Reconciling Adaptivity and Task Orientation in the Student Dashboard of an Intelligent Language Tutoring System

Leona Colling, Tanja Heck, Detmar Meurers

Abstract
In intelligent language tutoring systems, student dashboards should display the learning progress and performance and support the navigation through the learning content. Designing an interface that transparently offers information on students’ learning in relation to specific learning targets while linking to the overarching functional goal, that motivates and organizes the practice in current foreign language teaching, is challenging. This becomes even more difficult in systems that adaptively expose students to different learning material and individualize system interactions. If such a system is used in an ecologically valid setting of blended learning, this generates additional requirements to incorporate the needs of students and teachers for control and customizability.We present the conceptual design of a student dashboard for a task-based, user-adaptive intelligent language tutoring system intended for use in real-life English classes in secondary schools. We highlight the key challenges and spell out open questions for future research.
Anthology ID:
2023.bea-1.25
Volume:
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Ekaterina Kochmar, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Nitin Madnani, Anaïs Tack, Victoria Yaneva, Zheng Yuan, Torsten Zesch
Venue:
BEA
SIG:
SIGEDU
Publisher:
Association for Computational Linguistics
Note:
Pages:
288–299
Language:
URL:
https://aclanthology.org/2023.bea-1.25
DOI:
10.18653/v1/2023.bea-1.25
Bibkey:
Cite (ACL):
Leona Colling, Tanja Heck, and Detmar Meurers. 2023. Reconciling Adaptivity and Task Orientation in the Student Dashboard of an Intelligent Language Tutoring System. In Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), pages 288–299, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
Reconciling Adaptivity and Task Orientation in the Student Dashboard of an Intelligent Language Tutoring System (Colling et al., BEA 2023)
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