Supporting adaptive learning pathways through the use of learning analytics: developments,challenges and future opportunities |
| |
| Authors: | Anna Mavroudi Michail Giannakos John Krogstie |
| |
| Institution: | Department of Computer Science, Norwegian university of Science and Technology (NTNU), Trondheim, Norway |
| |
| Abstract: | Learning Analytics (LA) and adaptive learning are inextricably linked since they both foster technology-supported learner-centred education. This study identifies developments focusing on their interplay and emphasises insufficiently investigated directions which display a higher innovation potential. Twenty-one peer-reviewed studies are identified via a systematic review and classified based on the dimensions of a proposed framework. The findings of the review suggest that interesting work has been carried out during the last years on the topic. We conclude with a need for more research on the topic in specific learning domains and settings. Recommendations include: a clear strategy for adaptation augmented by LA, the combination of on-task with pre-task measures, and the combination of system-controlled adaptation with user-controlled adaptation. Future trends include the emergence of constructivist-collaborative environments that provide insightful models of complex student behaviour. |
| |
| Keywords: | Adaptive learning learning analytics systematic literature review technology enhanced learning evidence-based learning learner diversity |
|
