A framework is proposed for automated generation of selfexplanation questions in worked examples. In the framework, in addition to the questions, the correct answer, distracters and feedback are also automatically generated. The framework is based on model-based generation of worked examples, and is domain-dependent rather than problem-specific.
CITATION STYLE
Kumar, A. N. (2015). Automated generation of self-explanation questions in worked examples in a model-based tutor. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9112, pp. 682–685). Springer Verlag. https://doi.org/10.1007/978-3-319-19773-9_91
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