Abstract
European universities are facing a massification of education, which leads to classes with the size of more than 1000 students in massive online courses (or in short “MOCs”, including the open version of MOOCs as a subcategory). This Grand Challenge Problem deals with the application of adaptive and adaptable educational technologies that exploit user-generated data in order to support individual and group learning in MOCs. The vision is to enhance MOC experiences in terms of efficiency and quality of study programs, including the fostering individual strengths of learners even in large cohorts of students with standardized materials.
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Mödritscher, F., Luengo, V., Law, E.LC., Hoppe, H.U., Stegmann, K. (2016). Grand Challenge Problem 7: Towards Adaptive and Adaptable Learning in Massive Online Courses. In: Eberle, J., Lund, K., Tchounikine, P., Fischer, F. (eds) Grand Challenge Problems in Technology-Enhanced Learning II: MOOCs and Beyond. SpringerBriefs in Education. Springer, Cham. https://doi.org/10.1007/978-3-319-12562-6_8
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DOI: https://doi.org/10.1007/978-3-319-12562-6_8
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