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Washington, William Lee. "A Case Study of RTI Data Teams." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1631.
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This qualitative case study addressed the persistent achievement gaps in annual measurable objectives (AMO) data at a public rural elementary school in the Mideast United States. Response to intervention (RTI) data teams from 2010 did not produce expected student gains after 5 years of implementation in the school under study. Based on Mandinach and Jackson's data-driven decision making conceptual framework, the purpose of this study was to examine the work of the RTI data teams as they attempted to improve student learning and close achievement gaps. A purposeful sample of 13 staff members involved in the RTI implementation process was interviewed. In addition, the RTI data team and student documentation were content analyzed for process and outcomes. Open coping and thematic data analysis of the interview transcripts revealed themes of fidelity, consistency, professional development, and data use in isolation. Findings suggested that the RTI teams lack sufficient time, professional development, and the capacity to address student learning gaps adequately. As an outcome, a guiding model for designing, implementing, and evaluating ongoing blended professional development was proposed. The intent of the project is to eliminate implementation barriers and establish effective data-driven decision making practices that improve instructional practice and student learning. This study has could assist educators in their efforts to implement RTI and build organizational capacity for data-driven decision making to address persistent achievement gaps effectively.
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Poler, Colin(Colin M. ). "Classifying teams in the NBA with player behavioral data." Thesis, Massachusetts Institute of Technology, 2018. https://hdl.handle.net/1721.1/122880.
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Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018Cataloged from PDF version of thesis.
Includes bibliographical references (page [25]).
I use SecondSpectrum play-by-play data from the 2016-2017 NBA season to assemble behavioral event data for each player. Behavioral data includes propensity to dribble/pass/shoot, and also the resulting quality of shot when players decide to shoot or make another pass. I apply a k-means clustering algorithm to cluster teams based on their starting lineup behavior data; the clusters show different team makeups within the behavioral data collected. In particular, the clustering identified pass-heavy vs dribble-heavy offenses, and good shot-decision making teams.
by Colin Poler.
S.B.
S.B. Massachusetts Institute of Technology, Department of Mechanical Engineering
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Glittum, Marius Nedal, and Even Stene. "Promoting reflection in agile software development teams using GitHub data." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23231.
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Agile software development teams work with several different artifacts ona daily basis, and by interacting with these artifacts users are involvedin work related experiences. By revisiting these experiences and reflectingupon them, users can evaluate and improve how they solve everyday workingtasks. Boud et.al defines reflection as a process where the experience is revis-ited, feelings are re-attended and the experience is re-evaluated[Boud et al.,1985]. Furthermore work and reflection on work are shown to be stronglyconnected[Schön, 1983][Chaiklin and Lave, 1993]. Reflecting on work ex-periences give a better understanding of the experience itself, allowing forconclusions and lessons learned to be made. Reflection transforms experi-ence into knowledge which can be applied to solve challenges in the everydayworking environment.The main focus of this thesis was to develop a technological tool to collectproject artifacts and connect these to work experiences, in order to enhancereflection both individually and collaboratively in agile software developmentteams. The tool was developed using a daily delivery cycle. Design choiceswere made on the basis of available theory, literature and related tools con-cerning reflection and agile development. Three evaluations were conducted;A usability study, an expert review with an expert in the field of agile soft-ware development and a focus group evaluation consisting of eight softwaredevelopers working in an agile team.The work conducted resulted in a Grails web-application, where usersconnect their daily experiences with project artifacts collected from a Version-control system. These daily reflection notes can be used both individuallyand collaboratively in a team as preparation for agile retrospective sessions.The tool continuously collects work-related project artifacts and presentsthese in order for users to revisit their work that day. The application aimsto trigger reflection on user experiences and storing the outcome in notes forlater use and sharing.This thesis, the developed tool and its evaluation contributes with an in-creased understanding of how reflection in agile software development teamscan be improved, by connecting experiences with work related project arti-facts.
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Limbäck, Ida, and Semer Said Yahya. "The Extent of Customer Data : A study of creating value from customer data for the finance department." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-438451.
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Among the diverse perspectives of value creation throughout history, recent studies imply that CFOs and finance officials can contribute to a holistic value creation process by integrating different business values. Therefore, this study aims to research whether the current dilemma of intangible assets (customer data) plays an important role in financial activities to lead to business value creation. The literature review highlights three independent variables; customer loyalty, decision-making, and predicting that are tested for an effect on the dependent variable value creation. Additionally, previous studies highlight data as efficiently utilized in cross-functional environments. A moderating variable cross-functional teams is thereby examined if it has a moderating effect. An online questionnaire was sent to 56 companies who were interested in participating, of which eventually 42 companies responded. Given the low response rate, the results revealed that decision-making was significant and valuable for the finance department’s value creation. However, the moderating effect significantly revealed, on the contrary, to strengthen predicting capabilities for the finance department to create value.Begreppet värdeskapande har historiskt sett studerats utifrån olika perspektiv. Tidigare studier har visat på att finansavdelningen kan, utöver de traditionella uppgifterna, bidra till att skapa värde inom företaget. Med bakgrund i detta är syftet med studien att undersöka huruvida det nuvarande dilemmat med immateriella tillgångar (kunddata) spelar en viktig roll i finansiella aktiviteter för att leda till skapande av affärsvärde. En litteraturöversikt i studien belyser följande värden som kunddata eventuellt leder till: kundlojalitet, beslutsfattande och förutsägelser. Variablerna testas i denna studie för att se om det, ur ett finansiellt perspektiv, har en effekt på värdeskapande. Tidigare studier visar även att data kan användas effektivt i tvärfunktionella miljöer. En modererande variabel tvärfunktionella team undersöks därmed för att se om den har en interaktionseffekt. Ett frågeformulär sändes till 56 företag som var intresserade av att delta, varav 42 företag svarade. Givet bristen på antal respondenter, visar resultatet att beslutfattande är en värdefull faktor för värdeskapande. Resultatet av moderatorn visar att den styrker relationen mellan förutsägelser och värdeskapande för finansavdelningen.
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Muhammad, Azhar Ranjha, and Adnan Ghalib Ahmad. "Data Analysis and Graph Presentation of Team Training Data." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-66998.
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This Report illustrates the team training system presentation as a web based graphs.The research is done based on the presentation of web information stored in database into the graphicalform. Ice-Faces with SQL database at back end data source is the way to demonstrate the implementationof graph system. By having research and comparisons it is found suitably best the Graph generating systemfor analysis of C3fire records.Several models for graphs are been selected for the illustration of best visualization of the demography andat last one with best demonstration of result is selected.The information which was displayed in tables stored in database is now viewable in the graphical format.The implementation was done by modifying and embedding codes in the previous version and successfullyimplementation is done. The graphs are displayed by the values stored in database and dynamicallyupdated as the values in the database are changed. There are four graphs finally selected and implementedthat shows the data, which are pie, bar, line and cluster bar graphs representing data in best viewableform.C3Fire
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Fullman, Leah Irene. "Craniofacial Teams' Data Collection and Reporting Methods for Videonasendoscopy and Videofluoroscopy." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/theses/557.
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Videonasendoscopy and videofluoroscopy are two instruments used by craniofacial teams for assessing velopharyngeal function. Various methods have been proposed throughout the literature for collecting and reporting data from these two types of imaging studies. The purpose of this investigation is to survey craniofacial teams regarding current use of videonasendoscopy and videofluoroscopy in the clinical setting. The results show the videonasendoscopy is more frequently used than videofluoroscopy and that estimations are a more common data collection/reporting method than objective measurements. The data also show that a wide variety of methods are currently in use and only a small number of teams use the standardizing method proposed by the international working group (Golding-Kushner, et al., 1990).
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Engvall, Maja. "Data-driven cost management for a cloud-based service across autonomous teams." Thesis, Uppsala universitet, Avdelningen för datalogi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-326185.
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Spotify started to use the cloud-based data warehouse BigQuery in 2016 with a business model of pay-as-you-go. Since then, usage has increased rapidly in volume and amount of users across the organisation which is a result of ease of use compared to previous data warehouse solutions. The technology procurement team lacks an overview of how BigQuery is used across Spotify and a strategy of how to maintain an environment where users make cost informed decisions when designing queries and creating tables. Incidents resulting in unexpected high bills are currently handled by a capacity analyst using billing data which is lacking the granularity of how cost maps to the users of BigQuery. The objective of this research is to provide recommendations on how audit data can enable a data driven cost-effective environment for BigQuery across the matrix formed engineering organisation at Spotify. First an overview of the current usage patterns is presented based on audit data which is modeled with regards to volume, complexity and utilization. Different patterns are identified using K-means clustering, including high-volume consuming squads and underutilized tables. Secondly, recommendations on transparency of audit data for cost-effectiveness are based on insights from cluster analysis, interviews and characteristics of organisation structure. Recommendations include transparency of data consumption to producers to prevent paying for unused resources and transparency to consumers on usage patterns to avoid paying for unexpected bills. Usage growth is recommended to be presented to the technology procurement squad which enables better understanding and mitigates challenges on cost forecasting and control.
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Baker, Jr William James. "Middle School Teachers' Perceptions of Data Use Within Professional Learning Communities." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/535.
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Researchers have shown that effective use of student data by teachers can inform teaching practice, leading to improved outcomes on standardized tests. In order to improve declining test scores at the middle school under study, professional development on the use of data teams was implemented. However, a year after implementation, teachers were still not utilizing data within their professional learning communities (PLC) effectively or at all. This qualitative case study addressed the problem of the need for teachers to use data more effectively. The conceptual framework of the study was based on the models of PLCs by DuFour and of data teams by Love. The research questions addressed how teachers perceived and used data in their PLCs in order to improve instruction. Qualitative data were collected from individual interviews with 7 teachers, observations of 8 PLC meetings, and review of PLC documents. Triangulation and member checking were used to bolster trustworthiness of interpretations. The data analysis led to 4 common themes: teachers felt they were forced to use data, had excessive responsibilities within PLCs, were busy with other required tasks, and needed more training on data use. The findings led to the design of a 5-day professional development series on data teams to be implemented at the middle school. This study has the potential to increase teacher capacity in using student data to inform instruction and to improve student achievement at the local school and district levels.
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Pietrobon, Alberto, and Abraham Bamidele Sunday Ogunmakinwa. "Business Intelligence and Customer Relationship Management: a Direct Support to Product Development Teams." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Informatik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-15473.
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For manufacturing firms, having knowledge about customers is very important, in particular for the developers and designers of new products. A way in which software can help to build an information channel between the customers and the firm is through Customer Relationship Management (CRM) and Business Intelligence (BI) solutions. Customers’ data are captured into the Customer Relationship Management solution while Business Intelligence analyses them and provide clear processed information to the developers and designers of new products. In this study we have researched if this process occurs in the industry, if and how it can be improved and what advantages it could bring to manufacturing firms. We have carried out the data collection by interviewing experts in four companies, three software companies that provide Business Intelligence solutions and one manufacturing firm. We found out that those software solutions are not used to directly connect developers and designers to customers’ data, and that there are no specific technical obstacles that prevents this, if not managerial reasons rooted in everyday practice. We also uncovered facts that would help to make this process more efficient and make customers’ data even more relevant to development.
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Andersen, Joachim Hjelmås. "Project Management in Agile Software Development : An empirical investigation of the use of Scrum in mature teams." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9869.
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DeWitt, David. "Teacher-Based Teams Talk of Change in Instructional Practices." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4615.
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Mandates have been issued for educators to collaborate and improve student achievement, requiring a change in instructional practices through teacher talk. Teachers have struggled to make the transitional conversion from team planning to observed changes in instructional practices with evidence of improvement. The purpose of this qualitative study was to examine how teachers collaborated while following the Ohio Improvement Process. The purpose was then to make data-driven changes regarding instructional practices in the continuous improvement cycle. The conceptual framework was constructed from the teachers' dialogic stances towards talk of instruction, along with the intellectual and emotional attitudes teachers have about making changes. The guiding research question examined the ways teachers have been influenced by each other to make changes in instructional practices. The case study design observed a sample of 10 teachers from two teacher-based teams, with five of those teachers being interviewed. Observational data were examined for dialogic stance toward talk of instructional practices, whereas interview data were analyzed looking for evidence of the cognitive restructuring. Statements were categorized as motivations and influences. The analysis revealed that the teachers are changing their thinking through motivations and influences from collaboration. Literature has supported the findings that teachers could benefit from a gradual implementation process leading to the continuous improvement cycle. By developing a policy recommendation paper with a focus on teacher learning, positive social change may include preparing and empowering teachers for the changes that occur through collaboration.
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Menking, Ricky Arnold. "The Effects of Team Dynamics Training on Conceptual Data Modeling Task Performance." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5448/.
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Database modeling is a complex conceptual topic often taught through the use of project-based teams. One of the problems with the use of project-based teams in university courses is the determination of whether this is the most effective use of instructor and student time involvement and effort level. Therefore, this study investigated the impact of providing team dynamics training prior to the commencement of short-duration project-based team conceptual data modeling projects on individual data modeling task performance (DMTP) outcomes and team cohesiveness. The literature review encompassed conceptual data design modeling, the use of a project-based team approach, team dynamics and cohesion, self-efficacy, gender, and diversity. The research population consisted of 75 university students at a North American University (Canadian) pursuing a business program requiring an information systems course in which database design components are taught. Analysis of the collected data revealed that there was a statistically significant inverse relationship found between the provision of team dynamics training and individual DMTP. However, no statistically significant relationship was found between team dynamics training and team cohesion. Therefore, this study calls into question the value of team dynamics training on learning outcomes in the case of very short duration project-based teams involved in conceptual data modeling tasks. Additional research in this area would need to clarify what about this particular experiment might have contributed to these results.
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Stone, Emily Clare Ackary. "Clinical Data Science in Lung Cancer Multidisciplinary Team Care." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23716.
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Lung cancer remains a major cause of cancer morbidity and mortality around the world. It is the most common cause of cancer in men worldwide, there were nearly 2.1 million new cases globally in 2018 according to GLOBOCAN data and in Australia, lung cancer is the commonest cause of cancer death in both men and women. The practice of lung cancer care within multidisciplinary teams (MDTs) has become progressively more common around the world and in many countries is regarded as best practice and standard of care. As MDTs have evolved, the methods of data collection and reporting have also changed, evolving from informal settings with minimal data collection to highly organised prospective recording of clinical information, regular audit and data integration as for example in the National Lung Cancer Audit in the United Kingdom. The work presented in this thesis aims to explore the use of clinical data by lung cancer multidisciplinary teams, to identify gaps in routine data organisation and use by clinicians and to develop datasets and feedback strategies that can lead to better clinical outcomes. Chapter 1 explores the background to multidisciplinary team care, outlines the methodology and provides the context for this body of work. Chapter 2 reviews the current literature on data use by multidisciplinary lung cancer teams across a range of settings (established teams, comprehensive cancer centres, emerging MDT services) and in different countries (Australia, UK, USA in particular). Chapter 3 explores the use of local MDT and cancer registry data to compare a range of clinical outcomes between lung cancer patients managed with and without MDT input. Chapter 4 develops optimal datasets (AMDAT datasets, Australian MDT Data) for lung cancer MDT collection, resulting from a modified Delphi consensus process involving MDT clinicians across Australia. Chapter 5 presents the results of a pilot data feedback study, based on the AMDAT datasets, to 3 separate lung cancer MDTs. Chapter 6 is a discussion chapter linking the results from Chapters 2 to 5, which summarizes the findings of the thesis, relates them to current understanding of lung cancer MDT use of data and develops concepts for future research into the best use of clinical data to optimize lung cancer MDT outcomes.
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Ditta, Mohammed Ali. "Designing multi-touch tabletop interaction techniques to support co-located Group Information Management." Thesis, Nelson Mandela Metropolitan University, 2013. http://hdl.handle.net/10948/d1020639.
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Co-located group information management (GIM) is a form of groupware with the aim of enabling users to collaboratively find, store, maintain, organise and share personal and/or group information in support of a group activity. Existing systems aimed at partially supporting GIM activities have been implemented on single user devices. These systems make use of asynchronous communication that may hinder collaboration by misinterpretation, information leaks, etc. Few systems exist, with limited functionality, that support co-located GIM. Multi-touch tabletop interaction has given rise to a new approach for supporting Computer Supported Cooperative Work (CSCW). Multi-touch tabletops allow multiple users to naturally interact with a computer device using a shared display and gesture interaction. The tabletop environment also enables users to sit in a natural environment and synchronously communicate without bulky desktops or laptops. Multi-touch tabletops provide the hardware necessary to support co-located GIM. Existing multi-touch interaction techniques were analysed and proved insufficient to support the advanced functional requirements of GIM. The goal of this research was therefore to support co-located GIM by designing new multi-touch tabletop interaction techniques. An architecture was proposed to support co-located GIM with new multi-touch interaction techniques. A software prototype was developed based on the proposed architecture to facilitate the main activities of GIM and to collaboratively compile documents. The prototype was named CollaGIM (Colla – collaborative, GIM – group information management). CollaGIM supports the main activities of GIM using natural gesture interaction on a multi-touch tabletop. An evaluation of the software was conducted by means of a user study where 15 teams of two people participated. High task success rates and user satisfaction results were achieved, which showed that CollaGIM was capable of supporting co-located GIM using the new multi-touch tabletop interaction techniques. CollaGIM also positively supported collaboration between users.
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Park, Young Hyun. "Supporting high productivity among disconnected mobile collaborative authors." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0009462.
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Sha, Long. "Representing and predicting multi-agent data in adversarial team sports." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/116506/1/Long_Sha_Thesis.pdf.
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This thesis addresses the theoretical challenges of the application of Artificial Intelligence (AI) to the domain of sports. The key contribution of this work is a new data representation that allows AI algorithms to understand real world sports games such as basketball and soccer. The theoretical advances that this thesis has contributed has the potential to make a significant impact on many aspects of sport analytics, such as prediction, retrieval and simulation. Intelligent systems have been developed based upon this method which enables active spectator engagement in sporting events and more effective coaching of athletes.
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Ahlstrand, Rebecca, and Annie Xu. "Guidelines to improve teamwork in software projects." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177553.
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In consulting firms one of the goals is to have the consultants on an assignment with an external client to bring in capital. In some consulting firms, when the consultants are not on an assignment with a client, they work on internal projects until a new assignment arrives. Since most of the team members do not work for more than a few days or weeks on the projects, it leads to a high team member turnover. In projects with such a turnover, problems such as hasty handovers, unclear roles and responsibilities and low-quality documentation may occur. The purpose of this thesis was to create guidelines to improve teamwork in teams with a high team member turnover. This thesis was based on a case study of a company specializing in information technology and management consulting. To begin to tackle this problem, a literature review was conducted and the data was collected by conducting interviews. The interviews were performed with team members that had been on a project for the longest and shortest period of time in order to identify problems from different perspectives. Based on the interviews and the literature study, guidelines were created to counteract the problems experienced in this type of volatile teams. The guidelines are categorized in four areas: processes, resources, people and long-term perspective. The areas cover the problems experienced and can be ultimately implemented in all teams with high team member turnover to improve teamwork in software projects.I konsultföretag är ett av målen att konsulterna ska vara på uppdrag hos en extern kund för att dra in pengar. I vissa konsultföretag, när konsulterna inte är hos en extern kund, arbetar de på interna projekt tills dess att ett nytt uppdrag kommer. Eftersom de flesta teammedlemmar inte jobbar i mer än några dagar på dessa interna projekt leder det till en hög omsättning av projektmedlemmar. I projekt med den typen av höga omsättning kan problem uppstå som förhastade överlämningar, otydliga roller och skyldigheter samt lågkvalitativ dokumentation. Målet med denna uppsats var att skapa riktlinjer för att förbättra lagarbete i teams med hög omsättning av projektmedlemmar. Denna uppsats var baserad på ett fallstudie på ett företag som är specialiserat på informationsteknik och management consulting. För att börja tackla detta problem utfördes en litteraturstudie och data samlades in genom intervjuer. Intervjuerna utfördes med de teammedlemmar som har deltagit i projektet längst respektive kortast tid, för att identifiera problemen utifrån olika perspektiv. Baserat på intervjuerna och litteraturstudien, skapades riktlinjer för att motverka dessa problem som uppstår i sådana typer av rörliga team. Riktlinjerna kan kategoriseras i fyra områden: processer, resurser, människor och långtids perspektiv. Dessa områden täcker de upplevda problemen och kan implementeras av teams som har hög omsättning av medlemmar för att förbättra arbetet inom teamet i mjukvaruprojekt.
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Beauvais, Erik Alexander Maoui. "An investigation of a framework to evaluate computer supported collaborative work." Thesis, Rhodes University, 1999. http://eprints.ru.ac.za/1383/.
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Tuyishimire, Emmanuel. "Cooperative data muling using a team of unmanned aerial vehicles." University of the Western Cape, 2019. http://hdl.handle.net/11394/7067.
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Philosophiae Doctor - PhDUnmanned Aerial Vehicles (UAVs) have recently o ered signi cant technological achievements. The advancement in related applications predicts an extended need for automated data muling by UAVs, to explore high risk places, ensure e ciency and reduce the cost of various products and services. Due to advances in technology, the actual UAVs are not as expensive as they once were. On the other hand, they are limited in their ight time especially if they have to use fuel. As a result, it has recently been proposed that they could be assisted by the ground static sensors which provide information of their surroundings. Then, the UAVs need only to provide actions depending on information received from the ground sensors. In addition, UAVs need to cooperate among themselves and work together with organised ground sensors to achieve an optimal coverage. The system to handle the cooperation of UAVs, together with the ground sensors, is still an interesting research topic which would bene t both rural and urban areas. In this thesis, an e cient ground sensor network for optimal UAVs coverage is rst proposed. This is done using a clustering scheme wherein, each cluster member transmits its sensor readings to its cluster head. A more e cient routing scheme for delivering readings to cluster head(s) for collection by UAVs is also proposed. Furthermore, airborne sensor deployment models are provided for e cient data collection from a unique sensor/target. The model proposed for this consists of a scheduling technique which manages the visitation of UAVs to target. Lastly, issues relating to the interplay between both types of sensor (airborne and ground/underground) networks are addressed by proposing the optimal UAVs task allocation models; which take caters for both the ground networking and aerial deployment. Existing network and tra c engineering techniques were adopted in order to handle the internetworking of the ground sensors. UAVs deployment is addressed by adopting Operational Research techniques including dynamic assignment and scheduling models. The proposed models were validated by simulations, experiments and in some cases, formal methods used to formalise and prove the correctness of key properties.
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Thomas, Godwin Dogara Ayenajeh. "A virtual-community-centric model for coordination in the South African public sector." Thesis, Nelson Mandela Metropolitan University, 2014. http://hdl.handle.net/10948/d1021073.
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Organizations face challenges constantly owing to limited resources. As such, to take advantage of new opportunities and to mitigate possible risks they look for new ways to collaborate, by sharing knowledge and competencies. Coordination among partners is critical in order to achieve success. The segmented South African public sector is no different. Driven by the desire to ensure proper service delivery in this sector, various government bodies and service providers play different roles towards the attainment of common goals. This is easier said than done, given the complexity of the distributed nature of the environment. Heterogeneity, autonomy, and the increasing need to collaborate provoke the need to develop an integrative and dynamic coordination support service system in the SA public sector. Thus, the research looks to theories/concepts and existing coordination practices to ground the process of development. To inform the design of the proposed artefact the research employs an interdisciplinary approach championed by coordination theory to review coordination-related theories and concepts. The effort accounts for coordination constructs that characterize and transform the problem and solution spaces. Thus, requirements are explicit towards identifying coordination breakdowns and their resolution. Furthermore, how coordination in a distributed environment is supported in practice is considered from a socio-technical perspective in an effort to account holistically for coordination support. Examining existing solutions identified shortcomings that, if addressed, can help to improve the solutions for coordination, which are often rigidly and narrowly defined. The research argues that introducing a mediating technological artefact conceived from a virtual community and service lenses can serve as a solution to the problem. By adopting a design-science research paradigm, the research develops a model as a primary artefact to support coordination from a collaboration standpoint. The suggestions from theory and practice and the unique case requirement identified through a novel case analysis framework form the basis of the model design. The proposed model support operation calls for an architecture which employs a design pattern that divides a complex whole into smaller, simpler parts, with the aim of reducing the system complexity. Four fundamental functions of the supporting architecture are introduced and discussed as they would support the operation and activities of the proposed collaboration lifecycle model geared towards streamlining coordination in a distributed environment. As part of the model development knowledge contributions are made in several ways. Firstly, an analytical instrument is presented that can be used by an enterprise architect or business analyst to study the coordination status quo of a collaborative activity in a distributed environment. Secondly, a lifecycle model is presented as meta-process model with activities that are geared towards streamlining the coordination of dynamic collaborative activities or projects. Thirdly, an architecture that will enable the technical virtual community-centric, context-aware environment that hosts the process-based operations is offered. Finally, the validation tool that represents the applied contribution to the research that promises possible adaptation for similar circumstances is presented. The artefacts contribute towards a design theory in IS research for the development and improvement of coordination support services in a distributed environment such as the South African public sector.
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Grubb, Justina. "Discussion Guide for using Data from the Student Risk Screening Scale - Internalizing and Externalizing: A Qualitative Study." BYU ScholarsArchive, 2021. https://scholarsarchive.byu.edu/etd/9000.
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School-wide screening can be used to effectively identify students within schools struggling with Emotional and Behavioral Disorders (EBD), so that school teams can implement instructional strategies and interventions to provide early and timely supports for all students. While research has explored many aspects of screening within schools, the extant research lacks studies reviewing screening data interpretation process. This research study was designed to investigate how school teams could use a discussion guide to facilitate using their screening data. This involved having school leadership teams answer a series of guiding questions about data from the Student Risk Screening Scale -- Internalizing and Externalizing (SRSS-IE). The SRSS-IE Discussion Guide was presented to teams to use as they reviewed their data and then explored the usefulness of the discussion guide in practical settings. This qualitative study sought to understand feedback from seven teams who used the Discussion Guide during their data interpretation meetings, inviting participants to share what they found helpful and what was not helpful as well as what they might add to the Discussion Guide. Content analysis was used to understand qualitative data gained through focus groups. The results yield a variety of praise for the Discussion Guide, valuing its ability to guide teams through the data analysis process and focusing team discussions. Data from the focus group participants included changing the Discussion Guide to include ideas for strategies and supports that matched student needs, encouraging several meetings to review data and use the discussion guide, and adding charts for further student information organization and exploration in regard to higher risk students.
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Aronsson, Claes. "Evolution of Neural Controllers for Robot Teams." Thesis, University of Skövde, Department of Computer Science, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-732.
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This dissertation evaluates evolutionary methods for evolving cooperative teams of robots. Cooperative robotics is a challenging research area in the field of artificial intelligence. Individual and autonomous robots may by cooperation enhance their performance compared to what they can achieve separately. The challenge of cooperative robotics is that performance relies on interactions between robots. The interactions are not always fully understood, which makes the designing process of hardware and software systems complex. Robotic soccer, such as the RoboCup competitions, offers an unpredictable dynamical environment for competing robot teams that encourages research of these complexities. Instead of trying to solve these problems by designing and implement the behavior, the robots can learn how to behave by evolutionary methods. For this reason, this dissertation evaluates evolution of neural controllers for a team of two robots in a competitive soccer environment. The idea is that evolutionary methods may be a solution to the complexities of creating cooperative robots. The methods used in the experiments are influenced by research of evolutionary algorithms with single autonomous robots and on robotic soccer. The results show that robot teams can evolve to a form of cooperative behavior with simple reactive behavior by relying on self-adaptation with little supervision and human interference.
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Wang, Tingting. "Multi-agent team competitions and the implementation of a team-strategy." HKBU Institutional Repository, 2006. http://repository.hkbu.edu.hk/etd_ra/772.
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Karlsson, Anton, and Kevin Berg. "Key success factors for Autonomous Agile Software Teams at the small-scale." Thesis, Tekniska Högskolan, Jönköping University, JTH, Datateknik och informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-50243.
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Purpose – This thesis is to identifying key success factors for autonomous agile teams at the small-scale. Furthermore the purpose leads to an improvement of their working process. Method – This study is based on a comparative case study of a company with offices located in Jönköping and Ängelholm. The data is gathered by semi-structured qualitative interviews and by a survey with qualitative and quantitative answers. Findings – The results from RQ1 shows that there exists a difference between established and non-established autonomous agile teams in order to achieve success for projects. The findings from RQ2 present six themes that each represent key success factors in an autonomous agile team-based IT project at the small scale. The themes are Customer Oriented, Architecture, Individual Development, Team Setup, Entirety and Privilege. The findings from RQ3 resulted in six different elements (Freedom and Flexibility, Trust and Responsibility, Clear directions, Environment, The work gives value and Shared knowledge) that make an individual team member satisfied in an autonomous agile team. Limitations – A fair limitation of this study is too few people to answered the survey. More respondents would have increased the trustworthiness of the results. Keywords – Autonomy, Self-organizing, Success factor, Agile development, Small-scale, Job satisfaction
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Briggs, Robert Owen. "The focus theory of group productivity and its application to development and testing of electronic group support systems." Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/186938.
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This dissertation develops the Focus Theory of Group Productivity, describes the use of the theory to guide development of several electronic group support tools, and reports the results of experiments testing whether the tools yield the predicted productivity gains. Focus theory posits that to be productive group members must divide their attention between three cognitive processes: communication, Deliberation, and information access. Communication, Deliberation, and information access are, in turn, constrained by limited attention and fading memory. Finally group members are only willing to engage their attention resources to the extent that the group goal is congruent with their individual goals. Electronic tools can reduce the attention demand of each of the three cognitive processes, and focus participant attention on appropriate problem-solving behaviors. Electronic tools can foster goal congruence under some circumstances. This dissertation describes how Focus Theory guided the development of the several electronic tools to support the needs of real groups experiencing real productivity problems. It reports the results of several laboratory experiments to test the goal-congruence hypothesis of Focus Theory. The first experiment frames social loafing and social comparison as goal congruence issues, showing that subjects using a real-time graph to compare their own performance to that of an average group generated more unique ideas than a group with no basis for comparison. Facilitation techniques boosted the salience of the comparison, further increasing performance. The second study frames affective reward as a goal congruence issue and develops and validates a measure for the construct. The third study frames user interface design in terms of goal congruence and demonstrates the strengths (pointing, selecting, moving, fine motor control) and weaknesses (handwriting recognition) of pen-based interfaces in those terms. The fourth study frames the classroom as a group-productivity setting and demonstrates that group support systems can be used to improve classroom interactions.
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Buffenbarger, Lauren. "Ethics in Data Science: Implementing a Harm Prevention Framework." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623166419961692.
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Horton, Michael. "Algorithms for the Analysis of Spatio-Temporal Data from Team Sports." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/17755.
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Modern object tracking systems are able to simultaneously record trajectories—sequences of time-stamped location points—for large numbers of objects with high frequency and accuracy. The availability of trajectory datasets has resulted in a consequent demand for algorithms and tools to extract information from these data. In this thesis, we present several contributions intended to do this, and in particular, to extract information from trajectories tracking football (soccer) players during matches. Football player trajectories have particular properties that both facilitate and present challenges for the algorithmic approaches to information extraction. The key property that we look to exploit is that the movement of the players reveals information about their objectives through cooperative and adversarial coordinated behaviour, and this, in turn, reveals the tactics and strategies employed to achieve the objectives. While the approaches presented here naturally deal with the application-specific properties of football player trajectories, they also apply to other domains where objects are tracked, for example behavioural ecology, traffic and urban planning.
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MacGibbon, David George. "An investigation into the effects of perceptions of person-team fit during online recruitment; and the uses of clickstream data associated with this medium." Thesis, University of Canterbury. Psychology, 2012. http://hdl.handle.net/10092/7007.
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Given the increasing predominance of work teams within organisations, this study aimed to investigate the role that perceptions of person-team fit has in the recruitment process, in addition to other forms of person-environment fit. An experimental design was followed which manipulated the amount of team information made available to participants. It was hypothesised that participants who received more information would exhibit higher perceptions of person-team fit. Results supported this prediction with levels of person-team fit being successfully manipulated. Results also showed significant correlations between person-team fit and organisational attraction which is important in the early stages of recruitment. This study was conducted remotely over the internet with clickstream data associated with this medium being collected. It was hypothesised that viewing order and times may be related to dependent variables. No support for this prediction was found, however it did identify a group of participants that appeared not to engage in the task, which has implications for future research carried out online.
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Edwards, W. Keith. "Coordination infrastructure in collaborative systems." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/32963.
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Bailey, Janet L. "Computer-Supported Collaborative Work and Its Application to Software Engineering in a Case Environment." Thesis, University of North Texas, 1997. https://digital.library.unt.edu/ark:/67531/metadc279296/.
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This study investigated, in the context of a field-based case study, possibilities for formation of a synergistic union between CSCW and CASE tools. A major dimension of today's software challenge is in gearing up for large-scale system development necessitating large teams of systems engineers. The principal goal of this research was to advance the body of knowledge regarding the nature of collaborative technological support in the software development process. Specifically, the study was designed to evaluate the potential for using a CSCW tool as an effective front-end to a CASE tool in the furtherance of SDLC goals.
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Yager, Susan Elizabeth. "The Role of Information Technology Support Mechanisms in Coordination Management for Virtual Teams." Thesis, University of North Texas, 1998. https://digital.library.unt.edu/ark:/67531/metadc278491/.
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The purpose of this research is to examine virtual team members' use and perceptions of information technology (IT) support mechanisms. The study identifies the IT support mechanisms currently in use and focuses on differences between virtual and non-virtual teams in control and coordination, IT acceptance, and IT adoption.
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Duffey, Keeva. "Implementation requires effort : A project teams’ experiences in implementing an eHealth tool in Southern Sweden." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-106067.
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Noncommunicable disease are the leading cause of death and disability in the majority of theworld, and particularly for Sweden. Modifiable lifestyle behaviors such as smoking, alcohol consumption, unhealthy diets and lack of physical activity are main contributors and risk factors to acquiring these diseases. Despite the evidence linking these risk factors to the diseases, thehealthcare sector has often fallen short in implementing preventive strategies due to severalbarriers and factors within this setting. ICT in the health sector, known as eHealth, cancontribute greatly to relieve the burden in the health systems in implementing new prevention strategies, however eHealth has its own set of barriers hindering implementation that delayadoption of such interventions. In the context of Sweden, emphasis has been made to incorporate increase eHealth initiative to reach their Vision 2025. To investigate how implementing eHealth strategies have been experienced in Sweden, this research has conducted a case study on a specific intervention implemented in the Southern Region of Skåne that incorporated an eHealth tool to aid in the intervention called “health discussions with 40-yearolds” aimed to address the NCD burden. A qualitative case study methodology was taken to investigate how was implementing a new eHealth tool within a prevention and screening of NCDs intervention in the healthcare setting experienced by the project implementation team during its pilot phase. Key challenges and factors for implementing the eHealth tool were extracted from the four interviews and reportcollected on the case to increase understanding of how the implementation was experienced by the program implementors. By focusing on the organizational level of the implementation only, the results from this study aimed to provide insights to key aspects in implementing new eHealth tools within interventions in the healthcare settings with similar organizational structures. Results from the qualitative thematic analysis led to a series of categories subcategories and themes to describe the experiences from the interviewees. The theme to describe the overall experiences was labeled positive but demanding, while the theme for challenges was labeled dintricacies of the health system structure, and the theme for factors was eHealth contingent on the human-social interaction. Core components were summarized for future eHealth implementation implications in this setting and/or similar settings. Challenges faced in this case reflect similar challenges in implementing eHealth in Sweden due to the complex fragmented health system structure. Business modeling and agile project management approaches may aid future health organizational settings eHealth implementation process. Future research isrequired to provide clear frameworks that can be applied in more local fragmented healthsystems
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Lennmor, Lynn. "Mind the Gap… A Case Study about Cross-functional Collaboration between Teams in Game Development." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254998.
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Game development today is a complex process that differs from traditional software development by presenting unique challenges stemming from a multidisciplinary structured process, including teams from multiple fields, such as art, sound, programming, design, human factors and more. This, together with the growth of the industry during recent years has increased the need for a more efficient cross-functional collaboration and understanding between these teams. This study focuses on the collaboration and understanding between two distinct teams, User Research (UR) and Development in order to try and shed some light on an emerging challenge of a gap in understanding that exists between the two fields. A case study was conducted at an established game company in Sweden, where a UR team was closely observed and analyzed. The results of this study showed that the issues and practices could be grouped into three different areas, Process, Communication, and Understanding that affected each other differently. Where a majority of the issues found often related to Communication and Understanding problems. The findings provided a glimpse of the gap in understanding in a game development process and what problems it can entail and what the possible solutions could streamline the process. However, in order to fully understand and fill this gap more thorough observations during a longer period of time is required.Spelutveckling idag är en komplex process, som skiljer sig från traditionell programutveckling genom att den presenterar unika utmaningar som härstammar från en multidisciplinär strukturerad process. Som inkluderar teams från många olika fält, såsom konst, ljud, programmering, design, mänskliga faktorer och många fler. Detta tillsammans med utvidgning av industrin de senaste åren har det skett ett behov av mer effektivt tvärfunktionellt samarbete och förståelse mellan dessa team. Denna studie fokuserar på samarbete och förståelsen mellan två specifika team, User Research (UR) och Development för att försöka belysa den uppkomna utmaningen av en klyfta i förståelsen som existerar mellan de två fälten. En fallstudie gjordes på ett etablerat spelföretag i Sverige, där ett UR team noggrant observerades and analyserades. Resultaten från studien visar att problem och praxis kunde grupperas i tre olika områden, Process, Kommunikation och Förståelse där var och en påverkade varandra olika, där majoriteten av de identifierade problemen ofta relaterade till Kommunikation och Förståelse problem. Upptäckterna gav en skymt av klyftan i förståelse som finns i en spelutvecklingsprocess och vilka problem den kan medföra samt vilka möjliga lösningar som skulle kunna effektivisera denna process. Dock, för att få full förståelse över denna klyfta och hur man kan skulle kunna fylla den så behövs en mer noggrannare studie över en längre tid.
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Nilekar, Shirish K. "A system-oriented analysis of team decision making in data rich environments." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/90698.
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2013.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 78-80).
The information processing view of organizations [1] and subsequent works highlight the primary role of information processing in the effective functioning of markets and organizations. With the current wave of "big data" and related technologies, data-oriented decision making is being widely discussed [2] as a means of using this vast amount of available data for better decisions which can lead to improved business results. The focus of many of these studies is at the organization level. However, decisions are made by teams of individuals and this is a complex socio-technical process. The quality of a decision depends on many factors including technical capabilities for data analysis and human factors like team dynamics, cognitive capabilities of the individuals and the team. In this thesis, we developed a systems theory based framework for decision making and identified four socio technical factors viz., data analytics, data sensing, power distribution, and conflict level which affect the quality of decisions made by teams. We then conducted "thought experiments" to investigate the relative contribution of each of these factors to the quality of decisions. Our experiments and subsequent analyses show that while improved data analytics does result in better decisions, human factors have an out-sized contribution to the quality of decisions, even in data rich environments. Moreover, when the human factors in a team improve, the predictability of the positive impacts due to improvements in technical capabilities of the team also increases.
by Shirish K. Nilekar.
S.M. in Engineering and Management
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Parker, Sean Stanley. "School-Based Data Teams Ask the Darnedest Questions About Statistics: Three Essays in the Epistemology of Statistical Consulting and Teaching." Thesis, Harvard University, 2014. http://nrs.harvard.edu/urn-3:HUL.InstRepos:13383545.
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The essays in this thesis attempt to answer the most difficult questions that I have faced as a teacher and consultant for school-based data teams. When we report statistics to our fellow educators, what do we say and what do we leave unsaid? What do averages mean when no student is average? Why do we treat our population of students as infinite when we test for statistical significance? I treat these as important philosophical questions. In the first essay, I use Paul Grice’s philosophical analysis of conversational logic to understand how data teams can accidentally mislead with true statistics, and I use Bernard Williams’s philosophical analysis of truthfulness to understand the value, for data teams, of not misleading with statistics. In short, statistical reports can be misleading when they violate the Gricean maxims of conversation (e.g., “be relevant,” “be orderly”). I argue that, for data teams, adhering to the Gricean maxims is an intrinsic value, alongside Williams’s intrinsic values of Sincerity and Accuracy. I conclude with some recommendations for school-based data teams. In the second essay, I build on Nelson Goodman and Catherine Z. Elgin’s analyses of exemplification to argue that averages (i.e., medians and means) are attenuated, moderate, and sometimes fictive exemplars. As such, medians and means lend themselves to scientific objectivity. In the third essay, I use Goodman’s theory of counterfactuals and Carl Hempel’s theory of explanation to articulate why data teams should make statistical inferences to infinite populations that include possible but not actual students. Data teams are generally concerned that their results are explainable by random chance. Random chance, as an explanation, implies lawlike generalizations, which in turn imply counterfactual claims about possible but not actual subjects. By statistically inferring to an infinite population of students, data teams can evaluate those counterfactual claims in order to assess the plausibility of random chance as an explanation for their findings.
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BRICK, ADÉLE, and HELENA HABBERSTAD. "Produktutvecklingsprocesser vid digitalisering av hemprodukter : Påverkan på intern struktur, projekttid, användardata och produktutvecklingsmetod." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279785.
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Under de senaste åren har digitaliseringen av fysiska produkter ökat, och allt fler företag har därmed börjat implementera digitala komponenter i sina produkter. Att implementera mjukvara i en analog produkt innebär nya utmaningar för produktutvecklingsteam som tidigare arbetat med att ta fram analoga produkter. Många företag har i och med digitaliseringen valt att anpassa sina produktutvecklingsmetoder med målet att integrera de digitala och analoga produktutvecklingsprocesserna med varandra. Syftet med studien är att undersöka hur produktutvecklingsprocesserna ser ut idag på produktutvecklande företag som har genomgått en digitalisering. De aspekter som har tagits extra hänsyn till är projekttid, produktutvecklingsmetod, företagets organisering och struktur samt insamling och implementering av användardata i produktutvecklingsprocessen. Företag som utvecklar uppkopplade produkter för hemmet är exempel på företag som just nu genomgår en digitalisering av tidigare analoga produkter, därför har företag med detta spår valts som inriktning vid denna studie. Studien har utförts genom en inledande litteraturstudie följt av kvalitativa intervjuer med fyra responderande företag, som samtliga utvecklar uppkopplade hemprodukter vilka innehåller IoT-teknologi. Studien visar att företagen strävar mot ett agilt arbetssätt, men att det finns svårigheter med att integrera hårdvaru- och mjukvaruutveckling i produktutvecklingsprocesserna. Trots detta upplevs utvecklingstiden i projekt som oförändrad jämfört med innan digitaliseringen. Det framkommer även att tvärfunktionalitet hos utvecklingsteamen är en fördel i samspelet mellan de digitala och analoga delarna av produktutvecklingen. Studien visade slutligen att kunddata som samlas in via digitaliserade produkter används av företag som ett verktyg för att effektivisera produktutvecklingen.In recent years digitalization of physical products has increased, and many companies has therefore started to implement digital components in their products. To add software to an analog product creates new challenges for the product development teams, which up until then mainly have been developing analog products. Many companies have, as a result of the digitalization, chosen to adapt their product development methods to manage the integration between digital and analog development processes. The purpose of this study is to investigate what the product developing process looks like today in companies that have digitalized their products. The aspects that are specifically considered are; project duration, product development method, organizational structure of the company, and implementation of big data in the product development process. Companies that develop products for home use is one example of companies that are going through a digitalization process of their previously analog products, which is why this branch of companies is targeted in this study. The study was conducted through an initial literature study, followed by interviews with four responding companies, who all develop connected home products containing IoT-technology. The study shows that the companies aim for a more agile work procedure, but that there are problems with integrating hardware and software development in product development processes. Nonetheless, the time duration of the projects does not appear to have changed significantly in comparison to pre-digitalization. It is also revealed that cross-functional teams are an advantage within the collaboration between the digital and analog parts in the development process. The study finally shows that big data, collected through digitalized products, is used by the companies as a tool for increasing the effectiveness of the product development.
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Slater, Alan. "How do school managers view and use data to help improve student achievement at their school?" Thesis, University of Oxford, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711732.
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Johansson, Josefin. "The knowledge base of machine learning, across data analytics teams in a matrix organization. : An exploratory case study on machine learning." Thesis, Karlstads universitet, Handelshögskolan, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-66283.
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Machine learning is a field within the broader concept of artificial intelligence and addresses the questions of how to build systems which learn from experience. The field is one of the oldest disciplines in computer science but has had many recent advancements due to the large amounts of data being generated. Today, machine learning together with artificial intelligence is seen as the two most rapidly growing fields within computer science. The purpose of this thesis is to explore and identify the current knowledge base of machine learning across data analytics teams, within the matrix organization Wise Inc.. This study has been performed using an exploratory case study method, based on the embedded units within the matrix organization. In this research, the units represent thirteen different cross-functional teams existing within the Wise Inc. organization. All thirteen teams are data analytics teams and performing a variety of different analytics depending on the team’s individual purpose. The analysis of embedded units has been performed within the units, but also across units. Using data collected through a qualitative questionnaire and interview, the knowledge base of machine learning could be explored and identified. Analysing the collected data, it was showed that the knowledge base across the data analytics teams in Wise Inc. is currently relatively low. Two key teams have been identified to have a very high level of knowledge. The knowledge base was examined based on participants theoretical and practical knowledge when it comes to machine learning. The aspect of machine learning usage and experience was included in the analysis and appeared to show a weak positive correlation to the overall knowledge. However, the statistical significance could not be determined. The empirical study also indicates that across teams, the level of knowledge is slightly higher than the level of experience. As a positive result, most participants appear to have a good theoretical understanding of machine learning in relation to artificial intelligence, which normally is one of the most common miss-interpretations. Even though the overall knowledge base is low, there are a few key people which stand out with a high knowledge base amongst teams. Observing the team as a whole the knowledge base is medium, but when looking at the individuals within the team there are a few key members with high expertise. These people are not working within the two teams identified with a high machine learning knowledge base but are part of other analytics teams. These people are important to identify as they can contribute with great value to the Wise Inc. organization.
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Rivera, Hernandez Lore Denisse. "EXPLORATORY ANALYSIS OF BUTLER COUNTY STREAM TEAM WATER QUALITY DATA 2007 to 2010." Miami University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1314034725.
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Lockwood, Meghan Greenberg. "Refining the Art of Coaching: Organizational Learning on a District Data Inquiry Team." Thesis, Harvard University, 2017. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33052846.
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Recent research on data-based decision making (DBDM) shows that while DBDM has been widely embraced, its use in practice is more complicated than simple models of data use would suggest. The question of how districts can effectively use DBDM is particularly critical if DBDM is going to be a major part of instructional improvement.
This dissertation extends DBDM research through a case study of a district-level team of Data Inquiry Facilitators in a large city in the northeastern United States. The Inquiry Facilitators coached teams of teachers as they integrated the Data Wise Improvement Process into their practice.
The first paper turns a critical lens to a key element of Data Wise and other DBDM processes: discussion protocols. I find that discussion protocols offer helpful structure for conversations but can restrict creativity, and that aspects of individuals’ personal and professional identities may intersect with their attitudes towards protocols.
The second paper describes how the Inquiry Facilitators changed their theory of action about their work with school teams. They realized that data coaching alone was not sufficient and needed to be paired with content and pedagogical content knowledge coaching in order to improve instruction. The need for instructional support was particularly acute as teachers implemented the Common Core State Standards for the first time.
The third paper focuses on the Inquiry Facilitators’ own use of data as a central office team. I find that in contrast to prior literature on district teams’ data use that has found it to be unsystematic, superficial, and subject to political pressure, this team was able to achieve double-loop learning through their data use process. I explore the habits of mind and structures that supported their organizational learning. Implications for supporting DBDM at the system level, the field of professional development, and DBDM research are discussed.
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Read, Martin John. "Development and evaluation of a group support system in organisational settings." Thesis, University of South Wales, 2003. https://pure.southwales.ac.uk/en/studentthesis/development-and-evaluation-of-a-group-support-system-in-organisational-settings(503d9c67-58ab-4168-9e75-f73d78734cfa).html.
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Group Support Systems (GSS) are systems, normally involving the use of Information Technology, that have been designed to support groups of people meeting to undertake some task. By providing an additional channel of communication, GSS attempt to reduce group process losses, such as domination of the group by one or more members, and to enhance positive aspects of the group process, for example a group member thinking of a new and useful idea as a result of awareness of the contribution of other group members. A number of different types of GSS have been developed involving different levels of IT support. However, the majority of research has been targeted at GSS involving networked personal computers, where each member of the group uses an individual personal computer to enter opinions and values. Another type of GSS involves a single personal computer, a large screen that can be viewed by all members of a group, and a number of personal handsets that can be used to send numeric information to the personal computer. Relative to networked personal computer based GSS, there has been far less research on the effectiveness of handset based GSS in supporting a group of people meeting on some task. Additionally, there is conflicting evidence between studies of GSS that have been undertaken in the laboratory, and studies that have been undertaken in the field. Laboratory studies have found little evidence to suggest that the group process is improved through the use of a GSS, whilst field studies have identified benefits. The evaluation of the validity of a GSS is a complex issue, and can be considered from a number of perspectives and approaches. This portfolio of projects concerns the development and evaluation of a type of k-GSS in organisational settings. The portfolio includes an account of the background to the development of the GSS and an initial evaluation of the usefulness of the system through a number of field studies. Two field applications of the GSS are the subject of an in-depth evaluation, and include evaluation of both process variables and output variables. The evaluation of the GSS in these applications suggests that an important factor in improving the group process through using a GSS is the extent to which dialogue is encouraged in the group. Additionally, a GSS Design Framework and GSS Design Guidelines are identified which should be reviewed when an application using this type of technology in an organisational context is being considered.
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Ko, Jaewon. "IMPACT OF LEADERSHIP AND TEAM MEMBERS' INDIVIDUALISM-COLLECTIVISM ON TEAM PROCESSES AND OUTCOMES: A LEADER-MEMBER EXCHANGE PERSPECTIVE." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1244%5F1%5Fm.pdf&type=application/pdf.
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Totapally, Hara. "Virtual design office: A collaborative unified modeling language tool." CSUSB ScholarWorks, 2001. https://scholarworks.lib.csusb.edu/etd-project/1994.
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Real-time conferencing and collaborative computing is a great way to make developers more effective. This project is a collaborative framework development comprising configurable client and server components.
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Wixted, Andrew James. "In-situ Athlete Monitoring: Data Collection, Interpretation & Feature Extraction." Thesis, Griffith University, 2007. http://hdl.handle.net/10072/365884.
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Abstract :The original core question of this thesis related to the real-time wireless collection of data from teams of athletes, in essence a technology - engineering issue. However, as time progressed, more fundamental questions evolved: What data is being collected, what does the data mean and how should it be interpreted? This question lies on the intersection of human movement studies, in the form of biomechanical & physiological sports science, and digital signal processing. The key biomechanical and physiological questions also feed back into the original real-time data collection issue. If data collected from athlete-mounted transducers1 is correctly interpreted, the salient features can be extracted and subsequently stored or transferred across a wireless network to a host system for analysis. Consequently this thesis addresses two intertwined issues, the real time in-situ data collection and the data processing necessary to extract some specific information useful to sports scientists.
In-situ athlete monitoring - data collection.
In the past, much athlete monitoring was performed under invasive conditions, either laboratory conditions or in specially prepared circumstances that were in-effect portable laboratories. Biomechanical analysis occurred on specially prepared rowing sculls or on running tracks with built-in instrumentation or tracks monitored by specialised high-speed cameras. Physiological monitoring required heart-rate monitoring, sampling of body fluids, monitoring of expired gasses and numerous other invasive techniques. With the advent of Micro-Electro Mechanical Systems (MEMS) such as gyroscopes, magnetometers, accelerometers etc., the opportunity existed for the in-situ monitoring of athletes both in training and in competition. While in-situ athlete monitoring can be simple data logging from a single transducer, the modern sports scientist needs more flexibility to gather the necessary information. Whether data is collected from multiple intra-athlete sensors or multiple inter-athlete sensors there must be a mechanism for synchronising that data so that it can be correctly recombined. This thesis addresses the synchronous data collection through the development of a real-time operating system, designed to operate as a node within a synchronised wireless sensor network. This thesis proposes wireless protocols, or 1 In this thesis the predominate transducer is the inertial sensor or 'accelerometer' although data from
other transducers is also analysed.
topologies, necessary for the operation of low-powered synchronised wireless sensor networks. Finally, the issue of appropriate data sampling, necessary to maximise retained information and minimise bandwidth, is addressed in a discussion on data compression. This discussion analyses the raw data from the viewpoints of the data collection and transport process and the useful extractable content of the data. Each aspect of the system was filtered through the necessity of minimising the effect of the monitoring system on the system under observation. In the case of elite athletes this means making a system as unobtrusive as possible, which ultimately impacts the power available for data collection, synchronisation, processing and transport.
Data interpretation and feature extraction.
There appears to be enormous potential for data collection and analysis as it relates to elite athletes and elite level sport. In this thesis only one or two thin slices of sports science, as it relates to elite athletes, were investigated. These investigations addressed specific questions relating to the automation of physiological monitoring of rugby football players.
Accelerometers have been used as tools for the estimation of human energy expenditure (EE). The EE estimator was known as 'counts' and, while effective for estimating EE of humans walking, was ineffective for estimating EE during running activities. It was hypothesised that the ineffectiveness was due to some form of biomechanical running efficiency factor that upset the EE estimator, and that this biomechanical efficiency factor may be extractable from the collected data. To extract apparently useful information, a range of signal processing techniques were investigated and their usefulness, in terms of correctness, processing efficiency, accuracy and interpretability analysed. The 'running efficiency factor' was investigated through biomechanical analysis of systematically collected multi-athlete multi-speed treadmill data. The biomechanical analysis (documented in Ch.6) while inconclusive on the original running-efficiency question suggested the possibility of other applications, such as running technique coaching, for this form of data collection and analysis.
The biomechanical analysis, in conjunction with an understanding of the related kinematics ultimately lead to the identification of features in the athlete data that could be used as EE estimators. Linear regression analysis identified that the athlete's leg-length appeared to have a correlation with several extracted parameters. One of these parameters was the athlete's natural step-frequency or cadence. By combining, in a linear equation, an athlete's step frequency with the athlete's anthropomorphic measures of leg-length and mass, an EE estimator that was more effective than the accelerometer 'counts' based estimators was generated. This estimator was immune to a range of errors that affect 'counts' based estimators.
Initially this EE estimator was extracted using the processing power of a desktop computer. It was necessary to move the processing to the lower power in-situ sensor platform. The underlying signal processing functions were replaced with potentially less accurate, low-power, signal processing functions. The effectiveness of these different techniques was evaluated.
While each chapter of this thesis is essentially stand-alone, most chapters describe some major component of the in-situ athlete monitoring system. Therefore, the in-situ athlete monitoring - data collection, interpretation and feature extraction is described by the low-powered real-time operating system (Ch.3) which provides the platform. The optimal sampling system is identified from the signal analysis of Ch.7 as is the data compression system used to log on-board data. Ch.4 describes the various signal processing techniques and identifies appropriate and inappropriate techniques for extracting information. Ch.5 analyses the extraction of the EE estimate and details the low-power implementation of the total rugby feature extraction. Ch.2 describes and proposes wireless network implementations necessary to bring together multiple individual in-situ monitoring systems, to generate a cohesive team-sport in-situ monitoring system.Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith University. School of Engineering.
Science, Environment, Engineering and Technology
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Andreasson, Julia, and Jessica Appelgren. "Användningen av Microsoft Team Foundation Server i agila projekt." Thesis, Karlstads universitet, Fakulteten för ekonomi, kommunikation och IT, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-28643.
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Roberts, Tristan Robert, and Tristan Robert Roberts. "Team 16056 Technical Data Package and Final Report: Modular Payload Bay for Unmanned Aircraft Systems." Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/625135.
Full textAbstract:
The unmanned aircraft system, or UAS, is a valuable defense industry asset, but it has
its limitations. As UAS platforms age, their payloads become obsolete and need to be
replaced with updated technology to stay relevant and effective. Changing payloads
often proves difficult because of the way they were integrated into the aircraft.
The goal of this project was to create a functional prototype of a modular mission
payload bay for a generic UAS. The design accommodates three payload types that
demonstrate the functionality of the payload bay; payloads must function in any given
payload slot without physical user intervention. The system recognizes which payload is
in which slot and functions appropriately.
Payload types are an LED, an LCD and a sound module. The functional prototype
created by the team makes UAS platforms highly versatile in terms of mission capability
and payload diversity.
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Villado, Anton James. "Face-to-face versus computer-mediated communication: An investigation of multiple outcomes across task-types." CSUSB ScholarWorks, 2001. https://scholarworks.lib.csusb.edu/etd-project/2082.
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A novel approach was used to investigate differences between groups using computer-mediated and face-to-face communication. In a laboratory setting, three-person groups completed three survival themed tasks. The tasks were related in that the output of a preliminary task became the input of the sequent task.
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Sams, Ivan. "Using multi-touch interaction techniques to support Collaborative Information Retrieval." Thesis, Nelson Mandela Metropolitan University, 2011. http://hdl.handle.net/10948/d1020156.
Full textAbstract:
Collaborative Information Retrieval (CIR) is a branch of Computer Supported Cooperative Work (CSCW). CIR is the process by which people search for and retrieve information, working together and using documents as data sources. Currently, computer support for CIR is limited to single user systems. Collaboration takes place either with users working at different times or in different locations. Multi-touch interaction has recently seen a rise in prominence owing to a reduction in the cost of the technology and increased frequency of use. Multi-touch surface computing allows multiple users to interact at once around a shared display. The aim of this research was to investigate how multi-touch interaction techniques could be used to support CIR effectively in a co-located environment. An application architecture for CIR systems that incorporates multi-touch interaction techniques was proposed. A prototype, called Co-IMBRA, was developed based on this architecture that used multi-touch interaction techniques to support CIR. This prototype allows multiple users to retrieve information, using the Internet as a shared information space. Documents are represented as visual objects that can be manipulated on the multi-touch surface, as well as rated, annotated and added to folders. A user study was undertaken to evaluate Co-IMBRA and determine whether the multi-touch interaction techniques effectively supported CIR. Fifteen teams of two users each participated in the user study. High task completion rates and low task times showed that the system was effective and efficient. High levels of user satisfaction were reported in the post-test questionnaires. Participants rated the system as highly useful and several commented that it promoted collaboration and that they enjoyed the test. The successful implementation of Co-IMBRA provides evidence that multi-touch interaction techniques can effectively support CIR. The results of the user evaluation also enabled recommendations for future research to be made.
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Ducksworth, Letatia Bright. "Supporting Computer-Mediated Collaboration through User Customized Agents." Thesis, University of North Texas, 2001. https://digital.library.unt.edu/ark:/67531/metadc3055/.
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This research investigated a neglected problem - interruption of groups by agent advisory systems. The question was whether interruption by the agent advisory system was beneficial. A survey of literature in four areas is included in this dissertation. The areas surveyed were Agents, Online Help, Computer Supported Cooperative Work(CSCW) and Awareness in CSCW. Based on the review, a human subject experiment was conducted. The study investigated whether the style of agent advisory interface improved the performance of group members. There were three sets of groups, a control set that did not have advisory agents, a set that had system provided advisory agents and a set that had group customized advisory agents. The groups worked together using a CSCW application developed with GroupKit, a CSCW toolkit. The groups with group customized advisory agents used an Agent Manager application to define advisory agents that would give them advice as they worked in the CSCW application. The findings showed that the type of advisory agents did not significantly influence the performance of the groups. The groups with customized agents performed slightly better than the other groups but the difference was not statistically significant. When notified that advice was issued, groups with customized agents and groups with provided agents seldom accessed the agent's advice. General design guidelines for agent interruption have not been solved. Future work is needed to finish the job. The definitive solution may be some mixture of the three known individual design solutions.
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Brown, Altarene Wagner. "Professional Learning Communities in a Juvenile Correctional Facility." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2345.
Full textAbstract:
There is little evidence concerning the impact of professional learning communities (PLCs) at juvenile correctional facilities. This qualitative case study explored the implementation of a PLC at a juvenile correctional facility school that housed students 10 to 19 years of age in southeastern United States. The purpose of this study was to understand the perceptions of teachers and paraprofessionals about how the PLC supported their work as they designed, constructed, and delivered instruction at the correctional facility. The social interactions among engaged educators through collaboration, collective inquiry, reflections, and communication derived from constructivist learning theory. Qualitative methodology included document review and structured face-to-face interviews with 4 teachers and 3 paraprofessionals. Following an inductive model, educators' perceptions were analyzed using an open coding process to derive categories, themes, and meaning. Five themes emerged: professional learning growth and benefits, teacher learning in PLCs, attitude adjustment of the culture, collaboration and sharing, and active engagement of paraprofessionals in PLCs. This study provided 5 recommendations: use allotted time, prioritize concerns, keep an open communication, discuss student-centered questions, and ensure supportive relationships. The findings indicated that the PLC supported teachers and paraprofessionals with strategies and accommodations to promote student achievement. This study has the potential to strengthen teacher collaboration and instruction to empower incarcerated students to succeed academically and become productive citizens.