Abstract
A major challenge in artificial intelligence is building intelligent, interactive learning environments that can support students in human-like ways. Analogical reasoning can be a catalyst for conceptual learning, yet very few systems support analogical reasoning as an instructional activity. In my thesis, I plan to demonstrate that an analogy tutor can assist conceptual learning by guiding students through instructional comparisons.
Cite
CITATION STYLE
Chang, M. D. (2014). Analogy tutor: A tutoring system for promoting conceptual learning via comparison. In Proceedings of the National Conference on Artificial Intelligence (Vol. 4, pp. 3067–3068). AI Access Foundation. https://doi.org/10.1609/aaai.v28i1.8784
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