Providing a Multi-fold Assessment Framework to Virtualized Collaborative Learning in Support for Engineering Education

Authors

DOI:

https://doi.org/10.3991/ijet.v11i07.5882

Abstract


In previous research we proposed a virtualization process of live collaborative sessions from Web discussion forums and chats with the aim to produce interactive and attractive online learning resources to be played by learners, thus having a positive effect in learner engagement. In order to enhance further learning engagement, in this paper we endow our virtualization process with a multifold assessment framework that provides effective awareness and constructive feedback to learners from the original collaborative interactions amongst group members. The re-search here presented focuses on e-assessment of collabora-tive and social learning and extends it with Learning Ana-lytics and Social Network Analysis techniques that are able to analyze and represent cognitive and social interactions underlying live collaborative sessions. The interaction data extracted from collaborative knowledge and social network-ing is integrated into the virtualized collaborative learning to produce an efficient and personalized awareness and feedback system about the collaborative activity and the so-cial behaviour of the original participants of live collabora-tion. This paper describes both the conceptual and methodological research to build our multi-fold e-assessment framework. The research is evaluated in real context of e-learning and validated by empirical data and interpretation

Author Biography

Santi Caballe, Open University of Catalonia

Associate professor at Faculty of Computer Science, Multimedia and Telecommunications

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Published

2016-07-21

How to Cite

Mora, N., Caballe, S., & Daradoumis, T. (2016). Providing a Multi-fold Assessment Framework to Virtualized Collaborative Learning in Support for Engineering Education. International Journal of Emerging Technologies in Learning (iJET), 11(07), pp. 41–51. https://doi.org/10.3991/ijet.v11i07.5882

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Section

Special Focus Papers