Learning Analytics Capability Model

: A journey from a learning analytics input model toward a more substantiated process model.

Abstract

This research aims to contribute to a better understanding of the Learning Analytics adoption process. This is to make educational institutions more willing to use Learning Analytics. To allocate resources to reach a certain maturity level, it would be beneficial to know in what order to develop capabilities. This thesis provides an answer to the main research question: In what order and at what level should educational institutions develop learning analytics capabilities to successfully deploy Learning Analytics?
To answer the research question an extensive literature review was conducted. From this, a theoretical framework was outlined based on some models, which were further elaborated and finally applied within focus group discussions at three Dutch higher education institutions. The outcomes of this discussions are a Learning Analytics capability process model. This model was established based on the consensus between the three educational institutions and aims to test the theoretical perspective of experts against what is experienced or done in practice. The process model divides the development of the capabilities into several phases and thus forms an answer to the proposed research question. The insights obtained can form a basis for arriving at a refined Learning Analytics capability process model.

Date of Award	17 Feb 2023
Original language	English
Supervisor	Justian Knobbout (Supervisor) & Ben Roelens (Examiner)