Abstract
We investigated whether augmenting instructional animations with a body analogy (BA) would improve 10- to 13-year-old children’s learning about class-1 levers. Children with a lower level of general math skill who learned with an instructional animation that provided a BA of the physical system, showed higher accuracy on a lever problem-solving reaction time task than children studying the instructional animation without this BA. Additionally, learning with a BA led to a higher speed–accuracy trade-off during the transfer task for children with a lower math skill, which provided additional evidence that especially this group is likely to be affected by learning with a BA. However, overall accuracy and solving speed on the transfer task was not affected by learning with or without this BA. These results suggest that providing children with a BA during animation study provides a stepping-stone for understanding mechanical principles of a physical system, which may prove useful for instructional designers. Yet, because the BA does not seem effective for all children, nor for all tasks, the degree of effectiveness of body analogies should be studied further. Future research, we conclude, should be more sensitive to the necessary degree of analogous mapping between the body and physical systems, and whether this mapping is effective for reasoning about more complex instantiations of such physical systems.
Highlights
Instructional animations (IA) are increasingly implemented in educational environments (Chandler, 2009)
The value of animated over static visualizations for instruction can be intuitively grasped: IA offer the learner direct pick-up of process related information, which must be inferred from static visualizations (Spanjers et al, 2010)
It was found that when taking general math skill into account as a moderator, this body analogy (BA) condition was positively affecting lever problem-solving accuracy on the RT-test as compared to the control condition, in which the same instructional animation was shown without the BA
Summary
Instructional animations (IA) are increasingly implemented in educational environments (Chandler, 2009). The value of animated over static visualizations for instruction can be intuitively grasped: IA offer the learner direct pick-up of process related information (i.e., information that interacts with time, such as causality and motion), which must be inferred from static visualizations (Spanjers et al, 2010). In the instructional domain of physical systems (e.g., gears, electrical systems, etc.), visual presentation benefits learning overall (as opposed to non-graphical instructions), findings regarding the effectiveness of animated versus static visualizations are mixed (Hegarty et al, 2003). Based on the mixed results Tversky et al (2002) concluded: “The many failures to find benefits of animation . This was taken to heart, and later studies have suggested that the main problem with learning from dynamic
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