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Investigating sequence patterns of collaborative problem-solving behavior in the online collaborative discussion activity

Journal Article


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Abstract


  • Collaborative problem solving (CPS) is an influential human behavior affecting working

    performance and well-being. Previous studies examined CPS behavior from the perspective of either

    social or cognitive dimensions, which leave a research gap from the interactive perspective. In addition,

    the traditional sequence analysis method failed to combine time sequences and sub-problem sequences

    together while analyzing behavioral patterns in CPS. This study proposes a developed schema for

    the multidimensional analysis of CPS. A combination sequential analysis approach that comprises

    time sequences and sub-problem sequences is also employed to explore CPS patterns. A total of

    191 students were recruited and randomly grouped into 38 teams (four to six students per team)

    in the online collaborative discussion activity. Their discussion transcripts were coded while they

    conducted CPS, followed by the assessment of high- and low- performance groups according to the

    developed schema and sequential analysis. With the help of the new analysis method, the findings

    indicate that a deep exploratory discussion is generated from conflicting viewpoints, which promotes

    improved problem-solving outcomes and perceptions. In addition, evidence-based rationalization

    can motivate collaborative behavior effectively. The results demonstrated the potential power of

    automatic sequential analysis with multidimensional behavior and its ability to provide quantitative

    descriptions of group interactions in the investigated threaded discussions.

UOW Authors


  •   Zheng, Yafeng (external author)
  •   Bao, Haogang (external author)
  •   Shen, Jun
  •   Zhai, Xuesong (external author)

Publication Date


  • 2020

Citation


  • Zheng, Y., Bao, H., Shen, J. & Zhai, X. (2020). Investigating sequence patterns of collaborative problem-solving behavior in the online collaborative discussion activity. Sustainability, 12 (20), 8522-1-8522-17.

Scopus Eid


  • 2-s2.0-85092934544

Ro Full-text Url


  • https://ro.uow.edu.au/cgi/viewcontent.cgi?article=5475&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/4446

Start Page


  • 8522-1

End Page


  • 8522-17

Volume


  • 12

Issue


  • 20

Place Of Publication


  • Switzerland

Abstract


  • Collaborative problem solving (CPS) is an influential human behavior affecting working

    performance and well-being. Previous studies examined CPS behavior from the perspective of either

    social or cognitive dimensions, which leave a research gap from the interactive perspective. In addition,

    the traditional sequence analysis method failed to combine time sequences and sub-problem sequences

    together while analyzing behavioral patterns in CPS. This study proposes a developed schema for

    the multidimensional analysis of CPS. A combination sequential analysis approach that comprises

    time sequences and sub-problem sequences is also employed to explore CPS patterns. A total of

    191 students were recruited and randomly grouped into 38 teams (four to six students per team)

    in the online collaborative discussion activity. Their discussion transcripts were coded while they

    conducted CPS, followed by the assessment of high- and low- performance groups according to the

    developed schema and sequential analysis. With the help of the new analysis method, the findings

    indicate that a deep exploratory discussion is generated from conflicting viewpoints, which promotes

    improved problem-solving outcomes and perceptions. In addition, evidence-based rationalization

    can motivate collaborative behavior effectively. The results demonstrated the potential power of

    automatic sequential analysis with multidimensional behavior and its ability to provide quantitative

    descriptions of group interactions in the investigated threaded discussions.

UOW Authors


  •   Zheng, Yafeng (external author)
  •   Bao, Haogang (external author)
  •   Shen, Jun
  •   Zhai, Xuesong (external author)

Publication Date


  • 2020

Citation


  • Zheng, Y., Bao, H., Shen, J. & Zhai, X. (2020). Investigating sequence patterns of collaborative problem-solving behavior in the online collaborative discussion activity. Sustainability, 12 (20), 8522-1-8522-17.

Scopus Eid


  • 2-s2.0-85092934544

Ro Full-text Url


  • https://ro.uow.edu.au/cgi/viewcontent.cgi?article=5475&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/4446

Start Page


  • 8522-1

End Page


  • 8522-17

Volume


  • 12

Issue


  • 20

Place Of Publication


  • Switzerland