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Teaching Without Learning: Is It OK With Weak AI?

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10948)

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.

Keywords

Teachable agent Learning model Perceived intelligence Protégé effect Learning outcome 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.LUCS, Lund University Cognitive ScienceLund UniversityLundSweden

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