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Yun Zhang; Fangzheng Zhao; Richard E. Mayer – Journal of Computer Assisted Learning, 2025
Background and Objective: The positivity principle states that students learn better from instructors who display positive rather than negative or neutral emotions in multimedia lessons (Lawson et al. 2021a). This study extends this work by exploring the role of affective and social cues displayed by feedback providers, such as their emotional…
Descriptors: Multimedia Instruction, Psychological Patterns, Feedback (Response), Gender Differences
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Fangzheng Zhao; Richard E. Mayer – Journal of Computer Assisted Learning, 2025
Introduction: While prior research has delved into the emotional aspects of instructional design, it has not extensively examined whether integrating affective features specifically relevant to the theme of the learning materials is essential for enhancing learning effectiveness compared to incorporating general affective features. This study aims…
Descriptors: Multimedia Instruction, Teaching Methods, Cartoons, Psychological Patterns
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Fangzheng Zhao; Richard E. Mayer; Nicoletta Adamo-Villani; Christos Mousas; Minsoo Choi; Klay Hauser – Journal of Educational Computing Research, 2025
Do students learn from video lessons presented by pedagogical agents of different racial and gender types equivalently to those delivered by a real human instructor? How do the race and gender of these agents impact students' learning experiences and outcomes? In this between-subject design study, college students were randomly assigned to view a…
Descriptors: Multimedia Instruction, Race, Sex, Learning Experience
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Jiarui Hou; James F. Lee; Stephen Doherty – Journal of Computer Assisted Learning, 2025
Background: Recent research has demonstrated the potential of mobile-assisted learning to enhance learners' learning outcomes. In contrast, the learning processes in this regard are much less explored using eye tracking technology. Objective: This systematic review study aims to synthesise the relevant work to reflect the current state of eye…
Descriptors: State of the Art Reviews, Eye Movements, Electronic Learning, Handheld Devices