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Journal articles on the topic 'Theory-based learning'

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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10

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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11

Dutt, V., and C. Gonzalez. "Making Instance-based Learning Theory Usable, Transparent, and Understandable: Instance-based Learning Tool." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 55, no. 1 (September 1, 2011): 1813–17. http://dx.doi.org/10.1177/1071181311551377.

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12

Dutt, Varun, and Cleotilde Gonzalez. "Making Instance-based Learning Theory usable and understandable: The Instance-based Learning Tool." Computers in Human Behavior 28, no. 4 (July 2012): 1227–40. http://dx.doi.org/10.1016/j.chb.2012.02.006.

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13

Pouncy, Thomas, and Samuel J. Gershman. "Inductive biases in theory-based reinforcement learning." Cognitive Psychology 138 (November 2022): 101509. http://dx.doi.org/10.1016/j.cogpsych.2022.101509.

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14

Shui-Li, Zhang, Dong Jun-Tang, and Gao Ying. "FSRM Feedback Algorithm based on Learning Theory." Open Cybernetics & Systemics Journal 9, no. 1 (June 26, 2015): 699–703. http://dx.doi.org/10.2174/1874110x01509010699.

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15

DeCaporale-Ryan, Lauren N., Rita Dadiz, and Sarah E. Peyre. "Simulation-based learning: From theory to practice." Families, Systems, & Health 34, no. 2 (June 2016): 159–62. http://dx.doi.org/10.1037/fsh0000203.

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16

Bontchev, Boyan, Dessislava Vassileva, Adelina Aleksieva-Petrova, and Milen Petrov. "Playing styles based on experiential learning theory." Computers in Human Behavior 85 (August 2018): 319–28. http://dx.doi.org/10.1016/j.chb.2018.04.009.

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17

Halliday, M. A. K. "Towards a language-based theory of learning." Linguistics and Education 5, no. 2 (January 1993): 93–116. http://dx.doi.org/10.1016/0898-5898(93)90026-7.

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18

Wells, Gordon. "Toward a Language-Based Theory of Learning." Contemporary Psychology: A Journal of Reviews 36, no. 8 (August 1991): 691–92. http://dx.doi.org/10.1037/030051.

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19

Etzioni, Oren. "A structural theory of explanation-based learning." Artificial Intelligence 60, no. 1 (March 1993): 93–139. http://dx.doi.org/10.1016/0004-3702(93)90035-a.

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20

Affeldt, Fabrício Sobrosa, and Fábio Ferraz Fernandez. "Problem-Based Learning: A Teaching and Learning Model for Organization Theory." Revista Ibero-Americana de Estudos em Educação 13, esp1 (April 30, 2018): 436–50. http://dx.doi.org/10.21723/riaee.nesp1.v13.2018.11437.

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21

Ertuğrul, Ömer Faruk, and Mehmet Emin Tağluk. "A novel machine learning method based on generalized behavioral learning theory." Neural Computing and Applications 28, no. 12 (April 9, 2016): 3921–39. http://dx.doi.org/10.1007/s00521-016-2314-8.

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22

Robertson, Margaret. "Task-Based Language Teaching and Expansive Learning Theory." TESL Canada Journal 31 (January 21, 2015): 187. http://dx.doi.org/10.18806/tesl.v31i0.1194.

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Task-Based Language Teaching (TBLT) has become increasingly recognized as an effective pedagogy, but its location in generalized sociocultural theories of learning has led to misunderstandings and criticism. The purpose of this article is to explain the congruence between TBLT and Expansive Learning Theory and the benefits of doing so. The merit of locating TBLT in Expansive Learning Theory is that it provides concrete explanations for how cycles of meaning making and negotiation can be worked into task phases. It provides an elaboration of the cyclical learning processes that may be embedded
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23

Eftekhari, Zahra, and Shahram Rahimi. "Preana: Game Theory Based Prediction with Reinforcement Learning." Natural Science 06, no. 13 (2014): 1108–21. http://dx.doi.org/10.4236/ns.2014.613099.

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24

SUGENO, Michio, and Gyei-kark PARK. "Learning Based on Linguistic Instructions Using Fuzzy Theory." Journal of Japan Society for Fuzzy Theory and Systems 4, no. 6 (1992): 1164–81. http://dx.doi.org/10.3156/jfuzzy.4.6_158.

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25

Ben-Bouazza, Fatima-Ezzahraa, Younès Bennani, Guénaël Cabanes, and Abdelfettah Touzani. "Unsupervised collaborative learning based on Optimal Transport theory." Journal of Intelligent Systems 30, no. 1 (January 1, 2021): 698–719. http://dx.doi.org/10.1515/jisys-2020-0068.

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Abstract Collaborative learning has recently achieved very significant results. It still suffers, however, from several issues, including the type of information that needs to be exchanged, the criteria for stopping and how to choose the right collaborators. We aim in this paper to improve the quality of the collaboration and to resolve these issues via a novel approach inspired by Optimal Transport theory. More specifically, the objective function for the exchange of information is based on the Wasserstein distance, with a bidirectional transport of information between collaborators. This for
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26

Du, Xin, Katayoun Farrahi, and Mahesan Niranjan. "Information Bottleneck Theory Based Exploration of Cascade Learning." Entropy 23, no. 10 (October 18, 2021): 1360. http://dx.doi.org/10.3390/e23101360.

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In solving challenging pattern recognition problems, deep neural networks have shown excellent performance by forming powerful mappings between inputs and targets, learning representations (features) and making subsequent predictions. A recent tool to help understand how representations are formed is based on observing the dynamics of learning on an information plane using mutual information, linking the input to the representation (I(X;T)) and the representation to the target (I(T;Y)). In this paper, we use an information theoretical approach to understand how Cascade Learning (CL), a method
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27

Hrynchak, Patricia, and Helen Batty. "The educational theory basis of team-based learning." Medical Teacher 34, no. 10 (May 30, 2012): 796–801. http://dx.doi.org/10.3109/0142159x.2012.687120.

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28

van der Knaap, Peter. "Theory-Based Evaluation and Learning: Possibilities and Challenges." Evaluation 10, no. 1 (January 2004): 16–34. http://dx.doi.org/10.1177/1356389004042328.

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29

Subramanian, Jayakumar, and Aditya Mahajan. "Renewal Monte Carlo: Renewal Theory-Based Reinforcement Learning." IEEE Transactions on Automatic Control 65, no. 8 (August 2020): 3663–70. http://dx.doi.org/10.1109/tac.2019.2953089.

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30

Gibbes, Marina, and Lorna Carson. "Project-based language learning: an activity theory analysis." Innovation in Language Learning and Teaching 8, no. 2 (May 20, 2013): 171–89. http://dx.doi.org/10.1080/17501229.2013.793689.

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31

Fisher, Margaret, and Sue Moore. "Enquiry-based learning links psychology theory to practice." British Journal of Midwifery 13, no. 3 (March 2005): 148–52. http://dx.doi.org/10.12968/bjom.2005.13.3.17634.

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32

Luo, Siwei. "Manifold Learning Algorithms Based on Spectral Graph Theory." Journal of Computer Research and Development 43, no. 7 (2006): 1173. http://dx.doi.org/10.1360/crad20060707.

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33

Levin, Joel R. "Elaboration-based learning strategies: Powerful theory = powerful application." Contemporary Educational Psychology 13, no. 3 (July 1988): 191–205. http://dx.doi.org/10.1016/0361-476x(88)90020-3.

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34

Chen, Ziheng, and Hongshik Ahn. "Item Response Theory Based Ensemble in Machine Learning." International Journal of Automation and Computing 17, no. 5 (September 9, 2020): 621–36. http://dx.doi.org/10.1007/s11633-020-1239-y.

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35

Chaochao, Huang, Wu Xiaodi, and Tong Wuqin. "Infrared Image Simulation Based On Statistical Learning Theory." International Journal of Infrared and Millimeter Waves 28, no. 12 (October 13, 2007): 1143–53. http://dx.doi.org/10.1007/s10762-007-9270-4.

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36

Durand, Guillaume, Nabil Belacel, and François LaPlante. "Graph theory based model for learning path recommendation." Information Sciences 251 (December 2013): 10–21. http://dx.doi.org/10.1016/j.ins.2013.04.017.

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37

Liu, Jian-Wei, Jia-Jia Zhou, Mohamed S. Kamel, and Xiong-Lin Luo. "Online Learning Algorithm Based on Adaptive Control Theory." IEEE Transactions on Neural Networks and Learning Systems 29, no. 6 (June 2018): 2278–93. http://dx.doi.org/10.1109/tnnls.2017.2688413.

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38

Shi, Lei. "Learning theory estimates for coefficient-based regularized regression." Applied and Computational Harmonic Analysis 34, no. 2 (March 2013): 252–65. http://dx.doi.org/10.1016/j.acha.2012.05.001.

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39

Law, Kris M. Y., and K. B. Chuah. "Project‐based action learning as learning approach in learning organisation: the theory and framework." Team Performance Management: An International Journal 10, no. 7/8 (October 2004): 178–86. http://dx.doi.org/10.1108/13527590410569904.

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40

Kandiri, Kandiri. "BEHAVIORAL BASED LEARNING." LISAN AL-HAL: Jurnal Pengembangan Pemikiran dan Kebudayaan 11, no. 1 (June 9, 2017): 105–26. http://dx.doi.org/10.35316/lisanalhal.v11i1.168.

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Behavior-based learning is inspire by some of behavioral figures led by Ivan Povlov, Thorndike, skinner and John B Watson are two foundations: 1) There are good behaviors (adaptive) and some mal-adaptive ones that can both be learned , 2) if the behavior can be learned, then it will follow principle of learning is change of behavior. In short, if learning behavior is good or pleasant, it tends to be reinforced and repeated, but if learning behavior is bad, it tends to be rejected, it will not be reinforced and repeated._x000D_ Teachers-parents in the past few decades have applied the principl
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41

Wu, Min Lun. "Making Sense of Digital Game-Based Learning: A Learning Theory-Based Typology Useful for Teachers." Journal of Studies in Education 8, no. 4 (September 27, 2018): 1. http://dx.doi.org/10.5296/jse.v8i4.13022.

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Digital game-based learning (DGBL) has gained traction on various educational levels in recent years as educators continue to seek best practices and researchers keep conducting studies to investigate the affordances and constraints of such technology-mediated instruction. This paper discusses the intersections between the historical development of educational digital games and contemporary theories of learning. Resultant from the review, a typology of educational digital games consisting of four genres -- edutainment and educational game applications, serious games, commercial off the shelf a
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42

Miyoshi, Seiji, Kazuyuki Hara, and Masato Okada. "Analysis of Ensemble Learning Using Simple Perceptrons Based on Online Learning Theory." Progress of Theoretical Physics Supplement 157 (2005): 270–74. http://dx.doi.org/10.1143/ptps.157.270.

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43

Wu, W.-H., H.-C. Hsiao, P.-L. Wu, C.-H. Lin, and S.-H. Huang. "Investigating the learning-theory foundations of game-based learning: a meta-analysis." Journal of Computer Assisted Learning 28, no. 3 (August 15, 2011): 265–79. http://dx.doi.org/10.1111/j.1365-2729.2011.00437.x.

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44

Shih, Claire Y. "Learning from Writing Reflective Learning Journals in a Theory-based Translation Module." Interpreter and Translator Trainer 5, no. 2 (September 2011): 309–24. http://dx.doi.org/10.1080/13556509.2011.10798823.

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45

Cook, David A. "Learning and Cognitive Styles in Web-Based Learning: Theory, Evidence, and Application." Academic Medicine 80, no. 3 (March 2005): 266–78. http://dx.doi.org/10.1097/00001888-200503000-00012.

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46

Pogorelova, Lioubov. "A Unique Experience Learning Calculus: Integrating Variation Theory with Problem-Based Learning." Journal of Research in Science, Mathematics and Technology Education 6, SI (June 15, 2023): 1–20. http://dx.doi.org/10.31756/jrsmte.211si.

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The paper proposes a pedagogical approach to teaching and learning calculus differentiation formulas that synthesizes the principles of variation theory (VT) and <i>bianshi </i>in a problem-based learning (PBL) format. Unlike traditional approaches that view formulas procedurally, the paper adapts Steinbring’s (1989) distinction between “concept” and “symbol,” abstracting differentiation calculus formulas as “concept” (i.e., the meaning of the formula) and “symbol” (i.e., procedural knowledge about how to apply the formula). The paper then aligns this distinction with VT and <i&
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47

Sasan, John Michael Villagorda, John Michael Villagorda Sasan, and Annabelle Rabillas. "Multimedia English Teaching Approach Based on Constructivist Learning Theory." ELTALL: English Language Teaching, Applied Linguistic and Literature 3, no. 2 (September 27, 2022): 51–65. http://dx.doi.org/10.21154/eltall.v3i2.4607.

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In the context of English study, multimedia has provided learners with unique features and benefits. Constructivist learning theory, on the other hand, has had a considerable impact on students' learning processes and progress as one of the most fundamental teaching theories in the field of education. This study looks at a wide range of sources to support the claim that integrating multimedia and constructivism theory improved students' overall English learning experience. While the authors of this study thought it would help students improve their English learning, they also wanted to give te
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48

Pazzani, Michael. "Learning to Predict and Explain: An Integration of Similarity-Based, Theory-Driven, and Explanation-Based Learning." Journal of the Learning Sciences 1, no. 2 (April 1991): 153–99. http://dx.doi.org/10.1207/s15327809jls0102_2.

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49

Ji, Wenfei, Tonghai Jiang, Meng Wang, Xinyu Tang, Guang Chen, and Shan Yang. "Online Knowledge Learning Model Based on Gravitational Field Theory." Applied Sciences 9, no. 15 (August 5, 2019): 3195. http://dx.doi.org/10.3390/app9153195.

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Currently, low-dimensional embedded representation learning models are the mainstream approach in knowledge representation research, due to ease of calculation and ability to utilize the spatial relationship between knowledge areas, which benefit from static knowledge learning. However, these models cannot update and learn knowledge online. Although using update strategies to update the knowledge base has been proposed by some scholars, this still requires retraining of knowledge and does not use the previous learning parameters and models. TransOnLine, an online knowledge learning method base
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50

Afify, Mohammed. "E-learning content design standards based on interactive digital concepts maps in light of meaningful learning theory and constructivist learning theory." Journal of Technology and Science Education 8, no. 1 (March 16, 2018): 5. http://dx.doi.org/10.3926/jotse.267.

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The present study aims to identify standards of interactive digital concepts maps design and their measurement indicators as a tool to develop, oraganize and administer e-learning content in the light of Meaningful Learning Theory and Constructivist Learning Theory. To achieve the objective of the research, the author prepared a list of E-learning content design standards based on interactive digital concepts maps. It involved (11) general standards and (40) performance indicators. It was investigated by 21 teaching staff members who are experts in educational technology and e-learning to rati
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