Using learning analytics to explore help-seeking learner profiles in MOOCs
Linda Corrin, Paula G de Barba, Aneesha Bakharia
Proceedings of the Seventh International Learning Analytics & Knowledge Conference | ASSOC COMPUTING MACHINERY | Published : 2017
In online learning environments, learners are often required to be more autonomous in their approach to learning. In scaled online learning environments, like Massive Open Online Courses (MOOCs), there are differences in the ability of learners to access teachers and peers to get help with their study than in more traditional educational environments. This exploratory study examines the help-seeking behaviour of learners across several MOOCs with different audiences and designs. Learning analytics techniques (e.g., dimension reduction with t-sne and clustering with affinity propagation) were applied to identify clusters and determine profiles of learners on the basis of their help-seeking be..View full abstract
Awarded by Special Research Initiative of the Australian Research Council
Oe authors would like to acknowledge the support of the coordinators of the MOOCs included in this study: Professor Peter McPhee, Professor Raoul Mulder, Professor Patrick Griffin and Professor Pascal Van Hentenryck. A Special Research Initiative of the Australian Research Council supported this research: ARC-SRI Science of Learning Research Centre (project number SRI20300015).