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AI-assisted language learning: Assessing learners who memorize and reason by analogy

Artificial Intelligence, Cognition, Cognitive Psychology and seminar by Dr Pierre-Alexandre Murena, University of Helsinki

Hosted by Analogical Minds

Wednesday 15:00–16:30 Chicago (GMT-5)

Recording available

Online

Recording

1 h 1 min

Abstract

Vocabulary learning applications like Duolingo have millions of users around the world, but yet are based on very simple heuristics to choose teaching material to provide to their users. In this presentation, we will discuss the possibility to develop more advanced artificial teachers, which would be based on modeling of the learner’s inner characteristics. In the case of teaching vocabulary, understanding how the learner memorizes is enough. When it comes to picking grammar exercises, it becomes essential to assess how the learner reasons, in particular by analogy. This second application will illustrate how analogical and case-based reasoning can be employed in an alternative way in education: not as the teaching algorithm, but as a part of the learner’s model.

Topics

case-based reasoningduolingogrammar exerciseslearningvocabulary learning

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