Abstract
Two different learning models for a teachable agent were tested with respect to perceived intelligence, the protégé effect, and learning in Swedish grade 5 and 6 students. A strong positive correlation was found between perceived intelligence and the protégé effect, but no significant differences were found between the two different implementations of the learning algorithm. The results suggest that while the perceived intelligence of the agent relates to the induced protégé effect, this perceived intelligence did not correspond to the implemented learning model. This, in turn, suggest that a simple learning model can be sufficient for a teachable agent system, but more research is needed.
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Månsson, K., Haake, M. (2018). Teaching Without Learning: Is It OK With Weak AI?. In: Penstein Rosé, C., et al. Artificial Intelligence in Education. AIED 2018. Lecture Notes in Computer Science(), vol 10948. Springer, Cham. https://doi.org/10.1007/978-3-319-93846-2_44
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DOI: https://doi.org/10.1007/978-3-319-93846-2_44
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