Дисертації з теми "Application of learning theory"
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Cleeton, G. "Development and application of a theory of learning barriers." Thesis, Keele University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306150.
Повний текст джерелаHu, Qiao Ph D. Massachusetts Institute of Technology. "Application of statistical learning theory to plankton image analysis." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/39206.
Повний текст джерелаIncludes bibliographical references (leaves 155-173).
A fundamental problem in limnology and oceanography is the inability to quickly identify and map distributions of plankton. This thesis addresses the problem by applying statistical machine learning to video images collected by an optical sampler, the Video Plankton Recorder (VPR). The research is focused on development of a real-time automatic plankton recognition system to estimate plankton abundance. The system includes four major components: pattern representation/feature measurement, feature extraction/selection, classification, and abundance estimation. After an extensive study on a traditional learning vector quantization (LVQ) neural network (NN) classifier built on shape-based features and different pattern representation methods, I developed a classification system combined multi-scale cooccurrence matrices feature with support vector machine classifier. This new method outperforms the traditional shape-based-NN classifier method by 12% in classification accuracy. Subsequent plankton abundance estimates are improved in the regions of low relative abundance by more than 50%. Both the NN and SVM classifiers have no rejection metrics. In this thesis, two rejection metrics were developed.
(cont.) One was based on the Euclidean distance in the feature space for NN classifier. The other used dual classifier (NN and SVM) voting as output. Using the dual-classification method alone yields almost as good abundance estimation as human labeling on a test-bed of real world data. However, the distance rejection metric for NN classifier might be more useful when the training samples are not "good" ie, representative of the field data. In summary, this thesis advances the current state-of-the-art plankton recognition system by demonstrating multi-scale texture-based features are more suitable for classifying field-collected images. The system was verified on a very large real-world dataset in systematic way for the first time. The accomplishments include developing a multi-scale occurrence matrices and support vector machine system, a dual-classification system, automatic correction in abundance estimation, and ability to get accurate abundance estimation from real-time automatic classification. The methods developed are generic and are likely to work on range of other image classification applications.
by Qiao Hu.
Ph.D.
Plaza, Cecilia Maria. "The Application of Transformative Learning Theory to Curricular Evaluation." Diss., The University of Arizona, 2006. http://hdl.handle.net/10150/194354.
Повний текст джерелаShi, Bin. "A Mathematical Framework on Machine Learning: Theory and Application." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3876.
Повний текст джерелаMouton, Hildegarde Suzanne. "Reinforcement learning : theory, methods and application to decision support systems." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/5304.
Повний текст джерелаENGLISH ABSTRACT: In this dissertation we study the machine learning subfield of Reinforcement Learning (RL). After developing a coherent background, we apply a Monte Carlo (MC) control algorithm with exploring starts (MCES), as well as an off-policy Temporal-Difference (TD) learning control algorithm, Q-learning, to a simplified version of the Weapon Assignment (WA) problem. For the MCES control algorithm, a discount parameter of τ = 1 is used. This gives very promising results when applied to 7 × 7 grids, as well as 71 × 71 grids. The same discount parameter cannot be applied to the Q-learning algorithm, as it causes the Q-values to diverge. We take a greedy approach, setting ε = 0, and vary the learning rate (α ) and the discount parameter (τ). Experimentation shows that the best results are found with set to 0.1 and constrained in the region 0.4 ≤ τ ≤ 0.7. The MC control algorithm with exploring starts gives promising results when applied to the WA problem. It performs significantly better than the off-policy TD algorithm, Q-learning, even though it is almost twice as slow. The modern battlefield is a fast paced, information rich environment, where discovery of intent, situation awareness and the rapid evolution of concepts of operation and doctrine are critical success factors. Combining the techniques investigated and tested in this work with other techniques in Artificial Intelligence (AI) and modern computational techniques may hold the key to solving some of the problems we now face in warfare.
AFRIKAANSE OPSOMMING: Die fokus van hierdie verhandeling is die masjienleer-algoritmes in die veld van versterkingsleer. ’n Koherente agtergrond van die veld word gevolg deur die toepassing van ’n Monte Carlo (MC) beheer-algoritme met ondersoekende begintoestande, sowel as ’n afbeleid Temporale-Verskil beheer-algoritme, Q-leer, op ’n vereenvoudigde weergawe van die wapentoekenningsprobleem. Vir die MC beheer-algoritme word ’n afslagparameter van τ = 1 gebruik. Dit lewer belowende resultate wanneer toegepas op 7 × 7 roosters, asook op 71 × 71 roosters. Dieselfde afslagparameter kan nie op die Q-leer algoritme toegepas word nie, aangesien dit veroorsaak dat die Q-waardes divergeer. Ons neem ’n gulsige aanslag deur die gulsigheidsparameter te verstel na ε = 0. Ons varieer dan die leertempo ( α) en die afslagparameter (τ). Die beste eksperimentele resultate is behaal wanneer = 0.1 en as die afslagparameter vasgehou word in die gebied 0.4 ≤ τ ≤ 0.7. Die MC beheer-algoritme lewer belowende resultate wanneer toegepas op die wapentoekenningsprobleem. Dit lewer beduidend beter resultate as die Q-leer algoritme, al neem dit omtrent twee keer so lank om uit te voer. Die moderne slagveld is ’n omgewing ryk aan inligting, waar dit kritiek belangrik is om vinnig die vyand se planne te verstaan, om bedag te wees op die omgewing en die konteks van gebeure, en waar die snelle ontwikkeling van die konsepte van operasie en doktrine lei tot sukses. Die tegniekes wat in die verhandeling ondersoek en getoets is, en ander kunsmatige intelligensie tegnieke en moderne berekeningstegnieke saamgesnoer, mag dalk die sleutel hou tot die oplossing van die probleme wat ons tans in die gesig staar in oorlogvoering.
Gianvecchio, Steven. "Application of information theory and statistical learning to anomaly detection." W&M ScholarWorks, 2010. https://scholarworks.wm.edu/etd/1539623563.
Повний текст джерелаCollins, Andrew. "Evaluating reinforcement learning for game theory application learning to price airline seats under competition." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/69751/.
Повний текст джерелаNarasimha, Rajesh. "Application of Information Theory and Learning to Network and Biological Tomography." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19889.
Повний текст джерелаJalalzai, Hamid. "Learning from multivariate extremes : theory and application to natural language processing." Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAT043.
Повний текст джерелаExtremes surround us and appear in a large variety of data. Natural data likethe ones related to environmental sciences contain extreme measurements; inhydrology, for instance, extremes may correspond to floods and heavy rainfalls or on the contrary droughts. Data related to human activity can also lead to extreme situations; in the case of bank transactions, the money allocated to a sale may be considerable and exceed common transactions. The analysis of this phenomenon is one of the basis of fraud detection. Another example related to humans is the frequency of encountered words. Some words are ubiquitous while others are rare. No matter the context, extremes which are rare by definition, correspond to uncanny data. These events are of particular concern because of the disastrous impact they may have. Extreme data, however, are less considered in modern statistics and applied machine learning, mainly because they are substantially scarce: these events are out numbered –in an era of so-called ”big data”– by the large amount of classical and non-extreme data that corresponds to the bulk of a distribution. Thus, the wide majority of machine learning tools and literature may not be well-suited or even performant on the distributional tails where extreme observations occur. Through this dissertation, the particular challenges of working with extremes are detailed and methods dedicated to them are proposed. The first part of the thesisis devoted to statistical learning in extreme regions. In Chapter 4, non-asymptotic bounds for the empirical angular measure are studied. Here, a pre-established anomaly detection scheme via minimum volume set on the sphere, is further im-proved. Chapter 5 addresses empirical risk minimization for binary classification of extreme samples. The resulting non-parametric analysis and guarantees are detailed. The approach is particularly well suited to treat new samples falling out of the convex envelop of encountered data. This extrapolation property is key to designing new embeddings achieving label preserving data augmentation. Chapter 6 focuses on the challenge of learning the latter heavy-tailed (and to be precise regularly varying) representation from a given input distribution. Empirical results show that the designed representation allows better classification performanceon extremes and leads to the generation of coherent sentences. Lastly, Chapter7 analyses the dependence structure of multivariate extremes. By noticing that extremes tend to concentrate on particular clusters where features tend to be recurrently large simulatenously, we define an optimization problem that identifies the aformentioned subgroups through weighted means of features
Scaggs, Anne Marie. "Student Perspectives on Application of Theory to Practice in Field Practicums." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/6112.
Повний текст джерелаKazemian, Hassan Bajgiran. "Study of MIMO learning fuzzy controllers for dynamic application." Thesis, Queen Mary, University of London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286348.
Повний текст джерелаJurvelin, Olsson Mikael. "MULTI-AGENT REINFORCEMENT LEARNING WITH APPLICATION ON TRAFFIC FLOW CONTROL." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447308.
Повний текст джерелаIzquierdo, Luis R. "Advancing learning and evolutionary game theory with an application to social dilemmas." Thesis, Manchester Metropolitan University, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.444030.
Повний текст джерелаDeGennaro, Alfred Joseph. "Application of Multiple Intelligence Theory to an e-Learning Technology Acceptance Model." Cleveland State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=csu1273053153.
Повний текст джерелаDeniz, Juan C. (Deniz Carlos) 1976. "Learning theory applications to product design modeling." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/89269.
Повний текст джерелаLi, Xiao. "Regularized adaptation : theory, algorithms, and applications /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/5928.
Повний текст джерелаChu, Chi-keung. "The study of the application of social learning theory in parent management training." [Hong Kong] : University of Hong Kong, 1988. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12505195.
Повний текст джерелаMarriot, Shaun. "The application of adaptive resonance theory and reinforcement learning to mapping and control." Thesis, University of Sheffield, 1996. http://etheses.whiterose.ac.uk/5974/.
Повний текст джерела朱志強 and Chi-keung Chu. "The study of the application of social learning theory in parent management training." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1988. http://hub.hku.hk/bib/B31975318.
Повний текст джерелаStead, Valerie S. "Influences on individuals' application of learning : a grounded theory study and its evaluation." Thesis, Lancaster University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389942.
Повний текст джерелаMo, Chunhui Fraser Scott E. "Synaptic learning rules for local synaptic interactions : theory and application to direction selectivity /." Diss., Pasadena, Calif. : California Institute of Technology, 2003. http://resolver.caltech.edu/CaltechETD:etd-05222003-170638.
Повний текст джерелаStatler, Judy K. "Learning theory and its application to at-risk programs for elementary school children /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3074444.
Повний текст джерелаZimmermann, Tom. "Inductive Learning and Theory Testing: Applications in Finance." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17467320.
Повний текст джерелаEconomics
Anastasiou, Maria S. "Beginning Female Therapists' Experiences of Applying Theory into Their Practice." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/31771.
Повний текст джерелаMaster of Science
Chen, Shu-Fen, and res cand@acu edu au. "Cooperative Learning, Multiple Intelligences and Proficiency: application in college English language teaching and learning." Australian Catholic University. Faculty of Education, 2005. http://dlibrary.acu.edu.au/digitaltheses/public/adt-acuvp120.25102006.
Повний текст джерелаGleason, James P. "THE IMPACT OF INTERACTIVE FUNCTIONALITY ON LEARNING OUTCOMES: AN APPLICATION OF OUTCOME INTERACTIVITY THEORY." Lexington, Ky. : [University of Kentucky Libraries], 2009. http://hdl.handle.net/10225/1165.
Повний текст джерелаTitle from document title page (viewed on May 24, 2010). Document formatted into pages; contains: xix, 225 p. : ill. (some col.). Includes abstract and vita. Includes bibliographical references (p. 217-222).
Lyn, André T. "Training end-users, the application of cognitive theory to learning a database software package." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0035/MQ27039.pdf.
Повний текст джерелаMa, Xiaoxu. "Learning coupled conditional random field for image decomposition : theory and application in object categorization." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44719.
Повний текст джерелаIncludes bibliographical references (p. 171-180).
The goal of this thesis is to build a computational system that is able to identify object categories within images. To this end, this thesis proposes a computational model of "recognition-through-decomposition-and-fusion" based on the psychophysical theories of information dissociation and integration in human visual perception. At the lowest level, contour and texture processes are defined and measured. In the mid-level, a novel coupled Conditional Random Field model is proposed to model and decompose the contour and texture processes in natural images. Various matching schemes are introduced to match the decomposed contour and texture channels in a dissociative manner. As a counterpart to the integrative process in the human visual system, adaptive combination is applied to fuse the perception in the decomposed contour and texture channels. The proposed coupled Conditional Random Field model is shown to be an important extension of popular single-layer Random Field models for modeling image processes, by dedicating a separate layer of random field grid to each individual image process and capturing the distinct properties of multiple visual processes. The decomposition enables the system to fully leverage each decomposed visual stimulus to its full potential in discriminating different object classes. Adaptive combination of multiple visual cues well mirrors the fact that different visual cues play different roles in distinguishing various object classes. Experimental results demonstrate that the proposed computational model of "recognition-through-decomposition-and-fusion" achieves better performance than most of the state-of-the-art methods in recognizing the objects in Caltech-101, especially when only a limited number of training samples are available, which conforms with the capability of learning to recognize a class of objects from a few sample images in the human visual system.
by Xiaoxu Ma.
Ph.D.
Lyn, Andre T. (Andre Tyrone) Carleton University Dissertation Management Studies. "Training end-users: The application of cognitive theory to learning a database software package." Ottawa, 1997.
Знайти повний текст джерелаLu, Yibiao. "Statistical methods with application to machine learning and artificial intelligence." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44730.
Повний текст джерелаAhmadibasir, Mohammad. "The application of language-game theory to the analysis of science learning: developing an interpretive classroom-level learning framework." Diss., University of Iowa, 2011. https://ir.uiowa.edu/etd/1195.
Повний текст джерелаHutchin, Charles E. "The application of the Theory of Constraints Thinking Process to manufacturing managers in implementing change." Thesis, Cranfield University, 1999. http://dspace.lib.cranfield.ac.uk/handle/1826/4690.
Повний текст джерелаLorenz, Nicole. "Application of the Duality Theory." Doctoral thesis, Universitätsbibliothek Chemnitz, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-94108.
Повний текст джерелаHill, S. "Applications of statistical learning theory to signal processing problems." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604048.
Повний текст джерелаBouvrie, Jacob V. "Hierarchical learning : theory with applications in speech and vision." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54227.
Повний текст джерелаThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 123-132).
Over the past two decades several hierarchical learning models have been developed and applied to a diverse range of practical tasks with much success. Little is known, however, as to why such models work as well as they do. Indeed, most are difficult to analyze, and cannot be easily characterized using the established tools from statistical learning theory. In this thesis, we study hierarchical learning architectures from two complementary perspectives: one theoretical and the other empirical. The theoretical component of the thesis centers on a mathematical framework describing a general family of hierarchical learning architectures. The primary object of interest is a recursively defined feature map, and its associated kernel. The class of models we consider exploit the fact that data in a wide variety of problems satisfy a decomposability property. Paralleling the primate visual cortex, hierarchies are assembled from alternating filtering and pooling stages that build progressively invariant representations which are simultaneously selective for increasingly complex stimuli. A goal of central importance in the study of hierarchical architectures and the cortex alike, is that of understanding quantitatively the tradeoff between invariance and selectivity, and how invariance and selectivity contribute towards providing an improved representation useful for learning from data. A reasonable expectation is that an unsupervised hierarchical representation will positively impact the sample complexity of a corresponding supervised learning task.
(cont.) We therefore analyze invariance and discrimination properties that emerge in particular instances of layered models described within our framework. A group-theoretic analysis leads to a concise set of conditions which must be met to establish invariance, as well as a constructive prescription for meeting those conditions. An information-theoretic analysis is then undertaken and seen as a means by which to characterize a model's discrimination properties. The empirical component of the thesis experimentally evaluates key assumptions built into the mathematical framework. In the case of images, we present simulations which support the hypothesis that layered architectures can reduce the sample complexity of a non-trivial learning problem. In the domain of speech, we describe a 3 localized analysis technique that leads to a noise-robust representation. The resulting biologically-motivated features are found to outperform traditional methods on a standard phonetic classification task in both clean and noisy conditions.
by Jacob V. Bouvrie.
Ph.D.
Huang, Xin. "A study on the application of machine learning algorithms in stochastic optimal control." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252541.
Повний текст джерелаGenom att observera en likhet mellan målet för stokastisk optimal styrning för att minimera en förväntad kostnadsfunktionell och syftet med maskininlärning att minimera en förväntad förlustfunktion etableras och implementeras en metod för att applicera maskininlärningsalgoritmen för att approximera den optimala kontrollfunktionen via neuralt approximation. Baserat på en diskretiseringsram, härleds en rekursiv formel för gradienten av den approximerade kostnadsfunktionen på parametrarna för neuralt nätverk. För ett välkänt linjärt-kvadratisk-gaussiskt kontrollproblem lyckas den approximerade neurala nätverksfunktionen erhållen med stokastisk gradient nedstigningsalgoritm att reproducera till formen av den teoretiska optimala styrfunktionen och tillämpning av olika typer av algoritmer för maskininlärning optimering ger en ganska nära noggrannhet med avseende på deras motsvarande empiriska värdefunktion. Vidare är det visat att noggrannheten och stabiliteten hos maskininlärning simetrationen kan förbättras genom att öka storleken på minibatch och tillämpa ett finare diskretiseringsschema. Dessa resultat tyder på effektiviteten och lämpligheten av att tillämpa maskininlärningsalgoritmen för stokastisk optimal styrning.
Brown, TeAirra Monique. "Playing to Win: Applying Cognitive Theory and Gamification to Augmented Reality for Enhanced Mathematical Outcomes in Underrepresented Student Populations." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/97340.
Повний текст джерелаPHD
Lai, Kai Hong. "Transformative process in organizational learning, theory, skills and application of a four-phase mediation model." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ62023.pdf.
Повний текст джерелаClore, Christine W. "Social skills use of adolescents with learning disabilities: An application of Bandura's theory of reciprocal interaction." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5291/.
Повний текст джерелаParisi, Aaron Thomas. "An Application of Sliding Mode Control to Model-Based Reinforcement Learning." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2054.
Повний текст джерелаBrown, Stephen F. (Stephen Francis). "The Use of Learning Theory in the Application of Artificial Intelligence to Computer-Assisted Instruction of Physics." Thesis, North Texas State University, 1985. https://digital.library.unt.edu/ark:/67531/metadc330775/.
Повний текст джерелаSėrikovienė, Silvija. "Research on application of learning objects reusability and quality evaluation methods." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130220_160734-35867.
Повний текст джерелаKokybiška mokomoji medžiaga yra viena svarbiausių mokymo(-si) kokybės veiksnių, todėl mokomųjų objektų (toliau – MO) daugkartinio panaudojamumo kokybės vertinimas yra viena opiausių švietimo problemų. Problema yra aktuali visiems švietimo dalyviams – švietimo įstaigoms (pvz., mokykloms), kurios turi išrinkti kokybišką mokomąją medžiagą (MO) savo tikslams pasiekti, švietimo politikams, kuriems reikia aiškių kokybės kriterijų vykdant MO viešuosius pirkimus, mokomosios medžiagos autoriams (pvz., leidykloms), kurie turi žinoti kokybės reikalavimus, remdamiesi kuriais jie kurs MO, ir pan. Disertacinis darbas skirtas pasiūlyti ir išbandyti MO daugkartinio panaudojamumo kokybės vertinimo metodiką: kokybės modelį ir paprastus bei efektyvius ekspertinio kokybės vertinimo metodus (t.y., pagerinti edukologinių uždavinių sprendimo galimybes naudojant informatikos inžinerijos metodus). Tam analizuojamos MO daugkartinio panaudojamumo ir ekspertinio kokybės vertinimo sąvokos, kokybės modelio sudarymo principai, galimi paprasti ir efektyvūs kokybės ekspertinio vertinimo metodai. Darbe yra pateiktas sukurtas mokomųjų objektų daugkartinio panaudojamumo kokybės modelis ir vertinimo metodas. Mokomųjų objektų kokybės modelį sudaro devyni trijų grupių (technologiniai, pedagoginiai, intelektinių teisių) kokybės kriterijai, kurie atspindi visapusišką kokybės kriterijų sistemą, kurioje yra svarbūs ne tik patys kriterijai, bet ir jų tarpusavio sąryšiai. Mokomųjų objektų daugkartinio panaudojamumo... [toliau žr. visą tekstą]
Griffiths, Kerryn Eva. "Discovering, applying and integrating self-knowledge : a grounded theory study of learning in life coaching." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/37245/1/Kerryn_Griffiths_Thesis.pdf.
Повний текст джерелаMyers, James William. "Stochastic algorithms for learning with incomplete data an application to Bayesian networks /." Full text available online (restricted access), 1999. http://images.lib.monash.edu.au/ts/theses/Myers.pdf.
Повний текст джерелаKusuma, Mutiara Tirta Prabandari Lintang. "Strengthening the competence of dietetics students on providing nutrition care for HIV patients: application of attribution theory." Diss., Kansas State University, 2017. http://hdl.handle.net/2097/36227.
Повний текст джерелаDepartment of Food, Nutrition, Dietetics, and Health
Tandalayo Kidd
HIV and nutrition status are interrelated. Nutrition problems associated with HIV or its treatment occur in nearly all people living with HIV (PLHIV) and can be indicative of the stage and progression of infection. On the other hand, adequate nutrition ensures good nutrition status, immune function, improved treatment outcome, and quality of life. The growing problems of HIV and AIDS in Indonesia require health professionals, including dietitians, to mobilize for HIV care and control. However, studies have demonstrated health care workers to have prejudicial attitudes towards PLHIV, which may further jeopardize the quality of care. The objective of this study was to implement the attribution theory to improve HIV-related knowledge and attitudes among dietetics students. It is hypothesized that given the opportunity to revisit the antecedent of their stigma, dietetic students might be able to improve their attitudes and emotional reactions to HIV. Results from the cross-sectional study confirmed the attribution theory, showing that the stigmatizing attitudes were influenced by both personal values and environmental factors. The study also found that greater knowledge about HIV was associated with a better attitude toward PLHIV. This and the fact that universities differed in how they educated dietetic students about HIV, raise questions on the current dietetic curriculum in Indonesia and the teaching conduct in each dietetic school. These notions were studied in the second study, using a qualitative approach to inquire lecturers and school administrators. Four major themes emerged from the analysis confirming that HIV discourse in dietetic schools in Indonesia is very limited since it is not mandatory in the curriculum, lecturers are reluctant to talk about HIV, and there is apparent restriction to work with the key population. The way the lecturers attribute HIV with blames of personal responsibility and fear of contagion, heavily influence their teaching conduct. The intervention model with transformative learning supported the hypothesis that given the opportunity to reflect and re-question their judgment, students were able to improve their knowledge and reduce their stigmatizing attitudes. Overall, these studies give a warning to policy makers in health and education sectors as well as the school administrators that dietetics students have negative attitudes towards PLHIV and this stigma is associated with lack of knowledge about HIV, hence the need to improve response from both sectors. This study also serves as a strong call to provide more opportunities to students to learn about HIV and to reach out to the patients and key population to instill better understanding and acceptance to HIV.
Pappone, Francesco. "Graph neural networks: theory and applications." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23893/.
Повний текст джерелаOstrow, Korinn S. "A Foundation For Educational Research at Scale: Evolution and Application." Digital WPI, 2018. https://digitalcommons.wpi.edu/etd-dissertations/163.
Повний текст джерелаGardiner, Penelope Ann. "The application of learning organisation theory to the management of change : with reference to the engineering sector." Thesis, University of Plymouth, 1998. http://hdl.handle.net/10026.1/2639.
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