A classification of visual representations
Communications of the ACM
Does animation in user interfaces improve decision making?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
International Journal of Human-Computer Studies - Special issue: Interactive graphical communication
Top-down and bottom-up influences on learning from animations
International Journal of Human-Computer Studies
Relative effectiveness of animated and static diagrams: An effect of learner prior knowledge
Computers in Human Behavior
Learning from Animated Diagrams: How Are Mental Models Built?
Diagrams '08 Proceedings of the 5th international conference on Diagrammatic Representation and Inference
Instructional animations can be superior to statics when learning human motor skills
Computers in Human Behavior
The attention-guiding effect and cognitive load in the comprehension of animations
Computers in Human Behavior
An expertise reversal effect of segmentation in learning from animated worked-out examples
Computers in Human Behavior
Attention cueing in an instructional animation: The role of presentation speed
Computers in Human Behavior
Should hand actions be observed when learning hand motor skills from instructional animations?
Computers in Human Behavior
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Despite the rapid and widespread adoption of animations in education, there is still no systematic account of the main characteristics of expository animations that have been targeted by educational research. A literature search and analysis was conducted to address this deficiency. First, overviews, reviews, and meta-analyses were analysed to extract an initial set of dimensions to characterise expository animations. Next, a representative set of descriptions of expository animations used in past research on learning from animation was retrieved from the research literature. The animations employed in the 44 investigations analysed covered 30 different topics in 14 different domains. The characterisation developed distinguishes attributes that are inherent characteristics of animations from attributes that are external supplements to animations. The potential advantages of the characterisation developed as a framework for future research on learning from animation are discussed.