FutureMe: Negotiating Learning Goals with your Future Learning-Self Avatar

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Abstract

This paper discusses the challenges towards designing an educational avatar which visualizes the future learning-self of the student in order to promote their self-regulated learning skills. More specifically, the avatar follows a negotiation-based interaction with the student during the goal-setting process of self-regulated learning. The goal of the avatar is to help the student get insights of their possible future leaning-selves, given a set of short-term goals regarding their study materials and homework. Our approach utilizes a recurrent neural network as the underlying prediction model for the future learning outcomes, in the context of language learning.

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Tsiakas, K., Cnossen, D., Muyrers, T. H. C., Stappers, D. R. C., Toebosch, R. H. A., & Barakova, E. (2021). FutureMe: Negotiating Learning Goals with your Future Learning-Self Avatar. In ACM International Conference Proceeding Series (pp. 262–263). Association for Computing Machinery. https://doi.org/10.1145/3453892.3461008

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