Dissertations / Theses on the topic 'Learning trends'
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Prieto, Pérez Nevia, and Martín Silvana San. "Teaching and learning Methods: Theories and Trends in L2." Tesis, Universidad de Chile, 2004. http://www.repositorio.uchile.cl/handle/2250/110138.
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Informe de Seminario para optar al grado de Licenciado en Lengua y Literatura Inglesa.After many years of hard study and careful research, we can state that focusing on the teaching area is not the key to achieve a good proficiency when learning a foreign language. This idea is based on the fact that, even though there have been many attempts to develop a good method for teaching languages through many decades, none of them has proved to be accepted by the whole language teaching community. Since our work was originally planned to encompass teaching and learning, from our point of view the process of learning is undoubtedly the most important thing. Consequently it must be studied in depth.
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Wildt, Johannes. "Bestandsaufnahme und Trends guter Lehre." Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-137963.
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Die Szene der Qualitätsentwicklung in Lehre und Studium ist in Bewegung. Wissenschaftsorganisationen wie der Wissenschaftsrat (2008) oder die Hochschulrektorenkonferenz (2008) empfehlen mit Nachdruck, neue Initiativen und Anstrengungen in Lehre und Studium voranzutreiben. Allerorten werden zudem auf Hochschul-, Landes- und Bundesebene Lehrpreise ausgelobt.
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Fischer, Helge, Linda Heise, Matthias Heinz, Kathrin Möbius, and Thomas Köhler. "Trends der digitalen Lehre. Befunde einer Analyse des wissenschaftlichen Fachdiskurses." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-154002.
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Wie geht es mit E-Learning weiter? Welche E-Learning-Trends dominieren an Hochschulen? Welche Anwendungen stehen kurz vor dem Durchbruch? Der vorliegende Beitrag liefert ein differenziertes Bild über Trends und Hypes im E-Learning an deutschsprachigen Hochschulen.
Basierend auf konzeptionellen Überlegungen und empirischen Befunden, resultierend aus der inhaltsanalytischen Auswertung von Fachbeitragen wissenschaftlicher E-Learning-Leitkonferenzen, im Zeitraum von 2007 bis 2013, werden Entwicklungstendenzen einzelner Anwendungen identifiziert und diskutiert.
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Wildt, Johannes. "Bestandsaufnahme und Trends guter Lehre." Hochschuldidaktisches Zentrum, 2010. https://ul.qucosa.de/id/qucosa%3A11297.
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Die Szene der Qualitätsentwicklung in Lehre und Studium ist in Bewegung. Wissenschaftsorganisationen wie der Wissenschaftsrat (2008) oder die Hochschulrektorenkonferenz (2008) empfehlen mit Nachdruck, neue Initiativen und Anstrengungen in Lehre und Studium voranzutreiben. Allerorten werden zudem auf Hochschul-, Landes- und Bundesebene Lehrpreise ausgelobt.
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Wood, Samantha (Soprano). "Distance Learning in Singing Education: An Overview of Historical and Modern Approaches and Future Trends." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1505254/.
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This research of distance learning in singing study provides some historical framework of long-distance singing study, including research on three former distance singing courses, which exemplify the "best practices" of their time: Siegel-Myers Correspondence School of Music, the Perfect Voice Institute, and the Hermann Klein Phono-Vocal Method: Based Upon the Famous School of Manuel Garcia. I also discuss current trends in long-distance singing study, including interviews and insights from current long-distance singing teachers using cutting edge technology in their virtual studios. Lastly, I make predictions and projections, based on analyses of past "best practices," where this information may have impact upon future methods of distance singing lessons, including conceivable distance singing course components of online degree programs offered at universities.
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Preece, Jenny. "Interpreting trends in graphs : a study of 14 and 15 year olds." Thesis, n.p, 1985. http://ethos.bl.uk/.
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Beukes, Janna Maree. "Collaborative partnership trends between teachers and educational psychology researchers." Diss., University of Pretoria, 2010. http://hdl.handle.net/2263/25378.
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The purpose of this descriptive and exploratory study was to obtain insight into collaborative partnership trends between educational psychology researchers and teachers, in order to inform participatory theory and practice in future methodology studies. The Community of Practice Framework theoretically framed the study, describing professional communities and the way in which meanings, beliefs and understandings are negotiated and reflected in communal practices. Five symposium and two reflection session presentations were purposefully selected and transcribed for qualitative content analysis in terms of a trend analysis. Findings indicate that collaborative partnerships between educational psychology researchers and teachers differ from other partnerships in that collaborative partnerships between teachers and educational psychology researchers appear to be directed by an overarching philosophy of “care”. Also, collaborative partnership studies between teachers and educational psychology researchers favour methodologies encouraging participation in identifying and addressing school-community issues. In this way, knowledge exchange and the co-creation of knowledge is promoted. These partnerships focus on how education, as well as teacher and learner experiences can be enhanced and be meaningful, rewarding, enabling and supportive. Finally, benefits and challenges in collaborative partnerships between teachers and educational psychology researchers are similar to those experienced by other professionals participating in collaborative partnerships.Dissertation (MEd)--University of Pretoria, 2010.
Educational Psychology
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Ngai, Irene. "Developmental Trends in Social Cognition for Children with and without Disabilities." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/psych_theses/36.
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Sruogaitė-Kuliešienė, Austė. "Trends of adult education in Europe: current situation of senior citizens' foreign language learning in Lithuania." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130606_102611-07490.
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Recent demographic changes in Europe (ageing, migration and others) demonstrate the importance of senior adult education – an urgent issue at both national and the European Union policy levels. Extended retirement age in the Member States of the EU is a big challenge in the process of employment of elderly people. Lifelong language learning (LLL) is equally important for both active, working-age citizens and for senior citizens of retirement age. The problem of the research is grounded in the challenges that many European societies currently face: the retirement age being extended, employees need to adapt to the changed working conditions and satisfy urgent demands of the market. One of the basic needs is to acquire or maintain multilingual skills, without which their status in the competitive market would become complicated. Thus, the main aim of this research is to examine current issues of adult education in Europe and Lithuania, focusing on senior citizens’ foreign language acquisition.
Considering the main aim of this paper, the following research question has been raised: What is the situation (reasons, obstacles, motivational factors and others) of lifelong language learning in Lithuania (the case of senior citizens)? The following research methods were suggested by the above-mentioned research question: content analysis (the examination of the legislation, regulating senior adult education in the EU; the study of scholarly sources concerning the characteristics of... [to full text]Demografiniai pokyčiai Europoje (visuomenės senėjimas, migracija ir kt.) pabrėžia pagyvenusių asmenų švietimo svarbą. Tai – aktuali problema tiek nacionaliniu, tiek Europos Sąjungos politikos lygmeniu. Pratęstas pensinis amžius ES valstybėse narėse tampa dideliu iššūkiu pagyvenusių asmenų užimtumo procese, todėl kalbų mokymasis visą gyvenimą yra svarbus tiek aktyviems, darbingo amžiaus gyventojams, tiek pensinio amžiaus žmonėms. Europos visuomenių patiriami iššūkiai: prailgintas pensinis amžius, darbuotojų adaptacija prie pasikeitusių darbo sąlygų ir šiandieninės rinkos poreikių patenkinimas, pagrindžia šio tyrimo problemą. Daugiakalbystės įgūdžių įgyjimas ir išlaikymas yra vienas iš pagrindinių poreikių ar reikalavimų, be kurio Europos gyventojų padėtis konkurencinėje darbo rinkoje tampa vis sudėtingesnė. Taigi, šio darbo tiklas – išanalizuoti suaugusiųjų švietimo problemas Europoje ir Lietuvoje, įtraukiant pagyvenusių asmenų užsienio kalbų mokymąsi. Kokia yra užsienio kalbų mokymosi visą gyvenimą situacija (priežastys, kliūtys, motyvaciniai ir kiti veiksniai) Lietuvoje (pagyvenusių asmenų atveju) – tyrimo klausimas, suformuluotas atsižvelgiant į pagrindinį šio darbo tikslą. Darbo tikslas nulėmė darbe taikytus tyrimo metodus, t.y. turinio analizę (teisinės bazės, reguliuojančios pagyvenusių asmenų švietimą Europos Sąjungos šalyse, analizę; mokslinių šaltinių, nagrinėjančių pagyvenusių besimokančiųjų savybes, apžvalgą; įstatymų, kitų dokumentų ir institucijų, reguliuojančių... [toliau žr. visą tekstą]
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Herrera, Mikael, and Georg Schierbeck. "Disadvantages of using non-linear video in shallow learning situations : A critical perspective on current trends." Thesis, Södertörns högskola, Medieteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-31977.
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Video learning material has reported benefits to in-person lectures, and it can improve knowledge transfer (Bishop & Verleger, 2013; Kim, 2013). Modern educational methods such as flipped classroom and MOOCs (MOOC, 2016) depend on implementing video as a learning resource. Furthermore, the traditional linear video has long been challenged by nonlinear video, both in terms of having interactive material (Zhang et al. 2006) and sectioned, indexed contents. In a critical approach (Bardzell, J & Bardzell, S, 2013) we investigated disadvantages to the non-linear way of using video; in particular if non-linear video streamlines the retrieval of information. We conducted an observational experiment to examine the efficiency of non-linear video compared to linear video. Results from the observation experiment conducted in this thesis, shows that the non-linear video group tended to answer less questions, within the same amount of time as the group which used the linear video.Video påvisas förbättra kommunikationen av kunskap genom att förmedla fakta i samband med att visuellt demonstrera information i praktiken (Bishop & Verleger, 2013; Kim, 2013). Moderna pedagogiska metoder som det flippade klassrummet och MOOCs (MOOC, 2016) grundar sig att implementera video som en lärande resurs. Det traditionella linjära videoformatet har länge ifrågasatts genom icke-linjär video, både när det gäller interaktivt material men även segmenterat och indexerat innehåll (Zhang et al. 2006). Med ett kritiskt förhållningssätt (Bardzell, J & Bardzell, S, 2013) undersöker vi det icke-linjära video formatet, i synnerhet om det icke-linjära formatet påverkar effektiviteten av inlärning. Vi har utfört ett observationsexperiment för att undersöka effektiviteten av icke-linjär jämfört med linjär video. Resultaten från experimentet visar på att gruppen som använde icke-linjär video svarade på färre frågor än gruppen som använde linjär videon.
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Alzoubi, Fawaz. "Pre-doctoral implant dentistry education: Trends, issues, and perspectives." Scholarly Commons, 2015. https://scholarlycommons.pacific.edu/uop_etds/46.
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Implant dentistry has emerged as a very reliable and predictable option for replacing missing teeth. Implant education at the pre-doctoral level has been implemented in most parts of the world and is currently perceived as a fundamental discipline in dental education. Dental graduates today are expected to have knowledge and possess skills at the competence level in order to provide care for the growing number of patients seeking this treatment option, which may be the optimal option for the majority of their cases. However, very little is known about current trends, issues, and perspectives of implant dentistry education. This study builds a knowledge base about implant dentistry education in pre-doctoral dental education programs. It begins with an overview of the current state of implant dentistry education described in Chapter 1. Chapter 2 evaluates faculty perception in Kuwait University Faculty of Dentistry regarding case-based-learning, a pedagogy that has been recommended by multiple dental education institutions as the context within which pre-doctoral implant dentistry education should be taught. Chapter 3 presents an example of how case-based-learning pedagogy might be implemented in the form of a case report. Chapter 4 creates the link between faculty perception and student outcomes and presents an evaluation of students' competence level regarding pre-doctoral implant education. Finally, Chapter 5 provides a summary and synthesis of the three articles with a focus on placing this research within the larger body of scholarship on implant education and on identifying implications for policy, future scholarship, and practice.
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Aksel, Fatih. "Enhancing Accuracy Of Hybrid Recommender Systems Through Adapting The Domain Trends." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612330/index.pdf.
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Traditional hybrid recommender systems typically follow a manually created fixed prediction strategy in their decision making process. Experts usually design these static strategies as fixed combinations of different techniques. However, people's tastes and desires are temporary and they gradually evolve. Moreover, each domain has unique characteristics, trends and unique user interests. Recent research has mostly focused on static hybridization schemes which do not change at runtime. In this thesis work, we describe an adaptive hybrid recommender system, called AdaRec that modifies its attached prediction strategy at runtime according to the performance of prediction techniques (user feedbacks). Our approach to this problem is to use adaptive prediction strategies. Experiment results with datasets show that our system outperforms naive hybrid recommender.
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Lim, Guo Quan. "An Evaluation of Long-Term Air Quality Trends in North Texas using Statistical and Machine Learning Techniques." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703414/.
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While ozone design values have decreased since 2000, the values measured in Denton Airport South (DEN), an exurban region in the northwest tip of the Dallas-Fort Worth (DFW) metroplex, remains above those measured in Dallas Hinton (DAL) and Fort Worth Northwest (FWNW), two extremely urbanized regions; in addition, all three sites remained in nonattainment of National Ambient Air Quality Standards (NAAQS) ozone despite reductions in measured NOx and CO concentrations. The region's inability to achieve ozone attainment is tied to its concentration of total non-methane organic compounds (TNMOC). The mean concentration of TNMOC measured at DAL, FWNW, and DEN between 2000 and 2018 were 67.4 ± 1.51 ppb-C, 89.31 ± 2.12 ppb-C, and 220.69 ± 10.36 ppb-C, respectively. Despite being the least urbanized site of the three, the TNMOC concentration measured at DEN was over twice as large as those measured at the other two sites. A factor-based source apportionment analysis using positive matrix factorization technique showed that natural gas was a major contributing source factor to the measured TNMOC concentrations at all three sites and the dominant source factor at DEN. Natural gas accounted for 32%, 40%, and 69% of the measured TNMOC concentration at DAL, FWNW, and DEN, respectively. The Barnett Shale region, an active shale gas region adjacent to DFW, is a massive source of unconventional TNMOC emissions in the region. Also, the ozone formation potential (OFP) of the TNMOC pool in DEN were overwhelmingly dominated by slow-reacting alkanes emitted from natural gas sources. While the air pollutant trends and characteristics of an urban airshed can be determined using long-term ambient air quality measurements, this is difficult in regions with sparse air quality monitoring. To solve the lack in spatial and temporal datasets in non-urban regions, various machine learning (ML) algorithms were used to train a computer cluster to predict air pollutant concentrations. Models built using certain ML algorithms performed significantly better than others in predicting air pollutants. The model built using the random forest (RF) algorithm had the lowest error. The performance of the prediction models was satisfactory when the local emission characteristics at the tested site were like the training site. However, the performance dropped considerably when tested against sites with significantly different emission characteristics or with extremely aggregated data points.
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West, Tessa Renae. "Current Trends in the Availability and Requirement of Learning Technology Courses for Pre-Service Educators at US Universities." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1248462/.
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This multi-faceted research study examined the current approach of educational technology courses and how integrating modern learning technologies into curriculum effectively is addressed in pre-service education programs at U.S. universities. The primary goal was to explain the current trends in the reviewed pre-service programs in relation to how future educators are prepared by the universities to incorporate educational technology and use technology enhanced curriculum. This study was an exploratory, non-positivistic qualitative study that employed multi-strategy and survey research approaches in order to establish a baseline of the way that technology integration skills are being addressed in undergraduate pre-service educator programs today. Survey participants were educators within a public or private K-12 system in the U.S. The participants' level of education, university attended, educational technology experience, and technology perceptions were gathered from the survey's Likert-type and open-end questions. Current and historically statistics and data were collected for each university identified from the survey responses. Findings of this study revealed outcomes related to participants' education, perception of educational technology, and university educational technology course offerings and/or requirements for undergraduate pre-service educator programs. Results of this research study provide a solid foundation for future research in these areas within the field of education.
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Ozaltan, Asli. "Sociological Analysis Of New Trends In Vocational Education And Training (vet) In Turkey." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/2/12612014/index.pdf.
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The aim of this study is to put forth the relationship between the transformation of the labor market and the production process and the vocational education and training in Turkey. The Study will reflect the effects of transformation on the individual and society. The research is conducted through interviews with social partners. The study touches upon the reflection of the understanding of new vocationalism adopted in line with the flexibilisation in the organization of work on the vocational and technical education in Turkey. It tries to explain how this new educational approach is shaped on the basis of the main three discourses such as lifelong learning, employability and flexibility. Consequently, the research focuses on the idea that transformation of vocational education and training in Turkey has occurred at discursive level and also based upon the prevailing opinion on the necessity of developing human resources in compliance with the needs of the economythat the transformation process. Contrary to expectations of the new vocational education and training system, it produces individual who feel themselves anxious and uncertain about the future, fear and feel in insecure, and accordingly, experiences deprivation and social exclusion.
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Lee, Siu Lun. "History and current trends of teaching Cantonese as a foreign language : investigating approaches to teaching and learning Cantonese." Thesis, University of Leicester, 2004. http://hdl.handle.net/2381/8614.
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This thesis uses documentary analysis and historical research methodology to trace the history and development of Teaching Cantonese as a Foreign Language (TCFL), and examine the textbooks developed and teaching approaches used. It also uses empirical research tools, such as questionnaire surveys, interviews and diary studies, to elicit current learners' needs, and then it attempts to examine whether the textbooks and approaches used can satisfy learners' needs. Historical data shows that TCFL started in the 17th century by European missionaries and traders and was developed further in Hong Kong by missionaries and government officials. Learning materials and textbooks developed from early phrasebooks/dictionaries to textbooks with different teaching approaches, such as grammatical approach, grammar-translation approach, repetition and drilling approaches and functional-situational approaches. The historical data also shows that the background and needs of the learners have been changing over time and recent learners' backgrounds and needs have become more complex. Nowadays learners of CFL come from different parts of the world and from different professional fields. Their needs, reasons for learning, learning habits and difficulties have become heterogeneous. In order to cope with learners with different cultural backgrounds, the recent trend is to develop syllabuses and teaching materials based on language situations with cultural emphasis. The thesis shows that the teaching materials available and approaches used cannot completely cope with learners' needs nowadays. This thesis suggests using an eclectic teaching approach, which combines pronunciation training, drilling exercise, communicative activities and interactive tasks to teach Cantonese nowadays. Teachers and textbooks developers also need to incorporate cultural elements into language situations both inside the teaching materials and the language classrooms. The thesis provides valuable analysis and information for Cantonese teachers, material developers, curriculum designers, decision makers in the teaching institutions to design suitable curricula and teaching materials for the learners.
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Keahey, Heather Lynn. "Using a Text Mining Approach to Examine Online Learning Research Trends of the Past 20 Years (1997-2016)." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1062905/.
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The purpose of this research is to identify longitudinal trends relevant to online learning research within 15 highly regarded, peer-reviewed publications in educational technology and online education. Online instruction has become a popular form of education delivery across academic institutions. A review of literature on the topic shows that missing from the corpus is a trend analysis focused in online learning research across multiple journals. Previous efforts of establishing trends in online learning are narrow in focus using only one journal or a shortened time frame. This metatrend analysis employed text mining techniques to examine twenty years (1997-2016) of published research in an effort to establish past, present and emerging trends within published literature. A general bibliometric analysis is offered highlighting prolific and yearly journal publications. Meaningful trending terms used during the twenty-year time period were identified and analyzed. A cluster analysis performed on the extracted data provides a single layer taxonomy regarding online learning research. Time trends within the clusters were identified to offer a more in-depth analysis. Trends revealed during the research indicate a changing relationship of online learning and distance education. A strong emphasis on students and learning was noted as a consistent trend throughout the literature. Emerging categories recognized include openness and mobility, game-based learning, and MOOCs. The intention of the research is to offer an overview of trends in online learning research in order to contribute to the ongoing dialogue concerning the development and delivery of online education.
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Lawanto, Kevin N. "Exploring Trends in Middle School Students' Computational Thinking in the Online Scratch Community: a Pilot Study." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/5072.
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Teaching computational thinking has been a focus of recent efforts to broaden the reach of computer science (CS) education for today’s students who live and work in a world that is heavily influenced by computing principles. Computational thinking (CT) essentially means thinking like a computer scientist by using principles and concepts learned in CS as part of our daily lives. Not only is CT essential for the development of computer applications, but it can also be used to support problem solving across all disciplines. Computational thinking involves solving problems by drawing from skills fundamental to CS such as decomposition, pattern recognition, abstraction, and algorithm design.
The present study examined how Dr. Scratch, a CT assessment tool, functions as an assessment for computational thinking. This study compared strengths and weaknesses of the CT skills of 360 seventh- and eighth-grade students who were engaged in a Scratch programming environment through the use of Dr. Scratch. The data were collected from a publicly available dataset available on the Scratch website. The Mann-Whitney U analysis revealed that there were specific similarities and differences between the seventh- and eighth-grade CT skills. The findings also highlight affordances and constraints of Dr. Scratch as a CT tool and address the challenges of analyzing Scratch projects from young Scratch learners. Recommendations are offered to researchers and educators about how they might use Scratch data to help improve students’ CT skills.
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Redyuk, Sergey. "Finding early signals of emerging trends in text through topic modeling and anomaly detection." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15507.
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Trend prediction has become an extremely popular practice in many industrial sectors and academia. It is beneficial for strategic planning and decision making, and facilitates exploring new research directions that are not yet matured. To anticipate future trends in academic environment, a researcher needs to analyze an extensive amount of literature and scientific publications, and gain expertise in the particular research domain. This approach is time-consuming and extremely complicated due to abundance of data and its diversity. Modern machine learning tools, on the other hand, are capable of processing tremendous volumes of data, reaching the real-time human-level performance for various applications. Achieving high performance in unsupervised prediction of emerging trends in text can indicate promising directions for future research and potentially lead to breakthrough discoveries in any field of science. This thesis addresses the problem of emerging trend prediction in text in two main steps: it utilizes HDP topic model to represent latent topic space of a given temporal collection of documents, DBSCAN clustering algorithm to detect groups with high-density regions in the document space potentially leading to emerging trends, and applies KLdivergence in order to capture deviating text which might indicate birth of a new not-yet-seen phenomenon. In order to empirically evaluate the effectiveness of the proposed framework and estimate its predictive capability, both synthetically generated corpora and real-world text collections from arXiv.org, an open-access electronic archive of scientific publications (category: Computer Science), and NIPS publications are used. For synthetic data, a text generator is designed which provides ground truth to evaluate the performance of anomaly detection algorithms. This work contributes to the body of knowledge in the area of emerging trend prediction in several ways. First of all, the method of incorporating topic modeling and anomaly detection algorithms for emerging trend prediction is a novel approach and highlights new perspectives in the subject area. Secondly, the three-level word-document-topic topology of anomalies is formalized in order to detect anomalies in temporal text collections which might lead to emerging trends. Finally, a framework for unsupervised detection of early signals of emerging trends in text is designed. The framework captures new vocabulary, documents with deviating word/topic distribution, and drifts in latent topic space as three main indicators of a novel phenomenon to occur, in accordance with the three-level topology of anomalies. The framework is not limited by particular sources of data and can be applied to any temporal text collections in combination with any online methods for soft clustering.
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Tawfik, Aly M. "Incorporating Perceptions, Learning Trends, Latent Classes, and Personality Traits in the Modeling of Driver Heterogeneity in Route Choice Behavior." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/37338.
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Driver heterogeneity in travel behavior has repeatedly been cited in the literature as a limitation that needs to be addressed. In this work, driver heterogeneity is addressed from four different perspectives. First, driver heterogeneity is addressed by models of driver perceptions of travel conditions: travel distance, time, and speed. Second, it is addressed from the perspective of driver learning trends and models of driver-types. Driver type is not commonly used in the vernacular of transportation engineering. It is a term that was developed in this work to reflect driver aggressiveness in route switching behavior. It may be interpreted as analogous to the commonly known personality-types, but applied to driver behavior. Third, driver heterogeneity is addressed via latent class choice models. Last, personality traits were found significant in all estimated models. The first three adopted perspectives were modeled as functions of variables of driver demographics, personality traits, and choice situation characteristics. The work is based on three datasets: a driving simulator experiment, an in situ driving experiment in real-world conditions, and a naturalistic real-life driving experiment. In total, the results are based on three experiments, 109 drivers, 74 route choice situations, and 8,644 route choices. It is assuring that results from all three experiments were found to be highly consistent. Discrepancies between predictions of network-oriented traffic assignment models and observed route choice percentages were identified and incorporating variables of driver heterogeneity were found to improve route choice model performance. Variables from all three groups: driver demographics, personality traits, and choice situation characteristics, were found significant in all considered models for driver heterogeneity. However, it is extremely interesting that all five variables of driver personality traits were found to be, in general, as significant as, and frequently more significant than, variables of trip characteristics â such as travel time. Neuroticism, extraversion and conscientiousness were found to increase route switching behavior, and openness to experience and agreeable were found to decrease route switching behavior. In addition, as expected, travel time was found to be highly significant in the models that were developed. However, unexpectedly, travel speed was also found to be highly significant, and travel distance was not as significant as expected. Results of this work are highly promising for the future of understanding and modeling of heterogeneity of human travel behavior, as well as for identifying target markets and the future of intelligent transportation systems.Ph. D.
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Hayes, Jonathan. "A comparative study on the quality of learning experience between traditional campus and online distance learning at a Masters level." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-30882.
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A COMPARATIVE CASE STUDY OF THE QUALITY OF LEARNING EXPERIENCE BETWEEN TRADITIONAL CAMPUS AND ON-LINE DISTANCE LEARNING AT A MASTERS LEVEL. This study compares the quality of learning experiences of traditional campus students to those of distance on-line students studying at a Masters level. Using an adapted version of “The theory of on-line learning quality” five dimensions of interaction were compared to determine if there was a significant statistical difference between both learning methods. The study took place within a Masters level program, in Linnaeus University, Sweden. The five dimensions of interaction included in the study are Instructor-Learner, Learner-Learner, Learner-Content, Learner-Interface, and Social Interaction. Using these dimensions of interaction to determine the quality of learning experience a questionnaire survey was designed for the students enrolled in the program. Answers to the survey questions used a Likert-scale schema for responses. A Mann-Whitney U-Test was performed on the response results. The results of the study found that there was little statistical difference between the quality of learning experience of traditional campus students to that of on-line distance students. The two survey questions which did show a statistical difference were related to the Instructor-Learner and Social dimensions of interaction. In a dual learning program of this type, recommendations are made to include a teaching assistant with responsibilities for monitoring on-line participation during live lectures.
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Stevens, Donald Garth. "A behavioural data approach towards predicting direct real estate markets in the United Kingdom." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/277014.
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In recent years, modern prediction models have evolved to include behavioural data such as user-generated search query data that capture market sentiment and reach beyond the grasp of established macroeconomic indicators. These applications had considerable success in predicting a wide range of economic phenomena with the assumption that internet interaction behaviour resembles probable offline behaviour. Despite the considerable success of this approach, the existing literature argues for the continuous validation of search query keywords and its probable meaning over time to avoid spurious and biased results. Although recent literature attempted to bridge the keyword validation gap, this line of research is still in its infancy. This thesis sets out to examine the validity of web search intention to serve as a “pure” demand proxy for direct real estate market prediction in the United Kingdom. More specifically, it is directed towards constructing web search indices to explore: (i) the extent to which an individual’s true real estate orientated intentions manifest themselves in their web search behaviour and (ii) the magnitude to which real-time information adds value towards the prediction of illiquid asset classes. In doing so, a conceptual framework is produced, which outlines the logic and importance associated with intention specific web search in the digital age, as well as its relation to real estate demand. The empirical findings suggest that intention specific keyword development might be of little importance for aggregate housing and office market forecasts in the United Kingdom. On the contrary, it seems that the viability of intention specific web search keyword development increases when it is directed at a specific regional market. The overall thesis narrative introduces a new way of thinking about web search in the context of economic demand and draws from a variety of principles and methodologies to establish an avenue from which future research can be conducted.
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Johansson, Richard, and Heino Otto Engström. "Topic propagation over time in internet security conferences : Topic modeling as a tool to investigate trends for future research." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177748.
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When conducting research, it is valuable to find high-ranked papers closely related to the specific research area, without spending too much time reading insignificant papers. To make this process more effective an automated process to extract topics from documents would be useful, and this is possible using topic modeling. Topic modeling can also be used to provide topic trends, where a topic is first mentioned, and who the original author was. In this paper, over 5000 articles are scraped from four different top-ranked internet security conferences, using a web scraper built in Python. From the articles, fourteen topics are extracted, using the topic modeling library Gensim and LDA Mallet, and the topics are visualized in graphs to find trends about which topics are emerging and fading away over twenty years. The result found in this research is that topic modeling is a powerful tool to extract topics, and when put into a time perspective, it is possible to identify topic trends, which can be explained when put into a bigger context.
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Kawala, François. "Prédiction de l'activité dans les réseaux sociaux." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAM021/document.
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Cette étude est dédiée à un problème d’exploration de données dans les médias sociaux: la prédiction d’activité. Dans ce problème nous essayons de prédire l’activité associée à une thématique pour un horizon temporel restreint. Dans ce problème des contenus générés par différents utilisateurs, n’ayant pas de lien entre eux, contribuent à l’activité d’une même thématique.Afin de pouvoir définir et étudier la prédiction d’activité sans référence explicite à un réseau social existant, nous définissons un cadre d’analyse générique qui permet de décrire de nombreux médias sociaux. Trois définitions de la prédiction d’activité sont proposées. Premièrement la prédiction de la magnitude d’activité, un problème de régression qui vise à prédire l’activité exacte d’une thématique. Secondement, la prédiction de Buzz, un problème de classification binaire qui vise à prédire quelles thématiques subiront une augmentation soudaine d’activité. Enfin la prédiction du rang d’activité, un problème de learning-to-rank qui vise à prédire l’importance relative de chacune des thématiques. Ces trois problèmes sont étudiés avec les méthodes de l’état de l’art en apprentissage automatique. Les descripteurs proposés pour ces études sont définis en utilisant le cadre d’analyse générique. Ainsi il est facile d’adapter ces descripteurs à différent média sociaux.Notre capacité à prédire l’activité des thématiques est testée à l’aide d’un ensemble de données multilingue: Français, Anglais et Allemand. Les données ont été collecté durant 51 semaines sur Twitter et un forum de discussion. Plus de 500 millions de contenus générés par les utilisateurs ont été capturé. Une méthode de validation croisée est proposée afin de ne pas introduire de biais expérimental lié au temps. De plus, une méthode d’extraction non-supervisée des candidats au buzz est proposée. En effet, les changements abrupts de popularité sont rares et l’ensemble d’entraˆınement est très déséquilibré. Les problèmes de prédiction de l’activité sont étudiés dans deux configurations expérimentales différentes. La première configuration expérimentale porte sur l’ensemble des données collectées dans les deux médias sociaux, et sur les trois langues observées. La seconde configuration expérimentale porte exclusivement sur Twitter. Cette seconde configuration expérimentale vise à améliorer la reproductibilité de nos expériences. Pour ce faire, nous nous concentrons sur un sous-ensemble des thématiques non ambigu¨es en Anglais. En outre, nous limitons la durée des observations à dix semaines consécutives afin de limiter les risques de changement structurel dans les données observéesThis dissertation is devoted to a social-media-mining problem named the activity-prediction problem. In this problem one aims to predict the number of user-generated-contents that will be created about a topic in the near future. The user-generated-contents that belong to a topic are not necessary related to each other.In order to study the activity-prediction problem without referring directly to a particular social-media, a generic framework is proposed. This generic framework allows to describe various social-media in a unified way. With this generic framework the activityprediction problem is defined independently of an actual social-media. Three examples are provided to illustrate how this generic framework describes social-media. Three defi- nitions of the activity-prediction problem are proposed. Firstly the magnitude prediction problem defines the activity-prediction as a regression problem. With this definition one aims to predict the exact activity of a topic. Secondly, the buzz classification problem defines the activity-prediction as a binary classification problem. With this definition one aims to predict if a topic will have an activity burst of a predefined amplitude. Thirdly the rank prediction problem defines the activity-prediction as a learning-to-rank problem. With this definition one aims to rank the topics accordingly to theirs future activity-levels. These three definitions of the activity prediction problem are tackled with state-of-the-art machine learning approaches applied to generic features. Indeed, these features are defined with the help of the generic framework. Therefore these features are easily adaptable to various social-media. There are two types of features. Firstly the features which describe a single topic. Secondly the features which describe the interplay between two topics.Our ability to predict the activity is tested against an industrial-size multilingual dataset. The data has been collected during 51 weeks. Two sources of data were used: Twitter and a bulletin-board-system. The collected data contains three languages: English, French and German. More than five hundred millions user-generated-contents were captured. Most of these user-generated-contents are related to computer hardware, video games, and mobile telephony. The data collection necessitated the implementation of a daily routine. The data was prepared so that commercial-contents and technical failure are not sources of noise. A cross-validation method that takes into account the time of observations is used. In addition an unsupervised method to extract buzz candidates is proposed. Indeed the training-sets are very ill-balanced for the buzz classification problem, and it is necessary to preselect buzz candidates. The activity-prediction problems are studied within two different experimental settings. The first experimental setting includes data from Twitter and the bulletin-board-system, on a long time-scale, and with three different languages. The second experimental setting is dedicated specifically to Twitter. This second experiment aims to increase the reproducibility of experiments as much as possible. Hence, this experimental setting includes user-generated-contents collected with respect to a list of unambiguous English terms. In addition the observation are restricted to ten consecutive weeks. Hence the risk of unannounced change in the public API of Twitter is minimized
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Nystad, Marcus, and Lukas Lindblom. "Artificial Intelligence in the Pulp and Paper Industry : Current State and Future Trends." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279574.
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The advancements in Artificial Intelligence (AI) have received large attention in recent years and increased awareness has led to massive societal benefits and new opportunities for industries able to capitalize on these emerging technologies. The pulp and paper industry is going through one of the most considerable transformations into Industry 4.0. Integrating AI technology in the manufacturing process of the pulp and paper industry has shown great potential, but there are uncertainties which direction companies are heading. This study is an investigation of the pulp and paper industry in collaboration with IBM that aims to fill a gap between academia and the progress companies are making. More specifically, this thesis is a multiple case study of the current state and barriers of AI technology in the Swedish pulp and paper industry, the future trends and expectations of AI and the way organizations are managing AI initiatives Semi-structured interviews were conducted with 11 participants from three perspectives and the data was thematically coded. Our analysis shows that the use of AI varies, and companies are primarily experimenting with a still immature technology. Several trends and areas with future potential were identified and it was shown that digital innovation management is highly regarded. We conclude that there are several barriers hindering further use of AI. However, continued progress with AI will provide large benefit long term in areas such as predictive maintenance and process optimization. Several measures taken to support initiatives with AI were identified and discussed. We encourage managers to take appropriate actions in the continued work toward AI integration and encourage further research in the area of potential reworks in R&D.Framgångarna inom Artificiell Intelligens (AI) har fått stor uppmärksamhet de senaste åren och ökad medvetenhet har lett till stora fördelar för samhället liksom nya möjligheter för industrier som tar vara på dessa nya teknologier. Pappers- och massa industrin genomgår en av de mest omfattande transformationerna mot Industri 4.0. Integreringen av AI-teknologi i industrins tillverkningsprocesser has visat stor potential, men också osäkerhet kring vilken riktning företag är på väg mot. Denna studie är en undersökning av den svenska pappers- och massaindustrin, i samarbete med IBM, som syftar till att minska gapet mellan akademin och framstegen företag inom industrin tar. Mer specifikt är denna uppsats en kombinerad fallstudie av det nuvarande läget, barriärerna till AI-teknik i den svenska pappers- och massa industrin, de framtida trenderna och förväntningarna på AI och metoderna företag använder för att stötta AI-initiativ. Semi-strukturerade intervjuer genomfördes med 11 deltagare från tre olika perspektiv och datan var tematiskt kodad. Vår analys visar att användning av AI varierar och företag experimenterar huvudsakligen med omogen teknik. Flera trender och områden med potential för framtiden identifierades och det visades att digital innovationshantering är högt ansedd. Vi sammanfattar med att det finns flera barriärer som hindrar fortsatt användning av AI. Fortsatt arbete med AI-tekniken kommer leda till stora fördelar på lång sikt inom områden som prediktivt underhåll och fortsatt processoptimering. Flera åtgärder för att stötta AI-initiativ var identifierade och diskuterades. Vi uppmuntrar industrin att genomföra lämpliga åtgärder i det fortsatta arbetet mot AI-integration och uppmuntrar fortsatt forskning inom potentiella omstruktureringar inom FoU.
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Ronda, Erlina R., and res cand@acu edu au. "A Framework of Growth Points in Students’ Developing Understanding of Function." Australian Catholic University. Trescowthick School of Education, 2004. http://dlibrary.acu.edu.au/digitaltheses/public/adt-acuvp55.29082005.
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This research developed a framework describing students’ developing understanding of function. The research started with the problem: How might typical learning paths of secondary school students’ developing understanding of function be described and assessed? The following principles and research questions guided the development of the framework. Principle 1. The framework should be research-based. Principle 2. The framework should include key aspects of the function concept. Principle 3. The framework should be in a form that would enable teachers to assess and monitor students’ developing understanding of this concept. Principle 4. The framework should reflect students’ big ideas or growth points which describe students’ key cognitive strategies, knowledge and skills in working with function tasks. Principle 5. The framework should reflect typical learning trajectories or a general trend of the growth points in students’ developing understanding of function. The following questions guided the development of the framework of growth points: 1. What are the growth points in students’ developing understanding of function? 2. What information on students’ understanding of function is revealed in the course of developing the framework of growth points that would be potentially useful for teachers? The framework considered four key domains of the function concept: Graphs, Equations, Linking Representations and Equivalent Functions. Students’ understanding of function in each of these domains was described in terms of growth points. Growth points are descriptions of students’ “big ideas”. The description of each growth point highlights students’ developing conceptual understanding rather than merely procedural understanding of a mathematical concept. For example, growth points in students’ understanding of function under Equations were: 1) interpretations based on individual points; 2) interpretations based on holistic analysis of relationships; 3) interpretations based on local properties; and, 4) manipulations and transformations of functions (in equation form) as objects. he growth points in each domain are more or less ordered according to the likelihood that these “big ideas” would emerge. o identify and describe these growth points, Year 8, 9 and 10 students in Australia and the Philippines were given tasks involving function that would highlight thinking in terms of the process-object conception and the property-oriented conception of function. Students’ performance on these tasks and their strategies served as bases for the identification and description of the growth points. he research approach was interpretive and exploratory during the initial stages of analysis. The research then moved to a quantitative approach to identify typical patterns across the growth points, before returning to an interpretive phase in refining the growth points in the light of these data. The main data were collected from students in the Philippines largely through two written tests. Interviews with a sample of students also provided insights into students’ strategies and interpretations of tasks. he research outputs, the research-based framework and the assessment tasks, have the potential to provide teachers with a structure through which they can assess and develop students’ growth in the understanding of function, and their own understanding of the function concept.
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Lutfi, Duaa. "The Realm of Self-Regulated Learning (SRL): An Examination of SRL in an Elementary Classroom Setting and its Relevancy to Trends in our Current Curricula." Honors in the Major Thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1556.
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Teaching and instructing students is a necessity, but creating ways to challenge them is a priority. This thesis focuses on Barry Zimmerman and Timothy Clearly’s Self-Regulation Empowerment Program (SREP). This model uses a problem-solving approach in establishing Self-Regulated Learning (SRL) strategies in students’ learning. Stemming from interdisciplinary questions such as, “what will help students be successful in and outside the classroom?” and “how do teachers challenge students without stifling their creativity?” this purpose of this study aims to explore the realm of Self-Regulated Learning (SRL). The present study further examines if SRL strategies and practices foster learning and are prevalent in current trends and curricula such as, Marzano and Common Core. After thorough analysis of student observations and coding of data, the findings concluded that SRL strategies fostered student learning. Students studied were more readily motivated to regulate their learning and attempt challenging tasks. Moreover these findings indicated an increase in student success and metacognitive knowledge, as the students were provided with more opportunities to engage in self-talk, self-reflection, strategic planning, and goal setting. Results suggested the flexibility of the SREP model and its application to current instructional practices. Implications and recommendations for further research into the SRL model across other disciplines are also presented and discussed.B.S.
Bachelors
Education and Human Performance
Educational and Human Sciences
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Van, Dijk Hilligje Gerritdina. "Critical issues impacting on skills development in the Department of Public Service and Administration trends and options /." Thesis, Pretoria : [s.n.], 2003. http://upetd.up.ac.za/thesis/available/etd-02242004-110247.
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Ekström, Katarina, and Jessica Hagström. "Kollektivt lärande i kunskapsföretag." Thesis, Linköping University, Department of Management and Economics, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-748.
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Background: For the knowledge company the employees’ competencies and knowledge are important assets. According to this, there has been a lot discussion about how to best take advantage of the employees’ knowledge and create organizational learning. This organizational learning can be difficult to create due to the individuals’ own goals and the fast changes in today’s society.
Purpose: “To define how factors such as time pressure, individualism and increased mobility on the future labour market will influence the knowledge companies and affect the organizational learning. We will also studyif mentoring in the future is a possible way to accomplish organizational learning.”
Delimitations: We have only investigated how the organizational learning will be affected by increased time pressure, individualism and mobility. We have also looked at organized, company internal, mentoring. Realization and
Results: We have conducted interviews at three different knowledge companies, where one of them has an organized, internal mentoring programme. We have also used three prognoses of future trends and compared these with the answers from the interviewees. From this we found that increased individualism and increased mobility can affect the organizational learning in both a negative and positive way. Increased time pressure is the most critical factor to create an organisational learning in knowledge companies.
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Cardona-Román, Diana Marcela, and Jenny Marcela Sánchez-Torres. "Scientometric analysis of the scientific research on the evaluation of the implementation of e-learning in the period 2000-2015." Pontificia Universidad Católica del Perú, 2017. http://repositorio.pucp.edu.pe/index/handle/123456789/116849.
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A documental review to provide an overview about the evaluation of implementationof e-learning beginning with the exploration in Scopus and Web of Science (WoS) from 2000 to 2015 has been carried out. It was used a methodology for analyzing scientometric with five stages: i) Recovery, ii) Migration, iii) Analysis, iv) Display and v) Interpretation. A set of 1147 records were analyzed, and, it was found that countries with the greatest contribution to research in e-learning were: the United States, Spain, UK, Australia and Germany. The study shown a range of topics related to e-learning and knowledge in different areas, but also a lack of worldwide research and Latin American authors were identified. Finally, this work will allow researchers to identify trends over the last fifteen years.Se realiza una revisión documental para proporcionar un panorama de investigaciónsobre la evaluación de la implementación del e-learning a partir de la exploración en Scopus y Web of Science (WoS) desde el año 2000 a 2015. Se usa una metodología de análisis cienciométrico de cinco etapas: i) Recuperación, ii) Migración, iii) Análisis, iv) Visualización e v) Interpretación. Se analizó un conjunto de 1147 registros encontrándose que los países con mayor aporte fueron: Estados Unidos, España, Reino Unido, Australia y Alemania. El análisis del panorama refleja una gama de temáticas relacionadas con el e-learning y diferentes áreas del saber, también, se encontró una escasa presencia de investigación y de autores de origen latinoamericano. Este trabajo permitirá que los investigadores identifiquen tendencias de los últimos quince años.
Uma revisão da literatura para fornecer uma visão geral da pesquisa sobre a avaliação da execução do e-learning a partir da exploração no Scopus e Web of Science (WoS) desde o ano 2000 até 2015 foi feita. A metodologia usada para a análise cienciométrica tem as seguintes cinco fases: i) Recuperação, ii) Migrações, iii) Análise, iv) Visualização e v) Interpretação. Um conjunto de 1147 registros foram analisados, encontrou-se que os países com maior contribuição à pesquisa são: os Estados Unidos, a Espanha, o Reino Unido, a Austrália e a Alemanha. O trabalho mostrou uma variedade de tópicos relacionados com as diferentes áreas do conhecimento e ao e-learning, assim como, a falta de investigações ao redor do mundo, e pesquisadores na América Latina. Finalmente, o trabalho permitirá aos pesquisadores identificar tendências presentadas ao longo dos últimos quinze anos.
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Saldanha, Raquel Forgiarini. "Supervisão em psicoterapia de orientação analítica hoje." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/179858.
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Introdução- Estudos sistematizados atualizados sobre a supervisão em psicoterapia de orientação analítica (POA) são escassos, consideram a percepção dos alunos ou supervisores separadamente e em geral não consideram o ensino entre médicos residentes de psiquiatria. Ainda, para que se exerça a função de supervisor nesta área não há exigências ou cursos obrigatórios e apesar das orientações relacionadas à supervisão analítica servirem de modelo, aspectos fundamentais do ensino da POA não são claramente descritos. Objetivos- O objetivo principal deste estudo é descrever a prática atual de supervisão em POA. Secundariamente, pretende-se estudar aspectos da “relação real” de supervisores e alunos, descrever possíveis fatores desta relação que influenciem no aprendizado e expor situações particulares da prática da supervisão nesta área. Participantes- Foram incluídas seis duplas de supervisores e alunos, graduados em medicina e psicologia, que tivessem concluído processo de supervisão há menos de um ano, enquanto cursavam o primeiro ou o segundo ano do curso de formação em POA em dois Centros de ensino de POA de Porto Alegre, RS. Método- Dois questionários com perguntas abertas e fechadas nortearam entrevistas realizadas com cada componente das duplas em estudo. Os instrumentos foram elaborados de maneira a contemplar a percepção dos supervisores e dos alunos a respeito dos tópicos de interesse dessa pesquisa. As entrevistas foram gravadas e transcritas na íntegra para posterior análise qualitativa pelo método de Bardin. Resultados e conclusões- Os resultados foram organizados em três categorias finais de resposta: 1) “Estrutura da supervisão” (contendo respostas relacionadas ao contrato, material de trabalho e avaliações); 2) “Relação real supervisor-aluno” (englobando aspectos da dupla 7 atual e outros relacionados ao aproveitamento da supervisão) e 3) “Percepções e contribuições dos supervisores” (compreendendo questões relacionadas à tecnologia, tratamento do aluno e as diferenças entre a supervisão em psicanálise e psicoterapia psicodinâmica). Os dados foram apresentados e discutidos de acordo com a literatura e sugestões de aspecto prático foram propostas para contribuir com o processo de ensino e aprendizado da técnica.Introduction- Updated and systematized studies on psychoanalytic psychotherapy (POA) supervision are scarce. In addition, the perceptions of students and supervisors are considered separately, as well as, generally, not much is given to teaching among resident physicians of psychiatry. There are no mandatory requirements or courses to perform the role of supervisor in this field, and although the recommendations related to analytical supervision work as a guide, the fundamental aspects of POA teaching are not clearly described. Objectives- The main objective of this study is to describe the current practice of supervision in POA. In addition, aspects of the real relationship between supervisors and students, possible factors that influence learning and particular situations of the practice of analytical will be exposed. Participants- Six supervisors and six respective students- psychiatrists and psychologistswho completed the supervision process in less than a year ago (during the first or second year of training), linked to two outpatient POA schools located in the city of Porto Alegre, south of Brazil. Method- The interviews were audio recorded and transcribed. The participants were stimulated to express their ideas freely and the questions and comments made by the interviewer aimed to deepen the work topics of interest. Late, data were analyzed, according to Bardin´s Content Analysis methodology. Results and conclusions- The content analysis resulted in 8 intermediate categories and 3 final categories, namely: 1) supervision structuring, 2) real supervisor-supervisee´s relationship and 3) supervisor´s contributions. (including questions related to technology, report of experiences of practice as supervisors). The data were presented, discussed and practical suggestions were proposed to contribute to the process of teaching and learning the technique of POA.
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Almeida, Elza Maria Rezende de [UNIFESP]. "A aprendizagem baseada em problemas no Curso de Graduação em Medicina da Universidade Federal do Amapá (UNIFAP): desafios da implantação curricular." Universidade Federal de São Paulo (UNIFESP), 2013. http://repositorio.unifesp.br/11600/41906.
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Made available in DSpace on 2018-06-06T11:36:15Z (GMT). No. of bitstreams: 0
Previous issue date: 2013Introdução: A educação médica no Brasil, ao longo dos anos, vem sofrendo transformações, principalmente no que se refere à implantação e reformulação curricular nos cursos de graduação em medicina, motivando o Ministério da Educação (MEC) a implantar as Diretrizes Curriculares Nacionais de 2001, levando o aluno a ter uma visão ampliada, crítico-reflexiva e capaz de atuar nos diversos níveis de atenção, com vistas à promoção, prevenção, recuperação e reabilitação da saúde. Neste contexto, a pesquisadora, docente da Universidade Federal do Amapá (UNIFAP) desde o início do curso, em 2010, preocupada com o seu desenvolvimento, observa algumas dificuldades de aplicação prática da metodologia da Aprendizagem Baseada em Problemas (ABP) entre os diversos sujeitos envolvidos, o que enseja a iniciativa deste estudo. Objetivos: Descrever o processo de implantação e desenvolvimento do Curso de Medicina na UNIFAP. Analisar, sob a ótica documental e da percepção dos atores envolvidos, a inserção e os fundamentos da ABP no Projeto Pedagógico do Curso. Identificar aspectos facilitadores e críticos para o desenvolvimento do novo Curso. Metodologia: Considerando-se a natureza dos dados a serem obtidos e analisados, foi utilizada a abordagem qualitativa, através de pesquisa documental, entrevista semi-estruturada, com perguntas abertas e semi-abertas, em que os sujeitos responderam a sete perguntas que tratavam desde os motivos da adoção do método ABP até o desenvolvimento do curso. Resultados e Discussão: Evidenciou-se que a adoção da metodologia ABP surgiu como uma opção (dentre outras possibilidades) que atendesse às determinações do MEC e algum grau de influência decorreu de visitas realizadas pelos gestores da Unifap a diversas intituições de ensino superior em saúde no país. Além disso, os entrevistados apontaram pontos importantes como o empenho dos gestores da UNIFAP, principalmente da Coordenação do curso de medicina, bem como a vontade dos professores e a compreensão dos alunos. Conclusões e Considerações Finais: A escolha da metodologia ABP para o curso de medicina da UNIFAP constitui um grande desafio tanto para os gestores e professores. Estes valorizaram a ABP na formação dos médicos, destacando a importância da formação continuada de docentes, especialmente na função de tutores para o sucesso da metodologia. A busca de uma nova maneira de organizar a produção do conhecimento no curso de medicina, com o compromisso de cada vez mais formar egressos capazes de transformar a sociedade, leva a ampliar o olhar ora descortinado, dirigido a uma temática extremamente atual representada pela formação médica de qualidade em locais distantes dos grandes centros de ensino médico.
Introduction: Medical education in Brazil, over the years, has undergone important changes, especially with regard to the implementation and curricular reform in undergraduate courses, prompting the Ministry of Education (MEC) to implement the National Curriculum Guidelines, in 2001, leading the student to have a wider, critical-reflexive view, being capable of acting at different levels of health care, aiming to promotion, prevention, recovery and rehabilitation of health. In this context, the researcher, teacher at the Federal University of Amapá (UNIFAP) since the beginning of the course, in 2010, identified some difficulties in the practical application of the methodology of Problem Based Learning (PBL) among the various subjects involved, which motivated the present study. Objectives: To describe the implementation and development of the Medical School in UNIFAP. To analyze, from documents and the perceptions of the involved actors, insertion and the fundamentals of the methodology of Problem Based Learning (PBL) in the Pedagogic Project of the Course. To identify facilitators and critical aspects related to the development of the new course. Methodology : Considering the nature of the data to be obtained and analyzed , the qualitative approach was used, through documental research, semistructured interviews with open and semi-open questions and a set of seven questions, answered by the subjects, that addressed since the reasons for the adoption of PBL to the development of the course. Results and Discussion: It was evident that the adoption of PBL has emerged as an option (among other possibilities) that met the stipulations of the MEC. Some degree of influence ran from visits by teachers of UNIFAP to several medical schools in the country. In addition, respondents pointed out important issues, as the commitment of teachers of UNIFAP, particularly the Coordination of medical school, as well as the willingness of teachers and students' understanding. Conclusions and Final Considerations: The choice of PBL for the Medical Course of UNIFAP is a major challenge for both managers and teachers. These valued PBL in medical training, highlighting the importance of continuing education for tutors, for the success of the methodology. The search for a new way of organizing the production of knowledge in the medical school, with a commitment to train graduates increasingly able to transform society, lead to broaden perspectives directed to extremely relevant issues posed by the medical training quality in locations distant from major centers of medical education
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Morgan, Arthur Vance IV. "A study of the effects of attribution retraining and cognitive self-instruction upon the academic and attentional skills, and cognitive-behavioral trends of elementary-age children served in self-contained learning disabilities programs." W&M ScholarWorks, 1990. https://scholarworks.wm.edu/etd/1539618346.
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The purpose of this study was to investigate the integration of an attribution retraining program and a cognitive self-instruction procedure as a means of improving the academic performance and component attentional skills and modifying the cognitive-behavioral beliefs and behaviors of elementary-age children served in self-contained learning disabilities (SCLD) programs.;Subjects were 77 children, 10-13 years of age, served in public school SCLD programs. A primary group (n = 27) received attributional retraining and cognitive self-instruction, a secondary group (n = 25) cognitive self-instruction alone, and a control group (n = 25) traditional instruction. Intervention in the treatment conditions was presented over the 10-week period in three phases: (a) Controlled Instruction, (b) Transition, and (c) Direct Instruction.;Assessment was conducted in reading, mathematics, and written language on a standardized instrument (Woodcock-Johnson Test of Achievement) and probe sheets, locus of control (Children's Nowicki-Strickland Internal-External control scale), cognitive-behavioral trends (Burks' Behavior Rating Scales), general attention (Visual-Aural Digit Span Test), and attentional style (Matching Familiar Figures Test).;Analysis of covariance and post hoc least squares means analysis revealed significant primary treatment growth in cognitive-behavioral outcomes (poor attention, poor ego strength, and excessive dependency) and probe sheet mathematics; significant primary treatment growth versus either secondary treatment or control conditions was noted in cognitive-behavioral areas (poor academics and poor impulse control) and standardized reading. No significant differences were noted in mathematics or written language on the standardized instrument, reading or written language on probe sheets, trends toward internality, general attention/memory, and latency (near significant) or error rate.;Recommendations include longer term investigations of antecedent attributions, clarification of the role of attribution in cognitive-behavioral change, and a diverse application of attribution retraining in education.
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Maciel, Ilana Maria de Oliveira. "AvaliaÃÃo de programas de educaÃÃo profissional: estudo em organizaÃÃes do sistema âSâ." Universidade Federal do CearÃ, 2009. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=15627.
Full textAbstract:
Esta pesquisa abordou a educaÃÃo profissional do Sistema âSâ
embasada em preceitos de abordagens consideradas reprodutivistas,
como a tecnicista, focada nos conceitos tradicionais de formaÃÃo, cujo
objetivo à formar e qualificar os trabalhadores no seu ambiente de
trabalho, na tentativa de reinserÃ-los no mercado de trabalho, se assim
convier. Como propulsor de um diÃlogo construtivo, com o objetivo de
servir como base na correlaÃÃo entre a teoria e a prÃtica no processo de
anÃlise, as abordagens teÃricas evocadas foram as progressista,
politÃcnica, construtivista, cognitivista, tecnicista e andragÃgica, ambos
com suas peculiaridades, todavia comuns no ato de aprender e ensinar.
Baseou-se na busca de respostas sobre os modelos praticados pelo
Sistema âSâ, quais as abordagens pedagÃgicas, estruturas essenciais da
educaÃÃo? E ainda, quais os nÃveis de avaliaÃÃo de Kirkpatrick sÃo
praticados nos programas de educaÃÃo profissional desse Sistema âSâ?
A metodologia da pesquisa utilizada, ainda pouco disseminada, foi a
quadripolar, cuja dissertaÃÃo estabelece um diÃlogo entre quatro polos,
a saber: epistemolÃgico ou contextualizaÃÃo histÃrica e filosÃfica do
objeto da pesquisa, o teÃrico que promoveu um diÃlogo entre os
autores, o morfolÃgico, ao relatar os modelos de educaÃÃo profissional e
avaliaÃÃo, e o tÃcnico, o qual trata das anÃlises no campo da
metodologia de pesquisa e dos dados coletados que puderam se
relacionar durante os escritos. Os primeiros resultados foram Ã
afirmaÃÃo do Sistema âSâ como formador dos trabalhadores e, apÃs
anÃlise dos dados coletados, as afirmaÃÃes de que as abordagens
predominantes foram a andragÃgica e a tecnicista, sendo indispensÃvel
observar o paralelo traÃado do objeto de estudo com a avaliaÃÃo
segundo modelo de avaliaÃÃo adotado que foca em quatro nÃveis:
reaÃÃo, aprendizagem, comportamento e resultados, o que demonstrou
claramente ao observar os resultados a predominÃncia nos nÃveis de
reaÃÃo ou de satisfaÃÃo dos participantes nas atividades de formaÃÃo
profissional e o nÃvel de aprendizagem para as organizaÃÃes do Sistema
âSâ mais desenvolvidas.A throughout the time, the Education focused before in the traditional concepts formation, based on the concepts one in such a way technician, made the positive base for System âSâ, whose objective is to form and to characterize the workers in its environment of work, in the attempt to place them to agree again if thus. As propeller of a constructive dialogue to serve of base in the correlation between the theory and the practical one in the analysis process, the evoked theoretical concepts had been the progressive, polytechnical, constructivist, cognitivism, technicality and andragÃgica, all with its peculiarities, however common in the act to learn and to teach. The methodology of the used research was of four polar regions, whose dissertation establishes a dialogue between four polar regions, namely: Epistemological or historical and philosophical composition of the object of the research, the theoretician whom a dialogue between the authors, the morphologic one promoted, when telling the models of professional education and evaluation, and the technician, which deals with the analyses in the field of the methodology of research and the collected data that had been able to become related during the writings. The first results had been the affirmation of System âSâ as development of the workers and, after analysis of the collected data, the affirmations or negations of the hypotheses, being indispensable to observe the traced parallel of the study object.
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Eamrurksiri, Araya. "Applying Machine Learning to LTE/5G Performance Trend Analysis." Thesis, Linköpings universitet, Statistik och maskininlärning, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139126.
Full textAbstract:
The core idea of this thesis is to reduce the workload of manual inspection when the performance analysis of an updated software is required. The Central Process- ing Unit (CPU) utilization, which is one of the essential factors for evaluating the performance, is analyzed. The purpose of this work is to apply machine learning techniques that are suitable for detecting the state of the CPU utilization and any changes in the test environment that affects the CPU utilization. The detection re- lies on a Markov switching model to identify structural changes, which are assumed to follow an unobserved Markov chain, in the time series data. A historical behav- ior of the data can be described by a first-order autoregression. Then, the Markov switching model becomes a Markov switching autoregressive model. Another ap- proach based on a non-parametric analysis, a distribution-free method that requires fewer assumptions, called an E-divisive method, is proposed. This method uses a hi- erarchical clustering algorithm to detect multiple change point locations in the time series data. As the data used in this analysis does not contain any ground truth, the evaluation of the methods is analyzed by generating simulated datasets with known states. Besides, these simulated datasets are used for studying and compar- ing between the Markov switching autoregressive model and the E-divisive method. Results show that the former method is preferable because of its better performance in detecting changes. Some information about the state of the CPU utilization are also obtained from performing the Markov switching model. The E-divisive method is proved to have less power in detecting changes and has a higher rate of missed detections. The results from applying the Markov switching autoregressive model to the real data are presented with interpretations and discussions.
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Jankó, Gabriel. "Trendy v e-learningu ve světě a v ČR." Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-14584.
Full textAbstract:
Diplomová práca sa zaoberá problematikou vývoja e-learningu v krajinách Európskej únie, Spojených štátoch amerických a v Českej republike. Prvá časť práce je venovaná obecnému predstaveniu e-learningu, jeho základným zložkám, štandardom a SWOT analýze. V ďalšej časti sú vyhodnotené údaje z rôznych štatistických úradov, na základe ktorých som sa snažil zistiť infraštrukturálne podmienky v jednotlivých krajinách, vybavenosť domácností a škôl počítačmi a internetom. Mojou snahou bolo poukázať na to , ktoré krajiny sú lídrom a ktoré zaostávajú v danej oblasti. Praktická časť sa venuje najmä vývojovým trendom. Na základe štyroch vyhodnotených systémov som sa snažil zmapovať situáciu na Českom trhu aby som v poslednej časti tejto práce mohol určiť smery vývoja doma a v zahraničí. Autorským prínosom tejto práce je komplexné predstavenie e-learningu, od histórie, cez súčasnú situáciu až k predpokladanému budúcemu vývoju.
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Jankó, Gabriel. "Trendy v e-learningu vo svete a v Českej republike." Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-856.
Full textAbstract:
Diplomová práca sa zaoberá problematikou vývoja e-learningu v krajinách Európskej únie, Spojených štátoch amerických a v Českej republike. Prvá časť práce je venovaná obecnému predstaveniu e-learningu, jeho základným zložkám, štandardom a SWOT analýze. V ďalšej časti sú vyhodnotené údaje z rôznych štatistických úradov, na základe ktorých som sa snažil zistiť infraštrukturálne podmienky v jednotlivých krajinách, vybavenosť domácností a škôl počítačmi a internetom. Mojou snahou bolo poukázať na to , ktoré krajiny sú lídrom a ktoré zaostávajú v danej oblasti. Praktická časť sa venuje najmä vývojovým trendom. Na základe štyroch vyhodnotených systémov som sa snažil zmapovať situáciu na Českom trhu aby som v poslednej časti tejto práce mohol určiť smery vývoja doma a v zahraničí. Autorským prínosom tejto práce je komplexné predstavenie e-learningu, od histórie, cez súčasnú situáciu až k predpokladanému budúcemu vývoju.
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Sinsel, Erik W. "Ensemble learning for ranking interesting attributes." Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4400.
Full textAbstract:
Thesis (M.S.)--West Virginia University, 2005.Title from document title page. Document formatted into pages; contains viii, 81 p. : ill. Includes abstract. Includes bibliographical references (p. 72-74).
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Sendur, Zeynel. "Text Document Categorization by Machine Learning." Scholarly Repository, 2008. http://scholarlyrepository.miami.edu/oa_theses/209.
Full textAbstract:
Because of the explosion of digital and online text information, automatic organization of documents has become a very important research area. There are mainly two machine learning approaches to enhance the organization task of the digital documents. One of them is the supervised approach, where pre-defined category labels are assigned to documents based on the likelihood suggested by a training set of labeled documents; and the other one is the unsupervised approach, where there is no need for human intervention or labeled documents at any point in the whole process. In this thesis, we concentrate on the supervised learning task which deals with document classification. One of the most important tasks of information retrieval is to induce classifiers capable of categorizing text documents. The same document can belong to two or more categories and this situation is referred by the term multi-label classification. Multi-label classification domains have been encountered in diverse fields. Most of the existing machine learning techniques which are in multi-label classification domains are extremely expensive since the documents are characterized by an extremely large number of features. In this thesis, we are trying to reduce these computational costs by applying different types of algorithms to the documents which are characterized by large number of features. Another important thing that we deal in this thesis is to have the highest possible accuracy when we have the high computational performance on text document categorization.
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Rodrigues, Antonio Jose Lopes. "Dynamic regression and supervised learning methods in time series modelling and forecasting." Thesis, Lancaster University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364365.
Full text
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Sundberg, Linda. "Learning Resource Centre (LRC) : en bibliotekstrend?" Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-18732.
Full textAbstract:
Learning Resource Centre, or LRC, is an international phenomenon and a response to the changing society that came with the development of information technology. The LRC concept spread internationally during the 1990s and began to influence Swedish collage libraries at the end of the decade. The main purpose of this study is to analyze if and how Swedish college libraries have incorporated the LRC concept. Is there a Swedish LRC model? Is the LRC concept still interesting or was it a trend that is now out of date? Interviews with eleven people from six college libraries aim to show how they define the concept LRC and how it has been integrated in to their organisations. In order to explain how these six collage libraries have related to and developed their own LRC concept an organisational theory with a mythical perspective has been used. This perspective is related to an institutional perspective and is presented by the Norwegian professors Tom Christensen, Per Lægreid, Paul G. Roness and Kjell Arne Røvik in Organisationsteori i offentlig sektor. This study concludes that there is no Swedish model, however there are some undeniably Swedish characteristics. The concept LRC is never or seldom used and the activities connected to LRC have become ordinary activities at college libraries. The substance of the LRC remains and has improved the chances for use of and collaboration within the organisation.Uppsatsnivå: D
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Hamouda, Sally Mohamed Fathy Mo. "Enhancing Learning of Recursion." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/64249.
Full textAbstract:
Recursion is one of the most important and hardest topics in lower division computer science courses. As it is an advanced programming skill, the best way to learn it is through targeted practice exercises. But the best practice problems are hard to grade. As a consequence, students experience only a small number of problems. The dearth of feedback to students regarding whether they understand the material compounds the difficulty of teaching and learning CS2 topics.
We present a new way for teaching such programming skills. Students view examples and visualizations, then practice a wide variety of automatically assessed, small-scale programming exercises that address the sub-skills required to learn recursion. The basic recursion tutorial (RecurTutor) teaches material typically encountered in CS2 courses. The advanced recursion in binary trees tutorial (BTRecurTutor) covers advanced recursion techniques most often encountered post CS2. It provides detailed feedback on the students' programming exercise answers by performing semantic code analysis on the student's code.
Experiments showed that RecurTutor supports recursion learning for CS2 level students. Students who used RecurTutor had statistically significant better grades on recursion exam questions than did students who used a typical instruction. Students who experienced RecurTutor spent statistically significant more time on solving programming exercises than students who experienced typical instruction, and came out with a statistically significant higher confidence level.
As a part of our effort in enhancing recursion learning, we have analyzed about 8000 CS2 exam responses on basic recursion questions. From those we discovered a collection of frequently repeated misconceptions, which allowed us to create a draft concept inventory that can be used to measure student's learning of basic recursion skills. We analyzed about 600 binary tree recursion programming exercises from CS3 exam responses. From these we found frequently recurring misconceptions.
The main goal of this work is to enhance the learning of recursion. On one side, the recursion tutorials aim to enhance student learning of this topic through addressing the main misconceptions and allow students to do enough practice. On the other side, the recursion concept inventory assesses independently student learning of recursion regardless of the instructional methods.Ph. D.
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Wang, Yu-Xiang. "New Paradigms and Optimality Guarantees in Statistical Learning and Estimation." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1113.
Full textAbstract:
Machine learning (ML) has become one of the most powerful classes of tools for artificial intelligence, personalized web services and data science problems across fields. Within the field of machine learning itself, there had been quite a number of paradigm shifts caused by the explosion of data size, computing power, modeling tools, and the new ways people collect, share, and make use of data sets. Data privacy, for instance, was much less of a problem before the availability of personal information online that could be used to identify users in anonymized data sets. Images, videos, as well as observations generated over a social networks, often have highly localized structures, that cannot be captured by standard nonparametric models. Moreover, the “common task framework” that is adopted by many sub- disciplines of AI has made it possible for many people to collaboratively and repeated work on the same data set, leading to implicit overfitting on public benchmarks. In addition, data collected in many internet services, e.g., web search and targeted ads, are not iid, but rather feedbacks specific to the deployed algorithm. This thesis presents technical contributions under a number of new mathematical frameworks that are designed to partially address these new paradigms. • Firstly, we consider the problem of statistical learning with privacy constraints. Under Vapnik’s general learning setting and the formalism of differential privacy (DP), we establish simple conditions that characterizes the private learnability, which reveals a mixture of positive and negative insight. We then identify generic methods that reuses existing randomness to effectively solve private learning in practice; and discuss weaker notions of privacy that allows for more favorable privacy-utility tradeoff. • Secondly, we develop a few generalizations of trend filtering, a locally-adaptive nonparametric regression technique that is minimax in 1D, to the multivariate setting and to graphs. We also study specific instances of the problems, e.g., total variation denoising on d-dimensional grids more closely and the results reveal interesting statistical computational trade-offs. • Thirdly, we investigate two problems in sequential interactive learning: a) off- policy evaluation in contextual bandits, that aims to use data collected from one algorithm to evaluate the performance of a different algorithm; b) the problem of adaptive data analysis, that uses randomization to prevent adversarial data analysts from a form of “p-hacking” through multiple steps of sequential data access. In the above problems, we will provide not only performance guarantees of algorithms but also certain notions of optimality. Whenever applicable, careful empirical studies on synthetic and real data are also included.
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Engström, Freja, and Rojas Disa Nilsson. "Prediction of the future trend of e-commerce." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301950.
Full textAbstract:
In recent years more companies have invested in electronic commerce as a result of more customers using the internet as a tool for shopping. However, the basics of marketing still apply to online stores, and thus companies need to conduct market analyses of customers and the online market to be able to successfully target customers online. In this report, we propose the use of machine learning, a tool that has received a lot of attention and positive affirmation for the ability to tackle a range of problems, to predict future trends of electronic commerce in Sweden. More precise, to predict the future share of users of electronic commerce in general and for certain demographics. We will build three different models, polynomial regression, SVR and ARIMA. The findings from the constructed forecasts were that there are differences between different demographics of customers and between groups within a certain demographic. Furthermore, the result showed that the forecast was more accurate when modelling a certain demographic than the entire population. Companies can thereby possibly use the models to predict the behaviour of certain smaller segments of the market and use that in their marketing to attract these customers.Pa senare år har många företag investerat i elektronisk handel, även kallat e-handel, vilket är ett resultat av att individer i samhället i större utsträckning använder internet som ett redskap. Grunderna för marknadsföring gäller fortfarande för webbaserade butiker, och därmed behöver företag genomföra marknadsanalyser över potentiella kunder och internet-marknaden för att kunna lansera starka marknadsföringskampanjer. I denna rapport föreslår vi användning av maskininlärning, ett verktyg som har fått mycket uppmärksamhet på senaste tiden för dess förmåga att hantera olika problem kring data och för att prognostisera framtida trender för e-handel i Sverige. Mer exakt kommer andelen användare av e-handel i framtiden prognostiseras, både generellt och för enskilda demografier. Vi kommer att implementera tre olika modeller, polynomisk regression, SVR och ARIMA. Resultaten från de konstruerade prognoserna visar att det finns tydliga skillnader mellan olika demografier av kunder och mellan grupper inom en viss demografi. Dessutom visade resultaten att prognoserna var mer exakta vid modellering av en viss demografi än över hela befolkningen. Företag kan därmed möjligtvis använda modellerna för att förutsäga beteendet hos vissa mindre segment av marknaden.
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Russell, Tyrel. "Learning Instruction Scheduling Heuristics from Optimal Data." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2949.
Full textAbstract:
The development of modern pipelined and multiple functional unit processors has increased the available instruction level parallelism. In order to fully utilize these resources, compiler writers spend large amounts of time developing complex scheduling heuristics for each new architecture. In order to reduce the time spent on this process, automated machine learning techniques have been proposed to generate scheduling heuristics. We present two case studies using these techniques to generate instruction scheduling heuristics for basic blocks and super blocks. A basic block is a block of code with a single flow of control and a super block is a collection of basic blocks with a single entry point but multiple exit points. We improve previous techniques for automated generation of basic block scheduling heuristics by increasing the quality of the training data and increasing the number of features considered, including several novel features that have useful effects on scheduling instructions. Our case study into super block scheduling heuristics is a novel contribution as previous approaches were only applied to basic blocks. We show through experimentation that we can produce efficient heuristics that perform better than current heuristic methods for basic block and super block scheduling. We show that we can reduce the number of non-optimally scheduled blocks by up to 55% for basic blocks and 38% for super blocks. We also show that we can produce better schedules 7. 8 times more often than the next best heuristic for basic blocks and 4. 4 times more often for super blocks.
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Roos, Sofie. "Chatbots in education : A passing trend or a valuable pedagogical tool?" Thesis, Uppsala universitet, Institutionen för informatik och media, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355054.
Full textAbstract:
Digitalizing education and reinventing the learning experience is one of the big challenges in this age of information. In the eld of E-learning, the application of a chatbot as part of the education has shown interesting potential, both as a teaching and administrative tool. Chatbots have been 'trending' for a few years and quite a few papers examining it in the educational sector has been published, albeit very little interest seems to have been given to the summation of this knowledge. In an attempt to fill the knowledge gap this thesis performed a literature study to examine the documented features and possible uses for chatbots in an educational context. Since quite a few chatbot technologies have been developed at this time and exhibit varied functions, this study was limited to only examine bots based on the XML derived language AIML. The results imply that chatbots in education have quite a few uses and even more possible features. An AIML-based chatbot can be both simple and complex to implement, all depending on the effort put into implementation. The tool is diverse and may be used for many different purposes and aims, the only limitation being the creators' creativity and imagination.
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Thorén, Daniel. "Radar based tank level measurement using machine learning : Agricultural machines." Thesis, Linköpings universitet, Programvara och system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176259.
Full textAbstract:
Agriculture is becoming more dependent on computerized solutions to make thefarmer’s job easier. The big step that many companies are working towards is fullyautonomous vehicles that work the fields. To that end, the equipment fitted to saidvehicles must also adapt and become autonomous. Making this equipment autonomoustakes many incremental steps, one of which is developing an accurate and reliable tanklevel measurement system. In this thesis, a system for tank level measurement in a seedplanting machine is evaluated. Traditional systems use load cells to measure the weightof the tank however, these types of systems are expensive to build and cumbersome torepair. They also add a lot of weight to the equipment which increases the fuel consump-tion of the tractor. Thus, this thesis investigates the use of radar sensors together witha number of Machine Learning algorithms. Fourteen radar sensors are fitted to a tankat different positions, data is collected, and a preprocessing method is developed. Then,the data is used to test the following Machine Learning algorithms: Bagged RegressionTrees (BG), Random Forest Regression (RF), Boosted Regression Trees (BRT), LinearRegression (LR), Linear Support Vector Machine (L-SVM), Multi-Layer Perceptron Re-gressor (MLPR). The model with the best 5-fold crossvalidation scores was Random For-est, closely followed by Boosted Regression Trees. A robustness test, using 5 previouslyunseen scenarios, revealed that the Boosted Regression Trees model was the most robust.The radar position analysis showed that 6 sensors together with the MLPR model gavethe best RMSE scores.In conclusion, the models performed well on this type of system which shows thatthey might be a competitive alternative to load cell based systems.
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Nie, Zhijie. "Hoeffding-Tree-Based Learning from Data Streams and Its Application in Online Voltage Security Assessment." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78805.
Full textAbstract:
According to the proposed definition and classification of power system stability addressed by IEEE and CIGRE Task Force, voltage stability refers to the stability of maintaining the steady voltage magnitudes at all buses in a power system when the system is subjected to a disturbance from a given operating condition (OC). Cascading outage due to voltage collapse is a probable consequence during insecure voltage situations. In this regard, fast responding and reliable voltage security assessment (VSA) is effective and indispensable for system to survive in conceivable contingencies. This paper aims at establishing an online systematic framework for voltage security assessment with high-speed data streams from synchrophasors and phasor data concentrators (PDCs). Periodically updated decision trees (DTs) have been applied in different subjects of security assessments in power systems. However, with a training data set of operating conditions that grows rapidly, re-training and restructuring a decision tree becomes a time-consuming process. Hoeffding-tree-based method constructs a learner that is capable of memory management to process streaming data without retaining the complete data set for training purposes in real-time and
guarantees the accuracy of learner. The proposed approach of voltage security assessment based on Very Fast Decision Tree (VFDT) system is tested and evaluated by the IEEE 118-bus standard system.Master of Science
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Alali, Ali. "Application of Support Vector Machine in Predicting the Market's Monthly Trend Direction." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/1496.
Full textAbstract:
In this work, we investigate different techniques to predict the monthly trend direction of the S&P 500 market index. The techniques use a machine learning classifier with technical and macroeconomic indicators as input features. The Support Vector Machine (SVM) classifier was explored in-depth in order to optimize the performance using four different kernels; Linear, Radial Basis Function (RBF), Polynomial, and Quadratic. A result found was the performance of the classifier can be optimized by reducing the number of macroeconomic features needed by 30% using Sequential Feature Selection. Further performance enhancement was achieved by optimizing the RBF kernel and SVM parameters through gridsearch. This resulted in final classification accuracy rates of 62% using technical features alone with gridsearch and 60.4% using macroeconomic features alone using Rankfeatures
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Swere, Erick A. R. "Machine learning in embedded systems." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/4969.
Full textAbstract:
This thesis describes novel machine learning techniques specifically designed for use in real-time embedded systems. The techniques directly address three major requirements of such learning systems. Firstly, learning must be capable of being achieved incrementally, since many applications do not have a representative training set available at the outset. Secondly, to guarantee real-time performance, the techniques must be able to operate within a deterministic and limited time bound. Thirdly, the memory requirement must be limited and known a priori to ensure the limited memory available to hold data in embedded systems will not be exceeded. The work described here has three principal contributions. The frequency table is a data structure specifically designed to reduce the memory requirements of incremental learning in embedded systems. The frequency table facilitates a compact representation of received data that is sufficient for decision tree generation. The frequency table decision tree (FTDT) learning method provides classification performance similar to existing decision tree approaches, but extends these to incremental learning while substantially reducing memory usage for practical problems. The incremental decision path (IDP) method is able to efficiently induce, from the frequency table of observations, the path through a decision tree that is necessary for the classification of a single instance. The classification performance of IDP is equivalent to that of existing decision tree algorithms, but since IDP allows the maximum number of partial decision tree nodes to be determined prior to the generation of the path, both the memory requirement and the execution time are deterministic. In this work, the viability of the techniques is demonstrated through application to realtime mobile robot navigation.