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Joshua Meyer – Experiential Learning and Teaching in Higher Education, 2025
This concept paper proposes a way of mapping educational landscapes to clarify the practice of experiential programming. It initially reviews how experiential education has been defined and suggestions for better definitional clarity. It then examines a recent initiative commissioned by the Society for Experiential Education to update its…
Descriptors: Experiential Learning, Definitions, Models, Educational Practices
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Sonja Kleter; Uwe Matzat; Rianne Conijn – IEEE Transactions on Learning Technologies, 2024
Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…
Descriptors: Prediction, Models, Academic Achievement, Learning Analytics
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Xia, Xiaona – SAGE Open, 2022
Mining problems and exploring rules are the key problems in the learning process, and also the difficulties in education big data. Therefore, taking learning behavior as the research objective, this study demonstrates the collaborative training method of multi view learning interaction process driven by big data, so as to realize the tendency…
Descriptors: Learning Analytics, Learning Processes, Cooperative Learning, Training Methods
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Peppler, Kylie; Davis-Soylu, Heidi J.; Dahn, Maggie – Arts Education Policy Review, 2023
Traditional reviews of arts education have focused on why the arts are valuable for learning, but the arts' contributions to cross-disciplinary discourse remain undertheorized. In this article, we provide a theoretical review of the arts and learning to suggest a new way of thinking about how the arts contribute to learning across disciplines…
Descriptors: Art Education, Learning Processes, Models, Interdisciplinary Approach
Ryan Daniel Budnick – ProQuest LLC, 2023
The past thirty years have shown a rise in models of language acquisition in which the state of the learner is characterized as a probability distribution over a set of non-stochastic grammars. In recent years, increasingly powerful models have been constructed as earlier models have failed to generalize well to increasingly complex and realistic…
Descriptors: Grammar, Feedback (Response), Algorithms, Computational Linguistics
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Shu-Fang Hsieh; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2025
Background: While both Content and Language Integrated Learning (CLIL) and Digital Game-Based Learning (DGBL) are widely recognised as effective methods to enhance bilingual education, their combination often leads to cognitive overload and fragmented learning experiences. In Taiwan's bilingual education context, where integrating English into…
Descriptors: Concept Mapping, Content and Language Integrated Learning, Computer Games, Educational Games
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Dinsmore, Daniel L.; Fryer, Luke K.; Dumas, Denis G. – Educational Psychology Review, 2023
The literature on cognitive processing and strategic processing is murky with regard to how these types of processing influence learning. One reason for this is that the frameworks used to investigate these relations have separately focused on different aspects related to cognitive processing with little integration between them. To address these…
Descriptors: Cognitive Processes, Models, Barriers, Learning
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Xia, Xiaona; Qi, Wanxue – Education and Information Technologies, 2023
MOOCs might be an important organization way to realize the online learning process. Online technology and sharing technology enable MOOCs to realize the adaptive scheduling of learning resources, as well as the independent construction of learning sequences. At the same time, it also generates a large number of complex learning behaviors. How to…
Descriptors: MOOCs, Learning Processes, Learning Analytics, Graphs
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M. Garrett Delavan; Juan A. Freire; Ester de Jong – Modern Language Journal, 2025
This theoretical article, with recommendations for practice, interrogates how the field discusses dual language bilingual education (DLBE) models in the United States, with international implications for bilingual, immersion, and content and language integrated learning contexts. We reconceptualize the equity problems and potentials of so-called…
Descriptors: Bilingual Education, Equal Education, Decision Making, Immersion Programs
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Sonja Dieterich; Stefan Rumann; Marc Rodemer – Educational Psychology Review, 2025
Example-based learning is a well-known instructional method for effective cognitive skill acquisition in complex domains. "(Contrasting) erroneous examples" are a promising extension that embed errors in instructional material, potentially fostering not only positive but negative knowledge. However, the mechanisms and conditions for…
Descriptors: Learning Processes, Teaching Methods, Instructional Effectiveness, Models
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Raymond A. Opoku; Bo Pei; Wanli Xing – Journal of Learning Analytics, 2025
While high-accuracy machine learning (ML) models for predicting student learning performance have been widely explored, their deployment in real educational settings can lead to unintended harm if the predictions are biased. This study systematically examines the trade-offs between prediction accuracy and fairness in ML models trained on the…
Descriptors: Prediction, Accuracy, Electronic Learning, Artificial Intelligence
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Rungfa Pasmala; Prachyanun Nilsook; Panita Wannapiroon; Thada Jantakoon – Asian Journal of Education and Training, 2025
This study introduces and validates the Technological Pedagogical Content Knowledge--Integrated Experiential Performance Learning (TPACK-EPL) Model, designed to enhance learners' digital competency through a structured instructional design framework. The model integrates the TPACK framework with experiential and performance-based learning,…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Experiential Learning, Competency Based Education
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Matias Vico Anggoro Kristanto; Farida Nurhasanah; Rubono Setiawan; Masitah Shahrill – Open Education Studies, 2025
Financial literacy is an essential skill for individuals, yet many countries are encountering many challenges to achieving the desired level of ideal financial literacy. Improving financial literacy requires integrating mathematical literacy with psychological, social, and cultural factors. Despite its importance, there is a lack of comprehensive…
Descriptors: Mathematics Instruction, Financial Literacy, Money Management, Interdisciplinary Approach
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Mohammed Jebbari; Bouchaib Cherradi; Soufiane Hamida; Abdelhadi Raihani – Education and Information Technologies, 2024
With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…
Descriptors: MOOCs, Algorithms, Computer Simulation, COVID-19
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P. Prasetiyo; Mimien Henie Irawati Al Muhdhara; I. Ibrohim; Murni Saptasari – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2024
Low literacy levels are believed to be one of the causes of environmental damage problems. It is felt that the current implementation of the problem-based learning model is still not optimal in increasing students' environmental literacy, especially regarding sustainable issues. This research aims to (1) produce a sustainable issue-based learning…
Descriptors: Foreign Countries, Problem Based Learning, Literacy, Environmental Education
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