Bringing personalized learning into computer-aided question generation

Yi-Ting Huang; Meng Chang Chen; Yeali S. Sun

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arXiv · 1808.09735

Bringing personalized learning into computer-aided question generation

Yi-Ting Huang·Meng Chang Chen·Yeali S. Sun

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Abstract

This paper proposes a novel and statistical method of ability estimation based on acquisition distribution for a personalized computer aided question generation. This method captures the learning outcomes over time and provides a flexible measurement based on the acquisition distributions instead of precalibration. Compared to the previous studies, the proposed method is robust, especially when an ability of a student is unknown. The results from the empirical data show that the estimated abilities match the actual abilities of learners, and the pretest and post-test of the experimental group show significant improvement. These results suggest that this method can serves as the ability estimation for a personalized computer-aided testing environment.

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Yi-Ting Huang, Meng Chang Chen, Yeali S. Sun. 2018-08-29. Bringing personalized learning into computer-aided question generation. https://arxiv.org/abs/1808.09735

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