Evaluation of a learning analytics application in Korea

Abstract

Concurrent with the development of the fields of Learning Analytics (LA) and Educational Data Mining (EDM), the monitoring of student behavior is now considered critical in improving student learning and offering personalized learning. In this paper, two learning analytics frameworks are presented as fundamental guides in designing and evaluating LA applications. The frameworks are evaluated both in theory and from the perspective of a real-life LA application that has been implemented in Korea. Distinct from the general trend of analyzing LA in secondary or tertiary educational level, this paper demonstrates that the frameworks need to be adjusted and extended to include areas and issues specific to primary education.