Abstract
Great learning opportunities are provided through MOOCs. However, MOOCs provide a number of challenges for students. Many students find it difficult to successfully finish MOOCs due to a variety of factors, including feelings of loneliness, a lack of support, and a lack of feedback. Additionally, the instructors of these courses are highly concerned about this situation and want to reduce these difficulties for their students. Due to the large number of students registered in these courses, this is not a simple task. To help both instructors and students, we created edX-LIMS, a learning analytics (LA) system that allows MOOC instructors to monitor the progress of their students and carry out an intervention strategy in their students’ learning thanks to a Web-based Instructor Dashboard. Furthermore, this LA system provides MOOC students with detailed feedback on their course performance as well as advice on how to improve it thanks to Web-based Learner Dashboards. This LA system have been used for more than two year in a MOOC at edX. During this period the Dashboards supported by the system have been improved, and as a result, MOOC students now appreciate the fact that they feel guided, engagement and motivated to complete the course, among other feelings. MOOC instructor have improved their student monitoring tasks and are better able to identify students who need assistance. Moreover thanks to the services that the intervention strategy supported by the LA system offer to them, now students and instructors feel that are connected.
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Acknowledgments
This work has been co-funded by the Madrid Regional Government through the e-Madrid-CM Project under Grant S2018/TCS-4307, a project which is co-funded by the European Structural Funds (FSE and FEDER). This research has been co-funded by the National Research Agency of the Spanish Ministry of Science, Innovation and Universities under project grant RED2018–102725-T (SNOLA). And, this research has been co-funded by the National Research Agency of the Spanish Ministry of Science and Innovation under project grants PID2019-105951RB-I00 (IndiGo!) and PID2021-127641OB-I00/AEI/FEDER https://doi.org/10.13039/501100011033 (BBforTAI).
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Cobos, R. (2023). The Learning Analytics System that Improves the Teaching-Learning Experience of MOOC Instructors and Students. In: González-González, C.S., et al. Learning Technologies and Systems. ICWL SETE 2022 2022. Lecture Notes in Computer Science, vol 13869. Springer, Cham. https://doi.org/10.1007/978-3-031-33023-0_3
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