Knowledge Acquisition for Learner Modelling in Second Language Learning

Abstract

The results of past studies in Error Analysis in applied linguistics and the experiences of developers of intelligent tutoring systems in learner modelling have influenced our definition of a new structure, called an "applicable rule", that can be used to help diagnose and to represent a learner's performance in second language learning systems. Based on this structure a prototype interface has been designed to acquire the knowledge that it must contain. The results of experiments with this interface, to validate and to fill it, have been instrumental in refining its structure, pointing out the difficulties of transforming it into an automated acquisition device, and in indicating its potential as a teaching device