Learning Design
Category: Predictive Analytics
Predictive analytics can be used to assist in learning design. For example, “Rienties and Toetenel (2016) linked 151 modules taught in 2012–2015 at the OU followed by 111,256 students with students’ behaviour using multiple regression models and found that learning designs strongly predicted Virtual Learning Environment (VLE) behaviour and performance of students, as illustrated in Figure 7.4. Findings indicated that the primary predictor of academic retention was how teachers designed their modules, in particular the relative amount of so-called ‘communication activities’ (i.e., student to student, teacher to student, student to teacher).†(Rientes & Jones, 2019: 116)
Examples and Articles
The impact of learning design on student behaviour, satisfaction and performance: A cross-institutional comparison across 151 modules
July 2016, Computers in Human Behavior 60:333-341. Authors: Bart Rienties,
Lisette Toetenel. "In this study we linked 151 modules and 111.256 students with students' behaviour (<400 million minutes of online behaviour), satisfaction and performance at the Open University UK using multiple regression models."
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