Abstract
In this chapter, we present a view of problem solving as a bundle of skills, knowledge and abilities that are required to deal effectively with complex non-routine situations in different domains. This includes cognitive aspects of problem solving, such as causal reasoning, model building, rule induction, and information integration. These abilities are comparatively well covered by existing tests and relate to existing theories. However, non-cognitive components, such as motivation, self-regulation and social skills, which are clearly important for real-life problem solving have only just begun to be covered in assessment. We conclude that currently there is no single assessment instrument that captures problem solving competency in a comprehensive way and that a number of challenges must be overcome to cover a construct of this breadth effectively. Research on some important components of problem solving is still underdeveloped and will need to be expanded before we can claim a thorough, scientifically backed understanding of real-world problem solving. We suggest that a focus on handling and acting within complex systems (systems competency) may be a suitable starting point for such an integrative approach.
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References
Alison, L., van den Heuvel, C., Waring, S., Power, N., Long, A., O’Hara, T., & Crego, J. (2013). Immersive simulated learning environments for researching critical incidents: A knowledge synthesis of the literature and experiences of studying high-risk strategic decision making. Journal of Cognitive Engineering and Decision Making, 7(3), 255–272. doi:10.1177/1555343412468113.
Barth, C. M., & Funke, J. (2010). Negative affective environments improve complex solving performance. Cognition & Emotion, 24, 1259–1268. doi:10.1080/02699930903223766.
Betsch, T., & Haberstroh, S. (Eds.). (2005). The routines of decision making. Mahwah: Erlbaum.
Brehmer, B. (1996). Man as a stabiliser of systems: From static snapshots of judgment processes to dynamic decision making. Thinking and Reasoning, 2, 225–238. doi:10.1080/135467896394528.
Brehmer, B. (2005). Micro-worlds and the circular relation between people and their environment. Theoretical Issues in Ergonomics Science, 6(1), 73–93. doi:10.1080/14639220512331311580.
Broadbent, D. E., & Aston, B. (1978). Human control of a simulated economic system. Ergonomics, 21, 1035–1043.
Chang, E. C., D’Zurilla, T. J., & Sanna, L. J. (Eds.). (2004). Social problem solving: Theory, research, and training. Washington, DC: APA.
Csapó, B., & Funke, J. (Eds.). (2017). The nature of problem solving. Using research to inspire 21st centurylearning. Paris: OECD Publishing. doi:10.1787/9789264273955-en.
Danner, D., Hagemann, D., Holt, D. V., Hager, M., Schankin, A., Wüstenberg, S., & Funke, J. (2011). Measuring performance in a complex problem solving task: Reliability and validity of the tailorshop simulation. Journal of Individual Differences, 32, 225–233. doi:10.1027/1614-0001/a000055.
Dörner, D. (1975). Wie Menschen eine Welt verbessern wollten [How people wanted to improve a world]. Bild der Wissenschaft, 12, 48–53.
Dörner, D. (1997). The logic of failure. Recognizing and avoiding error in complex situations. New York: Basic Books.
Dörner, D., & Reither, F. (1978). Über das Problemlösen in sehr komplexen Realitätsbereichen [On problem solving in very complex domains of reality]. Zeitschrift für Experimentelle und Angewandte Psychologie, 25, 527–551.
Dörner, D., & Funke, J. (2017). Complex problem solving: What it is and what it is not. Frontiers in Psychology, 8,1153. doi:10.3389/fpsyg.2017.01153.
Duncker, K. (1935). Zur Psychologie des produktiven Denkens [On the psychology of productive thinking]. Berlin: Julius Springer.
Edwards, W. (1962). Dynamic decision theory and probabilistic information processing. Human Factors, 4, 59–73.
Fiedler, K. (2001). Affective states trigger processes of assimilation and accomodation. In L. L. Martin & G. L. Clore (Eds.), Theories of mood and cognition: A user’s guidebook (pp. 85–98). Mahwah: Erlbaum.
Fischer, A. (2015). Assessment of problem solving skills by means of multiple complex systems – Validity of finite automata and linear dynamic systems. Dissertation, Heidelberg: Heidelberg University.
Fischer, A., & Neubert, J. C. (2015). The multiple faces of complex problems: A model of problem solving competency and its implications for training and assessment. Journal of Dynamic Decision Making, 1(6), 1–14. https://doi.org/10.11588/jddm.2015.1.23945.
Fischer, A., Greiff, S., Wuestenberg, S., Fleischer, J., Buchwald, F., & Funke, J. (2015). Assessing analytic and interactive aspects of problem solving competency. Learning and Individual Differences, 39, 172–179. doi:10.1016/j.lindif.2015.02.008.
Fleck, J. I., & Weisberg, R. W. (2013). Insight versus analysis: Evidence for diverse methods in problem solving. Journal of Cognitive Psychology, 25, 436–463. doi:10.1080/20445911.2013.779248.
Forgas, J. P. (2007). When sad is better than happy: Negative affect can improve the quality and effectiveness of persuasive messages and social influence strategies. Journal of Experimental Social Psychology, 43, 513–528. doi:10.1016/j.jesp.2006.05.006.
Frensch, P. A., & Funke, J. (1995a). Definitions, traditions, and a general framework for understanding complex problem solving. In P. A. Frensch & J. Funke (Eds.), Complex problem solving: The European perspective (pp. 3–25). Hillsdale: Erlbaum.
Frensch, P. A., & Funke, J. (Eds.). (1995b). Complex problem solving: The european perspective. Hillsdale: Erlbaum.
Funke, J. (2010). Complex problem solving: A case for complex cognition? Cognitive Processing, 11(2), 133–142. doi:10.1007/s10339-009-0345-0.
Funke, J. (2014a). Analysis of minimal complex systems and complex problem solving require different forms of causal cognition. Frontiers in Psychology, 5, 739. doi:10.3389/fpsyg.2014.00739.
Funke, J. (2014b). Problem solving: What are the important questions? In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th annual conference of the cognitive science society (pp. 493–498). Austin: Cognitive Science Society.
Funke, J., Fischer, A., & Holt, D. V. (2017). When less is less: Solving multiple simple problems is not complex problem solving – A comment on Greiff et al. (2015). Journal of Intelligence, 5(1), 5. doi:10.3390/jintelligence5010005.
Greiff, S., & Neubert, J. C. (2014). On the relation of complex problem solving, personality, fluid intelligence, and academic achievement. Learning and Individual Differences, 36, 37–48. doi:10.1016/j.lindif.2014.08.003.
Greiff, S., Fischer, A., Wüstenberg, S., Sonnleitner, P., Brunner, M., & Martin, R. (2013a). A multitrait-multimethod study of assessment instruments for complex problem solving. Intelligence, 41, 579–596. doi:10.1016/j.intell.2013.07.012.
Greiff, S., Holt, D. V., & Funke, J. (2013b). Perspectives on problem solving in educational assessment: Analytical, interactive, and collaborative problem solving. Journal of Problem Solving, 6, 71–91. doi:10.7771/1932-6246.1153.
Greiff, S., Fischer, A., Stadler, M., & Wüstenberg, S. (2015). Assessing complex problem-solving skills with multiple complex systems. Thinking & Reasoning, 21(3), 356–382. https://doi.org/10.1080/13546783.2014.989263.
Griffin, P., & Care, E. (2015). The ATC21S method. In P. Griffin & E. Care (Eds.), Assessment and teaching of 21st century skills: Methods and approach (pp. 3–33). Dordrecht: Springer.
Heckman, J. J., & Rubinstein, Y. (2001). The importance of noncognitice skills: Lessons from the GED testing program. American Economic Review, 91(2), 145–149.
Heppner, P. P. (2008). Expanding the conceptualization and measurement of applied problem solving and coping: From stages to dimensions to the almost forgotten cultural context. American Psychologist, 63, 803–805. doi:10.1037/0003-066X.63.8.805.
Huber, O. (2012). Risky decisions: Active risk management. Current Directions in Psychological Science, 21(1), 26–30. doi:10.1177/0963721411422055.
Isen, A. M., Daubman, K. A., & Nowicki, G. P. (1987). Positive affect facilitates creative problem solving. Journal of Personality and Social Psychology, 52, 1122–1131.
Klein, G. (2008). Naturalistic decision making. Human Factors, 50, 456–460. doi:10.1518/001872008X288385.
Kriz, W. C. (2003). Creating effective learning environments and learning organizations through gaming simulation design. Simulation & Gaming, 34(4), 495–511. doi:10.1177/1046878103258201.
Kriz, W. C. (2008). A systemic-constructivist approach to the facilitation and debriefing of simulations and games. Simulation & Gaming, 41, 663–680. doi:10.1177/1046878108319867.
Leutner, D., Fleischer, J., Wirth, J., Greiff, S., & Funke, J. (2012). Analytische und dynamische Problemlösekompetenz im Lichte internationaler Schulleistungsvergleichsstudien: Untersuchungen zur Dimensionalität [Analytical and dynamic problem-solving competence from an international educational studies perspective. Analysis of dimensionality]. Psychologische Rundschau, 63, 34–42. doi:10.1026/0033-3042/a000108.
MacKinnon, A. J., & Wearing, A. J. (1980). Complexity and decision making. Behavioral Science, 25, 285–296.
McCarthy, J. (1956). The inversion of functions defined by Turing machines. In C. E. Shannon & J. McCarthy (Eds.), Automata studies (AM-34). Princeton: Princeton University Press.
Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs: Prentice-Hall.
O’Neil, H. F., Chuang, S., & Chung, G. K. W. K. (2003). Issues in the computer-based assessment of collaborative problem solving. Assessment in Education: Principles, Policy & Practice, 10(3), 361–373. doi:10.1080/0969594032000148190.
OECD. (2013). PISA 2012 assessment and analytical framework. Mathematics, reading, science, problem solving and financial literacy. Paris: OECD.
OECD. (2014). PISA 2012 results: Creative problem solving: Students’ skills in tackling real-life problems (Vol. V). Paris: OECD Publishing.
Rittel, H. W. J., & Webber, M. M. (1973). Dilemmas in a general theory of planning. Policy Sciences, 4, 155–169.
Schmidt, F. L., & Hunter, J. E. (1998). The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings. Psychological Bulletin, 124(2), 262–274. doi:10.1037/0033-2909.124.2.262.
Schoppek, W., & Fischer, A. (2015). Complex problem solving – single ability or complex phenomenon? Frontiers in Psychology, 6(1669), 1–4. https://doi.org/10.3389/fpsyg.2015.01669.
Selten, R., Pittnauer, S., & Hohnisch, M. (2012). Dealing with dynamic decision problems when knowledge of the environment is limited: An approach based on goal systems. Journal of Behavioral Decision Making, 25(5), 443–457. doi:10.1002/bdm.738.
Spering, M., Wagener, D., & Funke, J. (2005). The role of emotions in complex problem-solving. Cognition & Emotion, 19(8), 1252–1261. doi:10.1080/02699930500304886.
Sternberg, R. J., & Frensch, P. A. (Eds.). (1991). Complex problem solving: Principles and mechanisms. Hillsdale: Erlbaum.
Strohschneider, S., & Güss, D. (1999). The fate of the Moros: A cross-cultural exploration of strategies in complex and dynamic decision making. International Journal of Psychology, 34, 235–252.
Treffinger, D. J., Isaksen, S. G., & Dorval, K. B. (1994). Creative problem solving: An overview. In M. A. Runco (Ed.), Problem finding, problem solving and creativity (pp. 223–236). Norwood: Ablex.
Vester, F. (2007). The art of interconnected thinking. Ideas and tools for tackling complexity. Munich: MCB-Verlag.
Vollmeyer, R., & Rheinberg, F. (2000). Does motivation affect performance via persistence? Learning and Instruction, 10, 293–309. doi:10.1016/S0959-4752(99)00031-6.
Willis, S. L. (1996). Everyday problem solving. In J. E. Birren, K. W. Schaie, et al. (Eds.), Handbook of the psychology of aging (4th ed., pp. 287–307). San Diego: Academic.
Wood, C. (2006). The development of creative problem solving in chemistry. Chemistry Education Research and Practice, 7(2), 96–113. doi:10.1039/b6rp90003h.
Zelazo, P. D., Carter, A., Reznick, J. S., & Frye, D. (1997). Early development of executive function: A problem-solving framework. Review of General Psychology, 1(2), 198–226.
Acknowledgment
The authors wish to thank Bruce Beswick, Esther Care, and Mark Wilson for extensive and helpful comments to earlier versions of this manuscript. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be constructed as a potential conflict of interest. The research was supported by a grant from the German Research Foundation (DFG) to the first author (Az. Fu 173/14).
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Funke, J., Fischer, A., Holt, D.V. (2018). Competencies for Complexity: Problem Solving in the Twenty-First Century. In: Care, E., Griffin, P., Wilson, M. (eds) Assessment and Teaching of 21st Century Skills. Educational Assessment in an Information Age. Springer, Cham. https://doi.org/10.1007/978-3-319-65368-6_3
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