Abstract
This paper describes the analysis of collaborative mobile learning activities. We explore the use of learning analytics for the evaluation of the performance of students as individuals and the performance of teams. We argue that traditional metrics used for learning analytics can provide insight with respect to the quality of the activity and the learning outcome. We propose a way to integrate innovative mobile learning scenarios into traditional classrooms and to analyze collaborative learning activities on both the group and the individual level.
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Chounta, IA., Giemza, A., Hoppe, H.U. (2014). Multilevel Analysis of Collaborative Activities Based on a Mobile Learning Scenario for Real Classrooms. In: Yuizono, T., Zurita, G., Baloian, N., Inoue, T., Ogata, H. (eds) Collaboration Technologies and Social Computing. CollabTech 2014. Communications in Computer and Information Science, vol 460. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44651-5_12
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DOI: https://doi.org/10.1007/978-3-662-44651-5_12
Publisher Name: Springer, Berlin, Heidelberg
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