Relevant bibliographies by topics / Theory-based learning

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Theory-based learning'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Theory-based learning"

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Hassan, M. H., and P. Siy. "Thresholding based on learning theory." Proceedings of the IEEE 76, no. 10 (October 1988): 1379–81. http://dx.doi.org/10.1109/5.16337.

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McGaghie, William C., and Ilene B. Harris. "Learning Theory Foundations of Simulation-Based Mastery Learning." Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare 13 (June 2018): S15—S20. http://dx.doi.org/10.1097/sih.0000000000000279.

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David, T. J., and L. Patel. "Adult learning theory, problem based learning, and paediatrics." Archives of Disease in Childhood 73, no. 4 (October 1, 1995): 357–63. http://dx.doi.org/10.1136/adc.73.4.357.

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Hanneke, Steve. "Theory of Disagreement-Based Active Learning." Foundations and Trends® in Machine Learning 7, no. 2-3 (2014): 131–309. http://dx.doi.org/10.1561/2200000037.

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Neale, Deb. "Theory-based learning lacking in relevance." Nursing Standard 17, no. 26 (March 12, 2003): 31. http://dx.doi.org/10.7748/ns.17.26.31.s49.

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Lin, Jyh-Han, and Jeffrey Scott Vitter. "A theory for memory-based learning." Machine Learning 17, no. 2-3 (1994): 143–67. http://dx.doi.org/10.1007/bf00993469.

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Boyd, Evelyn, Hazel Knox, and John Struthers. "Work-Based Learning, Theory and Practice." Industry and Higher Education 17, no. 3 (June 2003): 163–78. http://dx.doi.org/10.5367/000000003101296828.

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This paper begins with a discussion and analysis of the relevance of work-based learning to contemporary education and training needs. It then briefly outlines changes in attitudes and approaches to higher education and training in the UK over the past few decades and highlights the new ‘learning partnership model’ (LPM) as one that offers great potential for the effective development of a wide range of skills. In this context, the authors present a detailed analytical case study of a European-funded Adapt-University for Industry project that sought to identify training needs and to provide gu
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Hsu, Wei Chih, and Cheng Hsiu Li. "An Adaptively-Guiding Web-Based E-Learning System Based on Competency-Based Learning Theory." Applied Mechanics and Materials 284-287 (January 2013): 3305–9. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3305.

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Competency-based Learning Theory (CBLT) emphasizes that learners are protagonists in the entire learning process. In order to achieve the predictive learning targets of learners, CBLT make much of the individual differences between learners, and use the personal adaptive learning route in the CBLT procedure with evaluation, feedback, and modification. This paper used CBLT to be a foundation of system design, and to apply the CBLT procedure to guide learners to study adaptively. Our system implemented from CBLT can provide a personal adaptive learning route to learners, and has the adaptively-g
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Chaikeawmay, Phakwipa, Assoc Prof Ratana Na Lamphun, and Dr Ken Kemp. "LEARNING CHINESE IN EARLY CHILDHOOD BASED ON CONSTRUCTIVISM LEARNING THEORY ." International Journal of Social Science and Economic Research 6, no. 7 (July 30, 2021): 2374–89. http://dx.doi.org/10.46609/ijsser.2021.v06i07.022.

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Rasouli, Sahar, and Mahboobeh Namnabati. "Nurses' learning of Infants' venipuncture based on Kolb's learning theory." Journal of Neonatal Nursing 25, no. 5 (October 2019): 245–48. http://dx.doi.org/10.1016/j.jnn.2019.04.002.

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Dissertations / Theses on the topic "Theory-based learning"

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Tsividis, Pedro A. "Theory-based learning in humans and machines." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121813.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 123-130).<br>Humans are remarkable in their ability to rapidly learn complex tasks from little experience. Recent successes in Al have produced algorithms that can perform complex tasks well in environments whose simple dynamics are known in advance, as well as models that can learn to perform expertly in unknown environments after a great amount of experience. Despite this, no current AI models are able t
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Pennington, Eva Patrice. "Brain-based learning theory the incorporation of movement to increase learning /." Lynchburg, Va. : Liberty University, 2010. http://digitalcommons.liberty.edu.

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Eftekhari, Zahra. "Preana: Game-theory Based Prediction with Reinforcement Learning." OpenSIUC, 2014. https://opensiuc.lib.siu.edu/theses/1552.

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We have developed a game-theory based prediction tool, named Preana, based on a promising model developed by Professor Bruce Beuno de Mesquita. The first part of this work is dedicated to exploration of the specifics of Mesquita's algorithm and reproduction of the factors and features that have not been revealed in literature. In addition, we have developed a learning mechanism to model the players' reasoning ability when it comes to taking risks. Preana can predict the outcome of any issue with multiple stake-holders who have conflicting interests in economic, business, and political sciences
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Laflamme, Denise Marie. "The brain-based theory of learning and multimedia." CSUSB ScholarWorks, 1994. https://scholarworks.lib.csusb.edu/etd-project/1002.

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For this project the brain-based theory of learning, an eclectic theory that incorporates the cognitive and humanistic views was researched. Multimedia, a technology which supports the principles of brain-based learning, was then selected as the vehicle to present historical materials to students.
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Polistina, Kim Joanne. "Outdoor Learning: A Theory of Community-Based Pro-Environmental Learning Through Leisure." Thesis, Griffith University, 2005. http://hdl.handle.net/10072/366542.

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The purpose of this thesis was to develop a theory of outdoor learning grounded in the everyday lives of community-based groups and individuals in Australian Western society. The groups involved in this research where from appreciative outdoor leisure and Indigenous communities in Queensland, Australia. These community-based groups engaged with environmental learning and education through non-formal or informal means of sharing pro-environmental knowledge and values. The theory discussed in this thesis was grounded in the outdoor lifestyles of the people involved in this research and exami
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Tompkins, Abreena Walker. "Brain-based learning theory an online course design model /." Lynchburg, Va. : Liberty University, 2007. http://digitalcommons.liberty.edu.

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El-Banna, H. A. A. M. "The development of a predictive theory of science education based upon information processing theory." Thesis, University of Glasgow, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382005.

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Diao, Zhuo, and Yuan Gao. "The feasibility of computer games in learning theory based subjects." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17480.

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In the era of rapid development of science and technology wherethere has been an extensive development of computer games,The scope of this thesis is discussing the research on a computergame called “Treasure Hunt“, and it will establish whether acomputer game is helpful and has any advantage in learning asopposed to other traditional teaching methods. The aim of thisdocument is to let players interested in the history of Chinesecurrency learn more about it, and also to check the memory ofthe players through the real results of the survey we haveconducted. The thesis is also describing how to a
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Cheng, Jie. "Learning Bayesian networks from data : an information theory based approach." Thesis, University of Ulster, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243621.

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Boyce, Eleanor. "An interactive web-based learning system to teach music theory composition /." Leeds : University of Leeds, School of Computer Studies, 2003. http://www.leeds.ac.uk/cgi-bin/library/compst.pl?CAT=BSC&FILE=200304/boyce.pdf.

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Books on the topic "Theory-based learning"

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1943-, O'Neil Harold F., and Perez Ray S, eds. Web-based learning: Theory, research, and practice. Mahwah, NJ: Lawrence Erlbaum Associates, 2006.

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Brain-based early learning activities: Connecting theory and practice. St. Paul, MN: Redleaf Press, 2010.

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Darling-Kuria, Nikki. Brain-based early learning activities: Connecting theory and practice. St. Paul, MN: Redleaf Press, 2010.

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Cheng, J. Learning Bayesian newtworks from data: An information theory based approach. [s.l: The Author], 1998.

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W, Gijselaers, ed. Bringing problem-based learning to higher education: Theory and practice. San Francisco: Jossey-Bass, 1996.

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Guoying, Zhao, Cheng Li, Pietikäinen Matti, and SpringerLink (Online service), eds. Machine Learning for Vision-Based Motion Analysis: Theory and Techniques. London: Springer-Verlag London Limited, 2011.

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Extending explanation-based learning by generalizing the structure of explanations. London: Pitman, 1990.

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Anne, McKeough, and Lupart Judy Lee, eds. Toward the practice of theory-based instruction: Current cognitive theories and their educational promise. Hillsdale, N.J: L. Erlbaum Associates, 1991.

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Bender, Tisha. Discussion-based online teaching to enhance student learning: Theory, practice, and assessment. Sterling, Va: Stylys, 2012.

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Discussion-based online teaching to enhance student learning: Theory, practice, and assessment. Sterling, Va: Stylys, 2012.

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Book chapters on the topic "Theory-based learning"

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Borgelt, Christian, and Rudolf Kruse. "Local Structure Learning in Graphical Models." In Planning Based on Decision Theory, 99–118. Vienna: Springer Vienna, 2003. http://dx.doi.org/10.1007/978-3-7091-2530-4_7.

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Zhang, Liming, Ngaihong Chan, and Yilin Chu. "Cognitive Load Theory Based Effectiveness Evaluation on Dynamic Math Teaching." In Hybrid Learning, 427–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14657-2_39.

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Hu, Chao, Dazhuan Xu, Deng Pan, and Boyu Hua. "Radar Target Detection Based on Information Theory." In Machine Learning and Intelligent Communications, 320–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66785-6_35.

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Wang, Li-Fang, and Jian-Chao Zeng. "Estimation of Distribution Algorithm Based on Copula Theory." In Evolutionary Learning and Optimization, 139–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12834-9_7.

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Adamson, Fiona, and Jane Brendgen. "Mindfulness-based adult transformational learning in theory." In Mindfulness-Based Relational Supervision, 6–25. London: Routledge, 2021. http://dx.doi.org/10.4324/9781315161280-2.

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Orbolato, Rafael G., Vânia P. de Almeida, and Júnia C. A. Silva. "An editing tool based on cognitivism theory to support distance learning." In TelE-Learning, 309–12. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35615-0_43.

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Chee, Yam San. "Theory of Game-Based Learning as Performance." In Games-To-Teach or Games-To-Learn, 43–62. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-518-1_3.

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Aldrich, Chris, and Lidia Auret. "Statistical Learning Theory and Kernel-Based Methods." In Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods, 117–81. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5185-2_4.

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Shoorangiz, Reza, Stephen J. Weddell, and Richard D. Jones. "EEG-Based Machine Learning: Theory and Applications." In Handbook of Neuroengineering, 1–39. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-2848-4_70-1.

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Shoorangiz, Reza, Stephen J. Weddell, and Richard D. Jones. "EEG-Based Machine Learning: Theory and Applications." In Handbook of Neuroengineering, 2463–501. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-16-5540-1_70.

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Conference papers on the topic "Theory-based learning"

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Lin, Zhongjie, and Hugh H. T. Liu. "Consensus based on learning game theory." In 2014 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC). IEEE, 2014. http://dx.doi.org/10.1109/cgncc.2014.7007464.

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Raine, Derek, and Sarah Symons. "Electromagnetic theory by problem-based learning." In OPTO-Ireland, edited by Brian W. Bowe, Gerald Byrne, Aidan J. Flanagan, Thomas J. Glynn, Jonathan Magee, Gerard M. O'Connor, Ronan F. O'Dowd, Gerard D. O'Sullivan, and John T. Sheridan. SPIE, 2005. http://dx.doi.org/10.1117/12.605962.

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Lin, Jyh-Han, and Jeffrey Scott Vitter. "A theory for memory-based learning." In the fifth annual workshop. New York, New York, USA: ACM Press, 1992. http://dx.doi.org/10.1145/130385.130397.

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Nguyen, Vu Thanh, and Nguyen Thi Ly Sa. "Evaluating technologies based rough set theory." In 2010 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2010. http://dx.doi.org/10.1109/icmlc.2010.5580523.

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"PROBLEM-BASED LEARNING - A Graph Theory Experience." In 2nd International Conference on Computer Supported Education. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002768700790083.

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Tsukamoto, Hiroyasu, Soon-Jo Chung, and Jean-Jacques Slotine. "Learning-based Adaptive Control using Contraction Theory." In 2021 60th IEEE Conference on Decision and Control (CDC). IEEE, 2021. http://dx.doi.org/10.1109/cdc45484.2021.9683435.

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Ming-Chun Wang, Zheng-Ou Wang, Ming Zhang, and Peng Yan. "Decision rule extraction method based on rough set theory and fuzzy set theory." In Proceedings of 2005 International Conference on Machine Learning and Cybernetics. IEEE, 2005. http://dx.doi.org/10.1109/icmlc.2005.1527312.

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Horiuchi, Motoki, and Masaya Nakata. "Self-adaptation of XCS learning parameters based on learning theory." In GECCO '20: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3377930.3389814.

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Liu, Gang, and Xue-Qin Lu. "Pixel-Level image Fusion Based on Fuzzy Theory." In 2007 International Conference on Machine Learning and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icmlc.2007.4370384.

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Downton, J., O. Collet, and T. Colwell. "Theory-guided data science-based for Reservoir Characterization." In First EAGE Conference on Machine Learning in Americas. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202084013.

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Reports on the topic "Theory-based learning"

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Kiianovska, N. M. The development of theory and methods of using cloud-based information and communication technologies in teaching mathematics of engineering students in the United States. Видавничий центр ДВНЗ «Криворізький національний університет», December 2014. http://dx.doi.org/10.31812/0564/1094.

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The purpose of the study is the analysis of the development of the theory and methods of ICT usage while teaching higher mathematics engineering students in the United States. It was determined following tasks: to analyze the problem source, to identify the state of its elaboration, to identify key trends in the development of theory and methods of ICT usage while teaching higher mathematics engineering students in the United States, the object of study – the use of ICT in teaching engineering students, the research methods are: analysis of scientific, educational, technical, historical source
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Lalisse, Matthias. Measuring the Impact of Campaign Finance on Congressional Voting: A Machine Learning Approach. Institute for New Economic Thinking Working Paper Series, February 2022. http://dx.doi.org/10.36687/inetwp178.

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How much does money drive legislative outcomes in the United States? In this article, we use aggregated campaign finance data as well as a Transformer based text embedding model to predict roll call votes for legislation in the US Congress with more than 90% accuracy. In a series of model comparisons in which the input feature sets are varied, we investigate the extent to which campaign finance is predictive of voting behavior in comparison with variables like partisan affiliation. We find that the financial interests backing a legislator’s campaigns are independently predictive in both chambe
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Mahat, Marian, and Vivienne Awad. The 2022 Sophia Program. University of Melbourne, February 2023. http://dx.doi.org/10.46580/124373.

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The Sophia Program is a one year professional learning program established by Sydney Catholic Schools in collaboration with the University of Melbourne. The professional learning program is unique, in that it not only involves the acquisition of knowledge and theory of school learning environments but also action-oriented evidence-based research within a professional learning community where groups of educators work collaboratively at the school- and system-level to improve student outcomes. Thirty five participants from six Sydney Catholic Schools participated in the 2022 program. This report
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Apgar, Marina, Mieke Snijder, Pedro Prieto Martin, Giel Ton, Shona Macleod, Shanta Kakri, and Sukanta Paul. Designing Contribution Analysis of Participatory Programming to Tackle the Worst Forms of Child Labour. Institute of Development Studies, August 2022. http://dx.doi.org/10.19088/clarissa.2022.003.

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This Research and Evidence Paper presents the theory-based and participatory evaluation design of the Child Labour: Action-Research- Innovation in South and South-Eastern Asia (CLARISSA) programme. The evaluation is embedded in emergent Participatory Action Research with children and other stakeholders to address the drivers of the worst forms of child labour (WFCL). The report describes the use of contribution analysis as an overarching approach, with its emphasis on crafting, nesting and iteratively reflecting on causal theories of change. It illustrates how hierarchically-nested impact path
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Semerikov, Serhiy, Viacheslav Osadchyi, and Olena Kuzminska. Proceedings of the 1st Symposium on Advances in Educational Technology - Volume 2: AET. SciTePress, 2022. http://dx.doi.org/10.31812/123456789/7011.

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Symposium on Advances in Educational Technology (AET) is a peer-reviewed international conference focusing on research advances and applications of combined use of computer hardware, software, and educational theory and practice to facilitate learning. Today, AET is the premier interdisciplinary forum for learning scientists, academicians, researchers, professionals, policymakers, postgraduate students, and practitioners to present their latest research results, ideas, developments, and applications. AET topics of interest are: • Artificial intelligence in education • Augmented reality in educ
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Dinges, Michael, Christiane Kerlen, Peter Kaufmann, Anna Wang, Kathleen Toepel, Jakob Kofler, Stefan Meyer, and Harald Wieser. Theories of change for transformation-oriented R&I polices: the case of the 7th Energy Research Programme in Germany. Fteval - Austrian Platform for Research and Technology Policy Evaluation, April 2022. http://dx.doi.org/10.22163/fteval.2022.542.

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This article investigates how Theories of Change for transformation-oriented R&amp;I programmes can be designed to better grasp system transformation processes and thereby set the basis for a deeper understanding of transformative impact mechanisms and programme learning. The analysis is based within the realm of the energy system, which is an area of specific concern for socio-technical transformation. It focuses on the “7th Energy Research Programme” (EFP) of the German Federal Ministry of Economic Affairs and Climate Action, which is the key R&amp;I policy instrument contributing to the tra
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Modlo, Yevhenii O., Serhiy O. Semerikov, Ruslan P. Shajda, Stanislav T. Tolmachev, and Oksana M. Markova. Methods of using mobile Internet devices in the formation of the general professional component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3878.

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The article describes the components of methods of using mobile Internet devices in the formation of the general professional component of bachelor in electromechanics competency in modeling of technical objects: using various methods of representing models; solving professional problems using ICT; competence in electric machines and critical thinking. On the content of learning academic disciplines “Higher mathematics”, “Automatic control theory”, “Modeling of electromechanical systems”, “Electrical machines” features of use are disclosed for Scilab, SageCell, Google Sheets, Xcos on Cloud in
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Burnett, Cathy. Scoping the field of literacy research: how might a range of research be valuable to primary teachers? Sheffield Hallam University, 2022. http://dx.doi.org/10.7190/shu-working-papers/2201.

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Literacy research has an important role to play in helping to shape educational policy and practice. The field of literacy research however is difficult to navigate as literacy has been understood and researched in many different ways. It encompasses work from psychology, sociology, philosophy and neuroscience, literary theory, media and literacy studies, and methodologies include a range of qualitative, quantitative and mixed methods approaches. In mapping this complex field, I draw on a systematic ‘scoping survey’ of a sample of peerreviewed articles featuring literacy research relevant to l
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