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Adi Perry-Kates; Anat Cohen – Journal of Computer Assisted Learning, 2025
Background: In light of the growing need to understand interactive learning effectivity and especially post-COVID 19 pandemic constraints, the key question is how to develop interactive videos in order to get the most effective results. Objectives: This research aims to explore the pedagogical benefits of interactive video with branching…
Descriptors: Video Technology, Interaction, Instructional Effectiveness, Teaching Methods
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van Schaik, P.; Martin, S.; Vallance, M. – Journal of Computer Assisted Learning, 2012
In contexts other than immersive virtual environments, theoretical and empirical work has identified flow experience as a major factor in learning and human-computer interaction. Flow is defined as a "holistic sensation that people feel when they act with total involvement". We applied the concept of flow to modeling the experience of…
Descriptors: Structural Equation Models, Interaction, Problem Solving, Psychometrics
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Sung, Y.-T.; Hou, H.-T.; Liu, C.-K.; Chang, K.-E. – Journal of Computer Assisted Learning, 2010
Mobile devices have been increasingly utilized in informal learning because of their high degree of portability; mobile guide systems (or electronic guidebooks) have also been adopted in museum learning, including those that combine learning strategies and the general audio-visual guide systems. To gain a deeper understanding of the features and…
Descriptors: Informal Education, Learning Strategies, Sequential Learning, Problem Solving
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Linard, M. – Journal of Computer Assisted Learning, 1995
Describes the difference between mediation and "mediatisation." Suggests the need for a paradigm shift away from the computational model of knowledge as pure information processing and task-centered problem solving to a more contextualist, sociointeractional, constructivist, user-centered model of cognition. (Author/AEF)
Descriptors: Cognitive Processes, Constructivism (Learning), Educational Development, Information Processing