Journal article
Architecting Analytics across Multiple E-Learning Systems to Enhance Learning Design
K Mangaroska, B Vesin, V Kostakos, P Brusilovsky, MN Giannakos
IEEE Transactions on Learning Technologies | IEEE COMPUTER SOC | Published : 2021
Abstract
With the wide expansion of distributed learning environments the way we learn became more diverse than ever. This poses an opportunity to incorporate different data sources of learning traces that can offer broader insights into learner behavior and the intricacies of the learning process. We argue that combining analytics across different e-learning systems can potentially measure the effectiveness of learning designs and maximize learning opportunities in distributed settings. As a step toward this goal, in this study, we considered how to broaden the context of a single learning environment into a learning ecosystem that integrates three separate e-learning systems. We present a cross-pla..
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Awarded by Norges Forskningsråd
Funding Acknowledgements
This work was supported by the Research Council of Norway under the Project FUTURE LEARNING (255129/H20). (Corresponding author: Katerina Mangaroska.)