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

Konstantinos Tsiakas, Deborah Cnossen, Tim H.C. Muyrers, Danique R.C. Stappers, Romain H.A. Toebosch, Emilia Barakova

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021
PublisherAssociation for Computing Machinery, Inc
Pages262-263
Number of pages2
ISBN (Electronic)9781450387927
DOIs
Publication statusPublished - 29 Jun 2021
Event14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021 - Virtual, Online, Greece
Duration: 29 Jun 20211 Jul 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021
Country/TerritoryGreece
CityVirtual, Online
Period29/06/211/07/21

Bibliographical note

Publisher Copyright:
© 2021 Owner/Author.

Keywords

  • educational avatars
  • future-self
  • language learning
  • self-regulated learning
  • student modeling

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