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 language | English |
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Title of host publication | 14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021 |
Publisher | Association for Computing Machinery, Inc |
Pages | 262-263 |
Number of pages | 2 |
ISBN (Electronic) | 9781450387927 |
DOIs | |
Publication status | Published - 29 Jun 2021 |
Event | 14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021 - Virtual, Online, Greece Duration: 29 Jun 2021 → 1 Jul 2021 |
Publication series
Name | ACM International Conference Proceeding Series |
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Conference
Conference | 14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021 |
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Country/Territory | Greece |
City | Virtual, Online |
Period | 29/06/21 → 1/07/21 |
Bibliographical note
Publisher Copyright:© 2021 Owner/Author.
Keywords
- educational avatars
- future-self
- language learning
- self-regulated learning
- student modeling