ABSTRACT
Complex problem solving (CPS) is a critical skill with far-reaching implications for personal success and professional development. While CPS research has made extensive progress, additional investigation is needed to explore CPS processes beyond online contexts and performance outcomes. This study, conducted with Year 9 students aged between thirteen and fourteen, focuses on collaborative CPS. It utilises audio and video recordings to capture group communications during a CPS classroom activity. To analyse these interactions, we introduce a novel CPS framework as a dynamic, cognitive and social process involving interrelated main skills, sub-skills, and indicators. Through sequential pattern mining, we identify recurring subskill patterns that reflect CPS processes in an educational environment. Our research underscores the importance of employing diverse patterns before plan execution, particularly building shared knowledge, planning, and negotiation. We uncover patterns related to groups going off-task and highlight the significance of effective communication and maintaining focus for keeping groups on track. Furthermore, we indicate patterns following the detection of emergent issues, recognising the value of cultivating clarity and adaptability among team members. Our CPS framework, combined with our research results, offers practical implications for teaching, learning, and assessment approaches in educational, professional and industry sectors.
- Fiore, S. M., Graesser, A. and Greiff, S. Collaborative problem-solving education for the twenty-first-century workforce. Nature Human Behaviour, 2, 6 (2018/06/01 2018), 367-369.Google ScholarCross Ref
- Funke, J., Fischer, A. and Holt, D. Competencies for Complexity: Problem Solving in the Twenty-First Century. City, 2018.Google Scholar
- Dörner, D. and Funke, J. Complex Problem Solving: What It Is and What It Is Not. Frontiers in Psychology, 8, 1153 (2017-July-11 2017).Google ScholarCross Ref
- OECD. PISA 2012 Problem-solving framework. . 2013.Google Scholar
- Neubert, J. C., Mainert, J., Kretzschmar, A. and Greiff, S. The Assessment of 21st Century Skills in Industrial and Organizational Psychology: Complex and Collaborative Problem Solving. Industrial and Organizational Psychology, 8, 2 (2015), 238-268.Google Scholar
- OECD. PISA 2012 Results: Creative Problem Solving: Students’ Skills in Tackling Real-Life Problems (Volume V), PISA, OECD Publishing. 2014.Google Scholar
- Schoppek, W. and Fischer, A. Complex problem solving—single ability or complex phenomenon? Frontiers in Psychology, 6, 1669 (2015-November-05 2015).Google ScholarCross Ref
- Herborn, K., Stadler, M., Mustafić, M. and Greiff, S. The assessment of collaborative problem solving in PISA 2015: Can computer agents replace humans? Computers in Human Behavior, 104 (2020/03/01/ 2020), 105624.Google ScholarDigital Library
- Martin-Raugh, M. P., Kyllonen, P. C., Hao, J., Bacall, A., Becker, D., Kurzum, C., Yang, Z., Yan, F. and Barnwell, P. Negotiation as an interpersonal skill: Generalizability of negotiation outcomes and tactics across contexts at the individual and collective levels. Computers in Human Behavior, 104 (2020/03/01/ 2020), 105966.Google ScholarDigital Library
- Stoeffler, K., Rosen, Y., Bolsinova, M. and von Davier, A. Gamified Performance Assessment of Collaborative Problem Solving Skills. Computers in Human Behavior, 104 (05/01 2019).Google Scholar
- Song, Y., Cheng, B., Zhu, J. and Hu, X. Exploring the collective process of classroom dialogue using sequential pattern mining technique. International Journal of Educational Research, 115 (2022/01/01/ 2022), 102050.Google ScholarCross Ref
- Liu, T. and Israel, M. Uncovering students’ problem-solving processes in game-based learning environments. Computers & Education, 182 (2022/06/01/ 2022), 104462.Google ScholarDigital Library
- He, Q., Borgonovi, F. and Paccagnella, M. Leveraging process data to assess adults’ problem-solving skills: Using sequence mining to identify behavioral patterns across digital tasks. Computers & Education, 166 (2021/06/01/ 2021), 104170.Google ScholarCross Ref
- Zhang, Y. and Paquette, L. Sequential Pattern Mining in Educational Data: The Application Context, Potential, Strengths, and Limitations. Springer Nature Singapore, City, 2023.Google Scholar
- Zheng, J., Xing, W. and Zhu, G. Examining sequential patterns of self- and socially shared regulation of STEM learning in a CSCL environment. Computers & Education, 136 (2019/07/01/ 2019), 34-48.Google ScholarDigital Library
- Graesser, A., Kuo, B.-C. and Liao, C.-H. Complex Problem Solving in Assessments of Collaborative Problem Solving. Journal of Intelligence, 5, 2 (2017), 10.Google Scholar
- Zhu, G., Xing, W. and Popov, V. Uncovering the sequential patterns in transformative and non-transformative discourse during collaborative inquiry learning. The Internet and Higher Education, 41 (2019/04/01/ 2019), 51-61.Google ScholarCross Ref
- OECD. PISA 2015 Collborative problem-solving framework. 2017.Google Scholar
- Hesse, F., Care, E., Buder, J., Sassenberg, K. and Griffin, P. A Framework for Teachable Collaborative Problem Solving Skills. Springer Netherlands, City, 2015.Google Scholar
- Damşa, C. I. The multi-layered nature of small-group learning: Productive interactions in object-oriented collaboration. International Journal of Computer-Supported Collaborative Learning, 9, 3 (2014/09/01 2014), 247-281.Google ScholarCross Ref
- Sun, C., Shute, V. J., Stewart, A., Yonehiro, J., Duran, N. and D'Mello, S. Towards a generalized competency model of collaborative problem solving. Computers & Education, 143 (2020/01/01/ 2020), 103672.Google ScholarDigital Library
- Hesse, F., Care, E., Buder, J., Sassenberg, K. and Griffi, P. Chapter 2 A Framework for Teachable Collaborative Problem Solving Skills. City, 2017.Google Scholar
- Sun, C., Shute, V., Stewart, A., Beck-White, Q., Reinhardt, C., Zhou, G., Duran, N. and D'Mello, S. The relationship between collaborative problem solving behaviors and solution outcomes in a game-based learning environment. Computers in Human Behavior, 128 (11/01 2021), 107120.Google Scholar
- Fischer, A., Greiff, S. and Funke, J. The history of complex problem solving. City, 2017.Google Scholar
- Brennan, K. and Resnick, M. New frameworks for studying and assessing the development of computational thinking. City, 2012.Google Scholar
- Shute, V. J., Sun, C. and Asbell-Clarke, J. Demystifying computational thinking. Educational Research Review, 22 (2017/11/01/ 2017), 142-158.Google ScholarCross Ref
- Funke, J. Complex problem solving. Encyclopedia of the Sciences of Learning (682-685). Heidelberg: Springer (2012).Google Scholar
- Stoeffler, K., Rosen, Y., Bolsinova, M. and von Davier, A. A. Gamified performance assessment of collaborative problem solving skills. Computers in Human Behavior, 104 (2020/03/01/ 2020), 106036.Google ScholarDigital Library
- Bazerman, C., & Prior, P. (Eds.) What Writing Does and How It Does It: An Introduction to Analyzing Texts and Textual Practices (1st ed.). Routledge. , 2003.Google ScholarCross Ref
- Joksimović, S., Jovanović, J., Kovanović, V., Gašević, D., Milikić, N., Zouaq, A. and Staalduinen, J. P. v. Comprehensive Analysis of Discussion Forum Participation: From Speech Acts to Discussion Dynamics and Course Outcomes. IEEE Transactions on Learning Technologies, 13, 1 (2020), 38-51.Google ScholarCross Ref
- Strijbos, J.-W., Martens, R. L., Prins, F. J. and Jochems, W. M. G. Content analysis: What are they talking about? Computers & Education, 46, 1 (2006/01/01/ 2006), 29-48.Google ScholarCross Ref
- Agrawal, R. and Srikant, R. Mining Sequential Patterns. In Proceedings of the Proceedings of the Eleventh International Conference on Data Engineering (1995). IEEE Computer Society, [insert City of Publication],[insert 1995 of Publication].Google ScholarCross Ref
- Jian, P., Jiawei, H., Mortazavi-Asl, B., Jianyong, W., Pinto, H., Qiming, C., Dayal, U. and Mei-Chun, H. Mining sequential patterns by pattern-growth: the PrefixSpan approach. IEEE Transactions on Knowledge and Data Engineering, 16, 11 (2004), 1424-1440.Google Scholar
- Fournier Viger, P., Lin, C.-W., Rage, U., Koh, Y. S. and Thomas, R. A Survey of Sequential Pattern Mining. Data Science and Pattern Recognition, 1 (02/01 2017), 54-77.Google Scholar
Index Terms
- Quantifying Collaborative Complex Problem Solving in Classrooms using Learning Analytics
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