A Multi-Method Approach to Capture Quality of Collaborative Group Engagement

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2023
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04B - Conference paper
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Proceedings of the Annual Meeting of the International Society of the Learning Sciences ISLS
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The International Society of the Learning Sciences (ISLS)
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Montréal, Canada
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Abstract
Multi-method approaches are an emerging trend in CSCL research as they allow to paint a more comprehensive picture of complex group learning processes than using a single method. In this contribution, we combined measures from different data sources to capture the quality of collaborative group engagement (QCGE) in CSCL-groups: QCGE-self-assessments, QCGE-ratings of verbal group communication, and video recorded nonverbal group behaviors. Using different methods of analysis, we visualized, described, and analyzed the data and related the measures to each other. Here, we present results suggesting that measures from different data sources are interrelated: For instance, nonverbal behavior (like nodding the head) is related to high QCGE-ratings of verbal communications. Results are preliminary and show disparities, too. Yet, we conclude that the multi-method approach results in a more comprehensive understanding of QCGE. Feasibility and suitability of the multi-method approach are discussed and conclusions for future research are drawn.
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Annual Meeting of the International Society of the Learning Sciences ISLS
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English
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Yes
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Published
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Gold
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'https://creativecommons.org/licenses/by/4.0/'
Citation
Paneth, L., Jeitziner, L. T., Rack, O., & Zahn, C. (2023). A Multi-Method Approach to Capture Quality of Collaborative Group Engagement. Proceedings of the Annual Meeting of the International Society of the Learning Sciences ISLS. Annual Meeting of the International Society of the Learning Sciences ISLS. https://doi.org/10.26041/fhnw-5468

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