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.
Author supplied keywords
Cite
CITATION STYLE
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
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.