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The Effect of Self-Explaining on Robust Learning


IJAIE Volume 20, Number 4, ISSN 1560-4292


Self-explaining is a domain-independent learning strategy that generally leads to a robust understanding of the domain material. However, there are two potential explanations for its effectiveness. First, self-explanation generates additional "content" that does not exist in the instructional materials. Second, when compared to comprehension, "generation" of content increases understanding and recall. An "in vivo" experiment was designed to distinguish between these potentially orthogonal hypotheses. Students were instructed to use one of two learning strategies, self-explaining and paraphrasing, to study either a completely justified example or an incomplete example. Learning was assessed at multiple time points and levels of granularity. The results were consistent, favoring the generation account of self-explanation. This suggests that examples should be designed to encourage the active generation of missing content information. (Contains 4 footnotes, 5 tables, and 9 figures.)


Hausmann, R.G.M. & VanLehn, K. (2010). The Effect of Self-Explaining on Robust Learning. International Journal of Artificial Intelligence in Education, 20(4), 303-332. Retrieved November 14, 2019 from .

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