Web-based student modeling for learning multiple languages

Abstract

This paper describes the development of web-based student modeling, which aims to be useful in multiple language learning. Web services provide remote access to the system, which performs affective user modeling. The system holds student models, namely it creates a profile for every student and provides individualized help, via the advice generator component. The error diagnosis component is useful for evaluating students' errors and is performed for all the system's supported languages. Given that software applications that operate over the web are targeted to a wide range of users, we promote the adaptivity and individualization to each user that interacts with the application and we give students the possibility of learning multiple languages over the Web.