Linguistic Constructs Represent the Domain Model in Intelligent Language Tutoring

Anisia Katinskaia, Jue Hou, Anh-duc Vu, Roman Yangarber


Abstract
This paper presents the development of the AI-based language-learning platform, Revita. It is an intelligent online tutor, developed to support learners of multiple languages, from lower-intermediate toward advanced levels. It has been in pilot use with hundreds of students at several universities, whose feedback and needs shape the development. One of the main emerging features of Revita is the system of linguistic constructs to represent the domain knowledge. The system of constructs is developed in collaboration with experts in language pedagogy. Constructs define the types of exercises, the content of the feedback, and enable detailed modeling and evaluation of learner progress.
Anthology ID:
2023.eacl-demo.16
Volume:
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
Month:
May
Year:
2023
Address:
Dubrovnik, Croatia
Editors:
Danilo Croce, Luca Soldaini
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
136–144
Language:
URL:
https://aclanthology.org/2023.eacl-demo.16
DOI:
10.18653/v1/2023.eacl-demo.16
Bibkey:
Cite (ACL):
Anisia Katinskaia, Jue Hou, Anh-duc Vu, and Roman Yangarber. 2023. Linguistic Constructs Represent the Domain Model in Intelligent Language Tutoring. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 136–144, Dubrovnik, Croatia. Association for Computational Linguistics.
Cite (Informal):
Linguistic Constructs Represent the Domain Model in Intelligent Language Tutoring (Katinskaia et al., EACL 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.eacl-demo.16.pdf
Video:
 https://aclanthology.org/2023.eacl-demo.16.mp4