Self-explained Answers
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| Self-explained Answers | |
| Contributors | Paul Salvador Inventado, Peter Scupelli |
|---|---|
| Last modification | May 15, 2017 |
| Source | Inventado & Scupelli (2017)[1] |
| Pattern formats | OPR Alexandrian |
| Usability | |
| Learning domain | |
| Stakeholders | |
Ask students to explain their answer to ensure they understand it, to help reinforce their understanding, and to encourage them to make generalizations from their solutions.
Context
Problem
Forces
Solution
Consequences
Benefits
Liabilities
Evidence
Literature
Aleven & Koedinger (2002)[2]
Hausmann & Chi (2002)[3]
Aleven, Koedinger & Popescu (2003)[4]
Chou & Lian (2009)[5]
Discussion
Data
Applied evaluation
Related patterns
Example
References
- ↑ Inventado, P.S. & Scupelli, P. (2017). Feedback Design Patterns for Math Online Learning Systems. Manuscript in preparation.
- ↑ Aleven, V. A., & Koedinger, K. R. (2002). An effective metacognitive strategy: Learning by doing and explaining with a computer-based Cognitive Tutor. Cognitive science, 26(2), 147-179.
- ↑ Hausmann, R. G., & Chi, M. H. (2002). Can a computer interface support self-explaining. Cognitive Technology, 7(1), 4-14.
- ↑ Aleven V., Koedinger, K. R., & Popescu, O. (2003). A Tutorial Dialog System to Support SelfExplanation: Evaluation and Open Questions. In U. Hoppe, F. Verdejo, & J. Kay (Eds.), In Proceedings of the 11th International Conference on Artificial Intelligence in Education (AIED 2003) (pp. 39-46). Amsterdam: IOS Press
- ↑ Chou, C. Y., & Liang, H. T. (2009). Content-Free Computer Supports for Self-Explaining: Modifiable Typing Interface and Prompting. Educational Technology & Society, 12(1), 121-133.