Features Students Really Expect from Learning Analytics

In higher education settings more and more learning is facilitated through online learning environments. To support and understand students' learning processes better, learning analytics offers a promising approach. The purpose of this study was to investigate students' expectations toward features of learning analytics systems. In a first qualitative exploratory study a total of 20 university students participated. They were interviewed about their expectations of learning analytics features. The findings of the qualitative study were validated in a second quantitative study in which 216 students took part. Findings show that students expect learning analytics features to support their planning and organization of learning processes, provide self-assessments, deliver adaptive recommendations, and produce personalized analyses of their learning activities. [For full proceedings, see ED571332.]