Analytics4Action Evaluation Framework: A Review of Evidence-Based Learning Analytics Interventions at the Open University UK. Issue 1 (19th January 2016)

• Record Type: Journal Article
• Authors: Rienties, Bart; Boroowa, Avinash; Cross, Simon; Kubiak, Chris; Mayles, Kevin; Murphy, Sam
• Is Part Of: Journal of interactive media in education. Issue 1(2016)
• Publication Date: 2016-01-19
• Subjects: learning analytics -- evidence-based research -- evaluation -- online learning -- data; Education -- Interactive multimedia -- Periodicals; Interactive multimedia -- Periodicals; Educational technology -- Periodicals; 371.1020285
• DOI: 10.5334/jime.394
• Languages: English
• ISSNs: 1365-893X

Abstract

There is an urgent need to develop an evidence-based framework for learning analytics whereby stakeholders can manage, evaluate, and make decisions about which types of interventions work well and under which conditions. In this article, we will work towards developing a foundation of an Analytics4Action Evaluation Framework (A4AEF) that is currently being tested and validated at the Open University UK. By working with 18 introductory large-scale modules for a period of two years across the five faculties and disciplines within the OU, Analytics4Action provides a bottom-up-approach for working together with key stakeholders within their respective contexts. A holistic A4AEF has been developed to unpack, understand and map the six key steps in the evidence-based intervention process. By means of an exemplar in health and social science, a practical illustration of A4AEF is provided. In the next 3–5 years, we hope that a rich, robust evidence-base will be presented to show how learning analytics can help teachers to make informed, timely and successful interventions that will help each learner to achieve the module's learning outcomes.