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A review of learning demands in instructional animations

The educational effectiveness of animations unfolds if the features of change need to be learned

Bibliographic Data

ID21499658
AuthorsRolf Ploetzner (0000-0003-4894-6631, Department of Psychology University of Education Freiburg Germany, corresponding author), Sandra Berney (0000-0002-6643-9302, TECFA‐FAPSE University of Geneva Geneva Switzerland), Mireille Bétrancourt (0000-0001-7144-167X, TECFA‐FAPSE University of Geneva Geneva Switzerland)
Year2020
Volume36
Issue6
Pages838-860
Publication date2020-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Computer Assisted Learning (JOURNAL)
Journal identifiersISSN: 0266-4909 • E-ISSN: 1365-2729
PublisherWiley (PUBLISHER • GB)
DOI10.1111/jcal.12476
OpenAlexW3046008747
LanguageEN
Citations received20
References cited175

In a systematic review, 194 studies on learning from animation were analysed. The analysis covers the learning domains, the representational characteristics of the animations, the assessed perceptual and cognitive achievements, and the assessment formats. Research on learning from animation focuses on assessing conceptual at the neglect of kinematic mental models. This is in contrast to an important rationale for making use of animations: that it needs to be learned what animations can specifically display, namely, how change in space and time occurs. This might explain why meta‐analyses which compared the effectiveness of animations and static pictures found merely small overall effect sizes in favour of animations. To confirm this hypothesis, one meta‐analysis was re‐analysed with a new moderator. It encodes whether the features of the displayed changes were relevant to learning. Learning from animations was significantly more successful than learning from static pictures, if the features of the displayed changes had to be learned

Animation · Cognition · Cognitive psychology · Educational technology · Human–computer interaction · Machine learning · Mathematics education · Moderation · Multimedia · Neglect · Perception · Computer Science · Educational Games and Gamification · Psychology · Science Education and Pedagogy · Visual and Cognitive Learning Processes

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Unique citing works20
Citations per year4
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 19

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