Development of an Adaptive Learning System Using Multiple-choice English Testing and Diagnosis

• In Event: KSET- Development of AI Technologies

Short Description

This study aims to develop an adaptive learning system using multiple-choice English test items and information obtained from the diagnosis based on the item response theory and cognitive diagnosis model. This adaptive learning system provides diagnostic profiles based on the learners’ responses to test items based on the cognitive diagnostic model. It further offers personalized learning instructions based on the diagnosed profiles.

Authors

• Contributor: Hawon Yoo, Korea University

• Contributor: Innwoo Park, Korea University