Awareness Is Not Enough: Pitfalls of Learning Analytics Dashboards in the Educational Practice

• Published in: Data Driven Approaches in Digital Education Vol. 10474; pp. 82 - 96
• Main Authors: Jivet, Ioana, Scheffel, Maren, Drachsler, Hendrik, Specht, Marcus
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2017; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Competition; Learning analytics; Learning dashboards; Learning science; Learning theory; Social comparison; Systematic review
• ISBN: 9783319666099; 3319666096
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-66610-5_7

It has been long argued that learning analytics has the potential to act as a “middle space” between the learning sciences and data analytics, creating technical possibilities for exploring the vast amount of data generated in online learning environments. One common learning analytics intervention is the learning dashboard, a support tool for teachers and learners alike that allows them to gain insight into the learning process. Although several related works have scrutinised the state-of-the-art in the field of learning dashboards, none have addressed the theoretical foundation that should inform the design of such interventions. In this systematic literature review, we analyse the extent to which theories and models from learning sciences have been integrated into the development of learning dashboards aimed at learners. Our critical examination reveals the most common educational concepts and the context in which they have been applied. We find evidence that current designs foster competition between learners rather than knowledge mastery, offering misguided frames of reference for comparison.