TY - JOUR
T1 - Using Collaboration Engineering to Mitigate Low Participation, Distraction, and Learning Inefficiency to Support Collaborative Learning in Industry
AU - Cheng, Xusen
AU - Fu, Shixuan
AU - de Vreede, Gert Jan
AU - Li, Yuanyuan
N1 - Publisher Copyright:
© 2020, Springer Nature B.V.
PY - 2021/2
Y1 - 2021/2
N2 - 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.
AB - 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.
KW - Attention
KW - Collaboration engineering
KW - Collaboration support system
KW - Computer-supported collaborative learning
KW - Efficiency
KW - Participation
UR - http://www.scopus.com/inward/record.url?scp=85091732707&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091732707&partnerID=8YFLogxK
U2 - 10.1007/s10726-020-09711-0
DO - 10.1007/s10726-020-09711-0
M3 - Article
AN - SCOPUS:85091732707
SN - 0926-2644
VL - 30
SP - 171
EP - 190
JO - Group Decision and Negotiation
JF - Group Decision and Negotiation
IS - 1
ER -