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Human Factors: The Journal of the Human Factors and Ergonomics Society
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Using Animation to Help Students Learn Computer Algorithms

Richard Catrambone

Georgia Institute of Technology, Atlanta, Georgia

A. Fleming Seay

Carnegie Mellon University, Pittsburgh, Pennsylvania

This paper compares the effects of graphical study aids and animation on the problem-solving performance of students learning computer algorithms. Prior research has found inconsistent effects of animation on learning, and we believe this is partly attributable to animations not being designed to convey key information to learners. We performed an instructional analysis of the to-be-learned algorithms and designed the teaching materials based on that analysis. Participants studied stronger or weaker text-based information about the algorithm, and then some participants additionally studied still frames or an animation. Across 2 studies, learners who studied materials based on the instructional analysis tended to outperform other participants on both near and far transfer tasks. Animation also aided performance, particularly for participants who initially read the weaker text. These results suggest that animation might be added to curricula as a way of improving learning without needing revisions of existing texts and materials. Actual or potential applications of this research include the development of animations for learning complex systems as well as guidelines for determining when animations can aid learning.

Human Factors: The Journal of the Human Factors and Ergonomics Society, Vol. 44, No. 3, 495-511 (2002)
DOI: 10.1518/0018720024497637
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