Abstract
The emergence of MOOCs enabled students from around the world engage in courses taught by professors from leading universities. However, the relatively low completion rates of MOOC participants has been a central criticism in the popular discourse. Some studies point to up to 90% evasion in some courses. The lack of knowledge in relation to course prerequisites (background gaps) is one of the reasons that reduce the completion rate. To alleviate this problem, this paper proposes the use of a Linked Courses structure to provide support to students. In this proposal, before starting a course, the background gaps of each student are identified and a personalized set of support courses is recommended to help him. Results obtained so far indicate the effectiveness of this approach.
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Barros, H., Magalhães, J., Marinho, T., Silva, M., Miranda, M., Costa, E. (2018). Linked Educational Online Courses to Provide Personalized Learning. In: Castro, F., Miranda-Jiménez, S., González-Mendoza, M. (eds) Advances in Computational Intelligence. MICAI 2017. Lecture Notes in Computer Science(), vol 10633. Springer, Cham. https://doi.org/10.1007/978-3-030-02840-4_16
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DOI: https://doi.org/10.1007/978-3-030-02840-4_16
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