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Tom Harrison – Journal of Moral Education, 2024
Virtual reality (VR) is an increasingly popular artificially mediated, immersive experience that is accessed through a headset. Recent research is starting to provide evidence about the positive impact that virtual reality technology can have on teaching and learning. This research, to date, has been primarily undertaken in higher education and in…
Descriptors: Computer Simulation, Values Education, Educational Technology, Ethics
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Yu Gao; Linjing Wu; Xiaotong Lv; Xinqian Ma; Qingtang Liu – Journal of Computer Assisted Learning, 2024
Background: Both socially regulated learning and cognitive quality are important factors affecting collaborative knowledge building, but the current research lacks a joint quantified evaluation method that combines these two aspects. Objectives: Based on the existing framework, we proposed a joint evaluation method for regulated learning and…
Descriptors: Self Management, Cooperative Learning, Learning Strategies, Evaluation Methods
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Dominic Lohr; Hieke Keuning; Natalie Kiesler – Journal of Computer Assisted Learning, 2025
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large…
Descriptors: College Students, Programming, Artificial Intelligence, Feedback (Response)
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Hiroaki Ogata; Changhao Liang; Yuko Toyokawa; Chia-Yu Hsu; Kohei Nakamura; Taisei Yamauchi; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Izumi Horikoshi; Rwitajit Majumdar – Technology, Knowledge and Learning, 2024
This paper explores co-design in Japanese education for deploying data-driven educational technology and practice. Although there is a growing emphasis on data to inform educational decision-making and personalize learning experiences, challenges such as data interoperability and inconsistency with teaching goals prevent practitioners from…
Descriptors: Educational Technology, Instructional Design, Cooperation, Data Use
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Yuxia Shi; Zhonggen Yu – Electronic Journal of e-Learning, 2024
With the pervasiveness of laptops in the classroom setting, the effectiveness of laptop-assisted note-taking has not been comprehensively investigated. Many inconsistencies in this area still existed with intense debate towards academic performance, learning strategies, and student satisfaction. To fill this missing gap, this study probed the…
Descriptors: Notetaking, Laptop Computers, Student Satisfaction, Academic Achievement
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Daniel F. O. Onah; Elaine L. L. Pang; Jane E. Sinclair – Journal of Computing in Higher Education, 2024
Despite the proliferation of massive open online courses (MOOCs) and the impressive levels of enrolment they attract, many participants do not complete these courses. High drop-out has been identified as one of the major problems with existing MOOC formats. Our work addresses two factors relating to non-completion. Firstly, MOOCs require a high…
Descriptors: MOOCs, Self Management, Independent Study, Educational Technology
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Anna Keune – International Journal of Computer-Supported Collaborative Learning, 2024
A key commitment of computer-supported collaborative learning research is to study how people learn in collaborative settings to guide development of methods for capture and design for learning. Computer-supported collaborative learning research has a tradition of studying how the physical world plays a part in collaborative learning. Within the…
Descriptors: Design Crafts, Visual Arts, Algorithms, Cooperation
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W. Lewis Johnson – International Journal of Artificial Intelligence in Education, 2024
The advent of generative AI has caused both excitement and anxiety among educators. Some school systems have gone so far as to ban it altogether. Generative AI has the potential to transform human learning; but like any new technology, it has both strengths and weaknesses, and adopting it involves some risks. There are risks that generative AI…
Descriptors: Artificial Intelligence, Learning Strategies, Technology Uses in Education, Teacher Attitudes
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Qing Yu; Kun Yu; Baomin Li – Education and Information Technologies, 2024
As gamification is introduced into education, researchers believe it has the potential to improve online learning. However, the effects of gamified online learning (GOL) are mixed. Is it more effective than online learning? Given that no meta-analysis analyzes the effectiveness of GOL. This meta-analysis explores the effects of GOL on students'…
Descriptors: Gamification, Electronic Learning, Educational Improvement, Instructional Effectiveness
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Lingyun Huang; Juan Zheng; Susanne P. Lajoie; Yuxin Chen; Cindy E. Hmelo-Silver; Minhong Wang – Education and Information Technologies, 2024
Learning analytics dashboards (LADs) are often used to display real-time data indicating student learning trajectories and outcomes. Successful use of LADs requires teachers to orient their dashboard reviews with clear goals, apply appropriate strategies to interpret visualized information on LADs and monitor and evaluate their interpretations to…
Descriptors: Learning Analytics, Educational Technology, Self Management, Learning Strategies
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Yang-Hsin Fan; Tzung-Jin Lin – Journal of Educational Computing Research, 2025
Extant literature has preliminarily confirmed the potential benefits of holographic projections for educational purposes. Yet, students' experiences of learning by holographic projection have rarely been addressed. The main purpose of this study was therefore to explore students' conceptions of and approaches to learning by holographic projection.…
Descriptors: Foreign Countries, College Students, Astronomy, Lunar Research
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Ignacio Villagrán; Rocio Hernández; Gregory Schuit; Andrés Neyem; Javiera Fuentes; Loreto Larrondo; Elisa Margozzini; María T. Hurtado; Zoe Iriarte; Constanza Miranda; Julián Varas; Isabel Hilliger – Journal of Learning Analytics, 2024
Remote technology has been widely incorporated into health professions education. For procedural skills training, effective feedback and reflection processes are required. Consequently, supporting a self-regulated learning (SRL) approach with learning analytics dashboards (LADs) has proven beneficial in online environments. Despite the potential…
Descriptors: Feedback (Response), Independent Study, Skill Development, Learning Analytics
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Zixi Li; Curtis J. Bonk; Chen Zhou – Interactive Technology and Smart Education, 2024
Purpose: This study aims to investigate a unique approach to learning languages through self-directed online learning. Specifically, it explores the self-management abilities and skills learners need while learning a language outside traditional classroom settings when using mobile-assisted learning technology. Design/methodology/approach: A…
Descriptors: Self Management, Independent Study, Second Language Learning, Electronic Learning
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Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
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Denise M. Sweeney – Research in Learning Technology, 2024
The ability to design effective technology-enhanced learning (TEL) experiences is a critical skill for university teachers. However, challenges endure on how best to develop university teachers in research-intensive universities to design TEL experiences that meet student, professional, and employer expectations. Having a greater insight of the…
Descriptors: Educational Technology, Technology Uses in Education, Case Studies, Social Environment
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