What changes, and for whom? A study of the impact of learning analytics-based process feedback in a large course

Publication date: Available online 16 May 2019Source: Learning and InstructionAuthor(s): Lisa-Angelique Lim, Sheridan Gentili, Abelardo Pardo, Vitomir Kovanović, Alexander Whitelock-Wainwright, Dragan Gašević, Shane DawsonAbstractRecent developments in educational technologies have provided a viable solution to the challenges associated with scaling personalised feedback to students. However, there is currently little empirical evidence about the impact such scaled feedback has on student learning progress and study behaviour. This paper presents the findings of a study that looked at the impact of a learning analytics (LA)-based feedback system on students' self-regulated learning and academic achievement in a large, first-year undergraduate course. Using the COPES model of self-regulated learning (SRL), we analysed the learning operations of students, by way of log data from the learning management system and e-book, as well as the products of SRL, namely, performance on course assessments, from three years of course offerings. The latest course offering involved an intervention condition that made use of an educational technology to provide LA-based process feedback. Propensity score matching was employed to match a control group to the student cohort enrolled in the latest course offering, creating two equal-sized groups of students who received the feedback (the experimental group) and those who did not (the control group). Growth mixture modelling and mixed between-w...
Source: Learning and Instruction - Category: Psychiatry & Psychology Source Type: research