Skip to main content

Dispositions for Collaborative Problem Solving

  • Chapter
  • First Online:
Assessing Contexts of Learning

Abstract

In this chapter we discuss student dispositions toward an emerging domain called “collaborative problem solving” (CPS), recently assessed by the Programme for International Student Assessment (PISA) in the field trial and in the main study. Here, “dispositions” refers to the attitudes to and experiences of collaboration seen emerging in the international PISA survey data in 15-year-olds. For the field trial’s noncognitive measures, nine CPS-related constructs were developed for the student and teacher questionnaires. Information was collected on the types of collaborative activities and the support that was available, in and out of the classroom, as well as on student experiences of and attitudes to collaboration. We provide a description of the constructs and demonstrate how their development was related to present and past PISA cognitive measures in problem solving and collaborative problem solving.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Adejumo, G., Duimering, R. P., & Zhong, Z. (2008). A balance theory approach to group problem solving. Social Networks, 30(1), 83–99.

    Article  Google Scholar 

  • Avouris, N., Dimitracopoulou, A., & Komis, V. (2003). On evaluation of collaborative problem solving: Methodological issues of interaction analysis. Journal of Computers in Human Behaviour, 19, 147–167.

    Article  Google Scholar 

  • Baker, M. J., & Lund, K. (1997). Promoting reflective interactions in a CSCL environment. Journal of Computer Assisted Learning, 13, 175–193.

    Article  Google Scholar 

  • Bell, S. T. (2007). Deep-level composition variables as predictors of team performance: A meta-analysis. Journal of Applied Psychology, 92(3), 595–615.

    Article  Google Scholar 

  • Binkley, M., Erstad, O., Herman, J., Raizen, S., Ripley, M., & Rumble, M. (2010). Assessment and teaching of 21st century skills: Defining 21st century skills. Learning and Technology World Forum 2010. White Paper released at the Learning and Technology World Forum 2010, London.

    Google Scholar 

  • Binkley, M., Erstad, O., Herman, J., Raizen, S., Ripley, M., Miller-Ricci, M., & Rumble, M. (2012). Defining twenty-first century skills. In P. Griffin, B. McGaw, & E. Care (Eds.), Assessment and teaching of 21st century skills (Vol. 1). Dordrecht: Springer.

    Google Scholar 

  • Cakır, M. P., Zemel, A., & Stahl, G. (2009). The joint organization of interaction within a multimodal CSCL medium. International Journal of Computer-Supported Collaborative Learning, 4(2), 115–149.

    Article  Google Scholar 

  • Cooke, N. J., Kiekel, P. A., Salas, E., Stout, R., Bowers, C., & Cannon- Bowers, J. (2003). Measuring team knowledge: A window to the cognitive underpinnings of team performance. Group Dynamics: Theory, Research and Practice, 7, 179–219.

    Article  Google Scholar 

  • Dillenbourg, P. (1999). What do you mean by collaborative learning? In P. Dillenbourg (Ed.), Collaborative-learning: Cognitive and computational approaches (pp. 1–19). Oxford: Elsevier.

    Google Scholar 

  • Dillenbourg, P., Baker, M., Blaye, A., & O’Malley, C. (1996). The evolution of research on collaborative learning. In E. Spada & P. Reiman (Eds.), Learning in humans and machine: Towards an interdisciplinary learning science (pp. 189–211). Oxford: Elsevier.

    Google Scholar 

  • Fisher, R., & Katz, J. E. (2000). Social-desirability bias and the validity of self-reported values. Psychology & Marketing, 17, 105–120.

    Article  Google Scholar 

  • Foltz, P. W., & Martin, M. J. (2008). Automated communication analysis of teams. In E. Salas, G. F. Goodwin, & S. Burke (Eds.), Team effectiveness in complex organisations and systems: Cross-disciplinary perspectives and approaches. New York: Routledge.

    Google Scholar 

  • Furnham, A. (1986). Response bias, social desirability and dissimulation. Personality and Individual Differences, 7(3), 385–400.

    Article  Google Scholar 

  • Graesser, A. C., Jeon, M., & Dufty, D. (2008). Agent technologies designed to facilitate interactive knowledge construction. Discourse Processes, 45, 298–322.

    Article  Google Scholar 

  • Griffin, P., McGaw, B., & Care, E. (Eds.). (2012). Assessment and teaching of 21st century skills. Dordrecht: Springer.

    Google Scholar 

  • Harris, T. C., & Barnes-Farrell, J. L. (1997). Components of teamwork: Impact on evaluations of contributions to work team effectiveness. Journal of Applied Social Psychology, 27(9), 1694–1715.

    Article  Google Scholar 

  • He, Jia, & Vijver, Fons van de (2016). Correcting for Scale Usage Differences among Latin American Countries, Portugal, and Spain in PISA (Corrigiendo las diferencias de uso de escala entre países de América Latina, Portugal y España en PISA). Revista ELectrónica de Investigación y EValuación Educativa, 22(1).

    Google Scholar 

  • Jordan, P. J., & Troth, A. C. (2004). Managing emotions during team problem solving: Emotional intelligence and conflict resolution. Human Performance, 17(2), 195–208.

    Article  Google Scholar 

  • Jude, N. (2016). The assessment of learning contexts in PISA. In S. Kuger, E. Klieme, N. Jude, & D. Kaplan (Eds.), Assessing contexts of learning: An international perspective. Dordrecht: Springer.

    Google Scholar 

  • King, M. F., & Bruner, G. C. (2000). Social desirability bias: A neglected aspect of validity testing. Psychology and Marketing, 17(2), 79–103.

    Article  Google Scholar 

  • Klein, C., DeRouin, R. E., & Salas, E. (2006). Uncovering workplace interpersonal skills: A review, framework, and research agenda. In G. P. Hodgkinson & J. K. Ford (Eds.), International review of industrial and organizational psychology (Vol. 21, pp. 80–126). New York: WIley & Sons, Ltd.

    Google Scholar 

  • Kuger, S., Jude, N., Klieme, E., & Kaplan, D. (2016). An introduction to the PISA 2015 field trial: Study design and analyses procedures. In S. Kuger, E. Klieme, N. Jude, & D. Kaplan (Eds.), Assessing contexts of learning: An international perspective. Dordrecht: Springer.

    Chapter  Google Scholar 

  • LePine, J. A., & Van Dyne, L. (2001). Voice and cooperative behavior as contrasting forms of contextual performance: Evidence of differential relationships with big five personality characteristics and cognitive ability. Journal of Applied Psychology, 86, 326–336.

    Article  Google Scholar 

  • Liberman, R. P., King, L. W., DeRisi, W. J., & McCann, M. (1975). Personal effectiveness: Guiding people to assert themselves and improve their social skills. Champaign: Research Press.

    Google Scholar 

  • Loughry, M., Moore, D., & Ohland, M. (2007). Development of a theory-based assessment of team member effectiveness. Educational and Psychological Measurement, 67(3), 505–524.

    Article  Google Scholar 

  • McDaniel, M. A., Morgeson, F. P., Finnegan, E. B., Campion, M. A., & Braverman, E. P. (2001). Use of situational judgment tests to predict job performance: A clarification of the literature. Journal of Applied Psychology, 86, 730–740.

    Article  Google Scholar 

  • McGivney, S., Smeaton, A. F., & Lee, H. (2008). The effect of personality on collaborative task performance and interaction. In E. Bertino & J. B. D. Joshe (Eds.), Collaborative computing: Networking, applications and worksharing. New York: Springer.

    Google Scholar 

  • O’Neill, T. A., & Kline, T. J. B. (2008). Personality as a predictor of teamwork: A business simulator study. North American Journal of Psychology, 10, 65–78.

    Google Scholar 

  • O’Neil, H. F., Chung, G., & Brown, R. (1997). Use of networked simulations as a context to measure team competencies. In H. F. O’Neil (Ed.), Workforce readiness: Competencies and assessment (pp. 411–452). Mahwah: Lawrence Erlbaum Associates.

    Google Scholar 

  • OECD. (2013). PISA 2015: Draft collaborative problem solving framework. http://www.oecd.org/pisa/pisaproducts/Draft PISA 2015 Collaborative Problem Solving Framework.pdf.

  • Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.

    Article  Google Scholar 

  • Rummel, N., & Spada, H. (2005). Learning to collaborate: An instructional approach to promoting collaborative problem solving in computer-mediated settings. Journal of the Learning Sciences, 14(2), 201–241. doi:10.1207/s15327809jls1402_2.

    Article  Google Scholar 

  • Stevens, M. J., & Campion, M. A. (1994). The knowledge, skills and ability requirements for teamwork: Implications for human resources management. Journal of Management, 20(2), 502–528.

    Article  Google Scholar 

  • Valentine, M. A., Nebhard, I. M., & Edmonson, A. C. (2015). Measuring teamwork in health care settings: A review of survey instruments. Medical Care, 53(4), 16–30.

    Google Scholar 

  • Vogel, F., Wecker, C., Kollar, I., & Fischer, F. (2016). Socio-cognitive scaffolding with computer-supported collaboration scripts: A meta-analysis. Educational Psychology Review. doi:10.1007/s10648-016-9361-7.

    Google Scholar 

  • Wang, L., MacCann, C., Zhuang, X., Lydia Liu, O., & Roberts, D. R. (2009). Assessing teamwork and collaboration in high school students: A multimethod approach. Canadian Journal of School Psychology, 24(2), 108–124.

    Article  Google Scholar 

  • Wilson, M., & Scalise, K. (2012a). Measuring collaborative digital literacy. Paper presented at the Invitational Research Symposium on Technology Enhanced Assessments, Session on Measuring Problem Solving, Creativity, Communication, and Other Cross-Curricular 21st Century Skills within the Common Core State Standards, Washington, DC.

    Google Scholar 

  • Wilson, M., & Scalise, K. (2012b). Measuring collaborative digital literacy. Paper presented at the Invitational Research Symposium on Technology Enhanced Assessments, Washington, DC. http://www.k12center.org/events/research_meetings/tea.html.

  • Wilson, M., Scalise, K., & Gochyyev, P. (2015). Rethinking ICT literacy: From computer skills to social network settings. Thinking Skills and Creativity, 18, 65–80.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kathleen Scalise .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Scalise, K., Mustafic, M., Greiff, S. (2016). Dispositions for Collaborative Problem Solving. In: Kuger, S., Klieme, E., Jude, N., Kaplan, D. (eds) Assessing Contexts of Learning. Methodology of Educational Measurement and Assessment. Springer, Cham. https://doi.org/10.1007/978-3-319-45357-6_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-45357-6_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45356-9

  • Online ISBN: 978-3-319-45357-6

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics