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Benjamin M. Rottman; Yiwen Zhang – Cognitive Research: Principles and Implications, 2025
Being able to notice that a cause-effect relation is getting stronger or weaker is important for adapting to one's environment and deciding how to use the cause in the future. We conducted an experiment in which participants learned about a cause-effect relation that either got stronger or weaker over time. The experiment was conducted with a…
Descriptors: Causal Models, Memory, Learning Processes, Time
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David Williamson Shaffer; Yeyu Wang; Andrew Ruis – Journal of Learning Analytics, 2025
Learning is a multimodal process, and learning analytics (LA) researchers can readily access rich learning process data from multiple modalities, including audio-video recordings or transcripts of in-person interactions; logfiles and messages from online activities; and biometric measurements such as eye-tracking, movement, and galvanic skin…
Descriptors: Learning Processes, Learning Analytics, Models, Data
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Lucas Paulsen; Euan Lindsay – Education and Information Technologies, 2024
This systematic review explores the emerging themes in the design and implementation of student-facing learning analytics dashboards in higher education. Learning Analytics has long been criticised for focusing too much on the analytics, and not enough on the learning. The review is then guided by an interest in whether these dashboards are still…
Descriptors: Learning Analytics, Educational Technology, Learning Processes, College Students
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Jewoong Moon; Daeyeoul Lee; Gi Woong Choi; Jooyoung Seo; Jaewoo Do; Taehyeong Lim – Interactive Learning Environments, 2024
We implemented a systematic literature review to investigate the trends and issues of learning analytics in seamless learning environments. We collected and analyzed a total of 27 empirical journal articles that study and discuss learning analytics design and implementation in seamless learning environments. In a recent decade, researchers have…
Descriptors: Learning Analytics, Literature Reviews, Active Learning, Inquiry
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Ia Williamsson; Linda Askenäs – Learning Organization, 2024
Purpose: This study aims to understand how practitioners use their insights in software development models to share experiences within and between organizations. Design/methodology/approach: This is a qualitative study of practitioners in software development projects, in large-, medium- or small-size businesses. It analyzes interview material in…
Descriptors: Organizational Learning, Computer Software, Business, Reflection
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Keng-Chih Hsu; Gi-Zen Liu – Journal of Computer Assisted Learning, 2025
Background: Augmented reality (AR) emerges as a technology with considerable promise and substantial potential for pedagogical integration within language education contexts. However, there remains a scarcity of review studies exploring the best practices and principles for oral communication facilitation based on robust theoretical models or…
Descriptors: Computer Simulation, Computer Assisted Design, Verbal Communication, Language Acquisition
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Yazid Basthomi; Francisca Maria Ivone; M. Kharis; Joko Slamet – Online Learning, 2025
This study addresses critical gaps in English proficiency assessments, particularly for English as a Foreign Language (EFL) students, by focusing on the foundational aspect of needs analysis in designing a platform to assist EFL students in preparation for real English proficiency tests. The existing tests, such as TOEFL and IELTS, often fail to…
Descriptors: Needs Assessment, English (Second Language), Second Language Learning, Second Language Instruction
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Kitiya Promsron; Prachyanun Nilsook; Pallop Piriyasurawong – International Education Studies, 2025
The COVID-19 pandemic forced school closures globally, leading to significant learning regression in academic performance, skills, and ethical development. This study aims to: 1) synthesize and develop an adaptive micro-learning model based on Dhamma principles using mixed reality (MR), 2) compare pre- and post-test results, and 3) assess the…
Descriptors: Learning Activities, Electronic Learning, Learning Modules, Citizenship Education
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Jiahui Du; Khe Foon Hew; Long Zhang – Education and Information Technologies, 2025
Self-regulated learning (SRL) is a prerequisite for successful learning. However, studies have reported that many students struggle with self-regulation in online learning, indicating the need to provide students with additional support for SRL. This study adopted a design-based research methodology to iteratively design, implement, and evaluate…
Descriptors: Independent Study, Artificial Intelligence, Electronic Learning, Graduate Students
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Amarpreet Gill; Derek Irwin; Linjing Sun; Dave Towey; Gege Zhang; Yanhui Zhang – IEEE Transactions on Learning Technologies, 2025
The rapid changes in technology available for teaching and learning have led to a wide variety of potential tools that can be deployed to support a student's education experience. This article examines the learning interfaces for pedagogical virtual reality (VR) environments, including immersive VR (iVR). It also looks at how microlearning (ML)…
Descriptors: Computer Simulation, Learning Activities, Electronic Learning, Learning Modules
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Mauro Marino-Jiménez; Norma Sánchez-Chávez; Yenny Rivero-Fortón; Kelly Hernández-Sánchez – SAGE Open, 2025
Student performance, disciplinary innovation and teaching methodology occupy the main concerns of educational research. Therefore, there is a greater interest in gamification strategies, where digital tools facilitate the development of competitive activities and strengthening of learning. One example of this idea is the use of video games created…
Descriptors: Video Games, Cooperative Learning, Game Based Learning, Learning Strategies
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Pu Zhao – Journal of Education and Learning, 2025
Problem-based learning (PBL) has been widely acclaimed as an innovative pedagogical approach that nurtures students' problem-solving abilities, self-directed learning skills, and collaborative competencies. This systematic review examines the structure and implementation strategies of PBL courses in legal education. Through a comprehensive…
Descriptors: Problem Based Learning, Legal Education (Professions), Educational Strategies, Learning Objectives
John D. Egan; Steven Tolman; Juliann Sergi McBrayer; Emily Ballesteros – Experiential Learning and Teaching in Higher Education, 2023
Kolb's experiential learning cycle is typically applied in short-term, episodic snapshots of time, while understating the implications of continual, longer-term learning. This fixed-frame, episodic usage may diminish the knowledge that learners bring into an educational experience and the continued shaping of knowledge through future experiences.…
Descriptors: Experiential Learning, Lifelong Learning, Models, Learning Processes
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David Tomczyk; Atul Teckchandani – Management Teaching Review, 2025
Despite the many theories supporting experiential learning, there is little guidance on how to design effective experiential exercises. To address this gap, we adapt insights from gamification research to devise a step-by-step process that management instructors may use to design effective experiential exercises for use in face-to-face and virtual…
Descriptors: Experiential Learning, Gamification, In Person Learning, Electronic Learning
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Conrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
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