Students' expectations of learning analytics features

Schumacher, Clara ; Ifenthaler, Dirk

Document Type: Conference presentation
Year of publication: 2017
Conference title: AERA Annual Meeting 2017
Location of the conference venue: San Antonio, TX
Date of the conference: 27.04.2017
Publication language: English
Institution: Business School > Wirtschaftspädagogik, Technologiebasiertes Instruktionsdesign (Ifenthaler 2015-)
Subject: 150 Psychology
370 Education
Abstract: In higher education settings more and more learning takes place in online learning environments. To support and understand students’ (self-regulated) learning processes better, learning analytics provides a promising approach. The purpose of this exploratory qualitative study was to investigate students’ expectations towards features of learning analytics systems. A total of 20 university students participated in the present study. They were given an introduction on learning analytics systems before being interviewed about their expectations of learning analytics features. Findings show that students expect learning analytics features, which support their planning and organizing of learning processes, facilitate self-assessment, give suitable learning recommendations and show analyses of their learning activities.

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