Linguistic Constructs as the Representation of the Domain Model in an Intelligent Language Tutoring System
It addresses the need for personalized and scalable language tutoring, though it appears incremental by building on existing intelligent tutoring system concepts.
The paper presents Revita, an AI-based language learning platform that uses linguistic constructs to represent domain knowledge, enabling tailored exercises and feedback for learners from low-intermediate to advanced levels, with pilot use by hundreds of students at universities.
This paper presents the development of an AI-based language learning platform Revita. It is a freely available intelligent online tutor, developed to support learners of multiple languages, from low-intermediate to advanced levels. It has been in pilot use by hundreds of students at several universities, whose feedback and needs are shaping the development. One of the main emerging features of Revita is the introduction of a system of linguistic constructs as the representation of domain knowledge. The system of constructs is developed in close collaboration with experts in language teaching. Constructs define the types of exercises, the content of the feedback, and enable the detailed modeling and evaluation of learning progress.