Applying AI for modeling and understanding analogy-based classroom teaching tools and techniques
Besold, T. R. & Kuhnberger, K-U. (2014). Applying AI for modeling and understanding analogy-based classroom teaching tools and techniques. Lecture Notes in Computer Science, 8736, pp. 55-61. doi: 10.1007/978-3-319-11206-0_6
Abstract
This paper forms the final part of a short series of related articles[1,2] dedicated to highlighting a fruitful type of application of cognitively-inspired analogy engines in an educational context. It complements the earlier work with an additional fully worked out example by providing a short analysis and a detailed formal model (based on the Heuristic-Driven Theory Projection computational analogy framework) of the Number Highrise, a tool for teaching multiplication-based relations in the range of natural numbers up to 100 to children in their first years of primary school.
| Publication Type: | Article |
|---|---|
| Additional Information: | This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-319-11206-0_6 |
| Departments: | School of Science & Technology > Computer Science |
| SWORD Depositor: |
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