Predicting and Assessing Student Motivation and Autonomy in a Distance Learning Context
Dikagma Bassagou, Frédéric Hoogstoel, Luigi Lancieri, CRIStAL - Centre de Recherche en Informatique, France
EdMedia + Innovate Learning, in Amsterdam, Netherlands Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
In addition to seeking a concrete solution to the problem of student overpopulation, the objective of the experiment described in this article is to better understand the determinants and consequences of students’ motivation and autonomy within distance learning. By situating our experience in a collaborative framework, we seek to know to what extent this context encourages the expression of these characteristics and what their social dimensions are. We hope that this experimentation will make it possible to compare the feeling and the results' progression in distant situation and in classroom. This evaluation will enable us to assess the quality of our indicators.
Bassagou, D., Hoogstoel, F. & Lancieri, L. (2018). Predicting and Assessing Student Motivation and Autonomy in a Distance Learning Context. In T. Bastiaens, J. Van Braak, M. Brown, L. Cantoni, M. Castro, R. Christensen, G. Davidson-Shivers, K. DePryck, M. Ebner, M. Fominykh, C. Fulford, S. Hatzipanagos, G. Knezek, K. Kreijns, G. Marks, E. Sointu, E. Korsgaard Sorensen, J. Viteli, J. Voogt, P. Weber, E. Weippl & O. Zawacki-Richter (Eds.), Proceedings of EdMedia: World Conference on Educational Media and Technology (pp. 63-68). Amsterdam, Netherlands: Association for the Advancement of Computing in Education (AACE).
© 2018 Association for the Advancement of Computing in Education (AACE)
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