Using Collaboration Engineering to Mitigate Low Participation, Distraction, and Learning Inefficiency to Support Collaborative Learning in Industry

Xusen Cheng, Shixuan Fu (), Gert-Jan Vreede and Yuanyuan Li
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Xusen Cheng: Renmin University of China
Shixuan Fu: Beijing International Studies University
Gert-Jan Vreede: University of South Florida
Yuanyuan Li: University of International Business and Economics

Group Decision and Negotiation, 2021, vol. 30, issue 1, No 8, 190 pages

Abstract: Abstract Computer-supported collaborative learning (CSCL) is widely adopted in industry learning, but it still faces challenges, including low participation, distraction, and learning inefficiency. In our study, we follow the design science research method to develop artifacts (a process and discussion platform) to address these CSCL challenges. Collaboration engineering was used as our design theory. A Discussion Platform was designed as a tool to help non-expert practitioner instruct collaborative learning process. We carried out evaluations on the two designed artifacts through 81 managers working in various industries through a mixed-method approach, including survey and qualitative interviews. We find that our designed artifacts receive high satisfaction in industry CSCL and reduce problems of low participation, distraction, and learning inefficiency. We identified several factors that contribute to the problem solving of low participation, distraction and inefficiency in industry CSCL, including usability, expression affordance, process guidance, goal clarity, flexibility affordance, thinkLet instruction, and flow experiences.

Keywords: Participation; Attention; Efficiency; Collaboration support system; Computer-supported collaborative learning; Collaboration engineering (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10726-020-09711-0

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