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Matovu, Henry; Ungu, Dewi Ayu Kencana; Won, Mihye; Tsai, Chin-Chung; Treagust, David F.; Mocerino, Mauro; Tasker, Roy – Studies in Science Education, 2023
The advanced visualisation and interactive capabilities make immersive virtual reality (IVR) attractive for educators to investigate its educational benefits. This research reviewed 64 studies published in 2016-2020 to understand how science educators designed, implemented, and evaluated IVR-based learning. The immersive design features (sensory,…
Descriptors: Computer Simulation, Science Instruction, Teaching Methods, Science Education
Siegelman, Noam; Bogaerts, Louisa; Kronenfeld, Ofer; Frost, Ram – Cognitive Science, 2018
From a theoretical perspective, most discussions of statistical learning (SL) have focused on the possible "statistical" properties that are the object of learning. Much less attention has been given to defining what "learning" is in the context of "statistical learning." One major difficulty is that SL research has…
Descriptors: Statistics, Learning Processes, Visual Learning, Learning Modalities
Soiferman, L. Karen – Online Submission, 2019
The debate on the validity of teaching students how to identify their own preferred learning style is not going to go away anytime soon as evidenced by the number of articles still being written about the topic. One can find numerous research studies that say students have different strengths and weaknesses when it comes to learning and retaining…
Descriptors: Cognitive Style, Learning Strategies, Teaching Methods, Preferences
Campbell, Cary – International Journal of Education & the Arts, 2018
Attention to sub-conscious and pre-conceptual cognition is often neglected in educational research and theory, which, through failing to adequately conceptualize the emergence of perceptual learning, often inadvertently privileges a narrow and disembodied approach that emphasizes 'abstract symbolic processing' at the expense of more sensory forms…
Descriptors: Art Education, Advocacy, Cognitive Processes, Semiotics
Perveen, Ayesha – Turkish Online Journal of Distance Education, 2018
This paper develops a theoretical framework for employing learning analytics in online education to trace multiple learning variations of online students by considering their potential of being multiple intelligences based on Howard Gardner's 1983 theory of multiple intelligences. The study first emphasizes the need to facilitate students as…
Descriptors: Multiple Intelligences, Electronic Learning, Data Collection, Data Analysis

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