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Khaleel Asyraaf Mat Sanusi; Deniz Iren; Nardie Fanchamps; Mai Geisen; Roland Klemke – Educational Technology Research and Development, 2025
Psychomotor skill training has traditionally relied on the physical presence of both teacher and learner for effective demonstrations and feedback, posing challenges for remote and self-directed learning. Technological advancements have given rise to immersive learning environments (ILEs), offering novel solutions for interactive and multimodal…
Descriptors: Psychomotor Skills, Skill Development, Computer Simulation, Electronic Learning
Harley, Jason M.; Poitras, Eric G.; Jarrell, Amanda; Duffy, Melissa C.; Lajoie, Susanne P. – Educational Technology Research and Development, 2016
Research on the effectiveness of augmented reality (AR) on learning exists, but there is a paucity of empirical work that explores the role that positive emotions play in supporting learning in such settings. To address this gap, this study compared undergraduate students' emotions and learning outcomes during a guided historical tour using mobile…
Descriptors: Comparative Analysis, Computer Simulation, Electronic Learning, Outcomes of Education
Fiorella, Logan; Vogel-Walcutt, Jennifer J.; Schatz, Sae – Educational Technology Research and Development, 2012
Effectively presenting complex material is a crucial component of instructional design within simulation-based training (SBT) environments. One approach to facilitate the acquisition of higher-order knowledge is to embed instructional strategies within the systems themselves. Currently, however, there are few established guidelines to inform…
Descriptors: Feedback (Response), Instructional Design, Thinking Skills, Decision Making
Capelo, Carlos; Dias, Joao Ferreira – Educational Technology Research and Development, 2009
This study aims to be a contribution to a theoretical model that explains the effectiveness of the learning and decision-making processes by means of a feedback and mental models perspective. With appropriate mental models, managers should be able to improve their capacity to deal with dynamically complex contexts, in order to achieve long-term…
Descriptors: Feedback (Response), Models, Decision Making, Learning Processes