Enhancing a Web-based Language Tutoring System with Learning Analytics.

This paper develops learning analytics and educational data mining perspectives for the FeedBook, an Intelligent Language Tutoring System that was fully integrated as a homework platform into 14 regular 7th grade English classes in German secondary schools during a full-year study ([12]). We demonstrate how different perspectives on learner and interaction data supported by different user interfaces of the system can help address demands of students, teachers, and material designers. The interfaces offers perspectives on individual students in the form of an open learner model, on classes and their typical errors to inform teachers, and on general learner performance to provide insights into the effectiveness of exercises for material designers.