Zhou, Q;
Cukurova, M;
(2023)
Zoom lens: An MMLA framework for evaluating collaborative learning at both individual and group levels.
In:
Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems (MILeS 2023).
(pp. pp. 28-35).
CEUR Workshop Proceedings: Aveiro, Portugal.
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Abstract
Collaborative learning (CL) has been considered to have great potential to help learners with their cognitive development, problem-solving skills, and social interaction skills. However, the analysis and support of this complex process, which requires meaningful interactions among learners at cognitive, social, emotional and regulatory levels, need holistic investigations at multiple dimensions. In recent years, multimodal learning analytics (MMLA) used to provide such multidimensional investigations to generate insights into the process of CL as well as the automatic analysis of certain aspects of CL. Previous research studies suggested that the analysis of collaboration should take both individual and group levels into consideration, yet most existing research only focuses on one level ignoring the other. Group-level information is needed for the success of a group to observe interindividual aspects of collaboration. In addition, learners may also need information from the individual level to help them be aware of their own performance and realise personal development in CL. Therefore, this paper suggests an MMLA framework developed from the concept of "from clicks to constructs"for supporting CL from both individual and group levels which aims to act as a "zoom lens"to provide information about the process of CL from multiple levels and dimensions.
Type: | Proceedings paper |
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Title: | Zoom lens: An MMLA framework for evaluating collaborative learning at both individual and group levels |
Event: | Third International Workshop on Multimodal Immersive Learning Systems (MILeS 2023) |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://ceur-ws.org/Vol-3499/paper4.pdf |
Language: | English |
Additional information: | Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0). |
Keywords: | Face-to-face collaborative learning, Multimodal Learning Analytics |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media |
URI: | https://discovery.ucl.ac.uk/id/eprint/10182431 |
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