TY  - CHAP
A1  - Rienties, Bart
A1  - Cross, Simon
A1  - Zdrahal, Zdenek
Y1  - 2016/02//
TI  - Implementing a Learning Analytics Intervention and Evaluation Framework: what works?
AV  - public
T2  - Big Data and Learning Analytics in Higher Education: Current Theory and Practice
PB  - Springer
UR  - https://www.springer.com/gp/book/9783319065199
N2  - Substantial progress in learning analytics research has been made in recent years to predict which groups of learners are at-risk. In this chapter we argue that the largest challenge for learning analytics research and practice still lies ahead of us: using learning analytics modelling, which types of interventions have a positive impact on learners? Attitudes, Behaviour and Cognition (ABC). Two embedded case-studies in social science and science are discussed, whereby notions of evidence-based research are illustrated by scenarios (quasi-experimental, A/B-testing, RCT) to evaluate the impact of interventions. Finally, we discuss how a Learning Analytics Intervention and Evaluation Framework (LA-IEF) is currently being implemented at the Open University UK using principles of design-based research and evidence-based research.
SP  - 147
CY  - Heidelberg
ED  - Kei Daniel, Ben
ED  - Butson, Russell
SN  - 978-3-319-06520-5
EP  - 166
ID  - oro45023
ER  -