Skip to main content

Students’ Collaboration Patterns in a Productive Failure Setting: An Epistemic Network Analysis of Contrasting Cases

  • Conference paper
  • First Online:
Advances in Quantitative Ethnography (ICQE 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1112))

Included in the following conference series:

Abstract

In this paper, we aim at uncovering collaborative problem-solving patterns associated with students’ successful learning of social sciences research methods in a Productive Failure (PF) setting. We report an epistemic network analysis (ENA) of PF students’ conversations. Conversations are compared between PF groups that generated high quality solution ideas (HQ groups) and groups that developed low quality solution ideas (LQ groups). The ENA results demonstrate significantly different patterns. The collaborative problem solving of four HQ triads in a PF setting is characterized by debates and elaborations related to canonical contents of the targeted learning concept. The collaborative problem solving of four LQ triads is featured by task-pursuance actions and elaborations related to the instructions and contents stated in the worksheet. We also compared the eight groups based on their learning outcome (i.e., performance on a knowledge test). The comparison of four groups with a high learning outcome and of four groups with a low learning outcome revealed similar ENA results as the comparison of the HQ and LQ groups. These findings offer empirical evidence for the often hypothesized but rarely supported notion of certain collaborative problem-solving processes being important for the effectiveness of PF. The potential relevance of the collaborative problem-solving patterns of HQ groups for learning in a PF setting is discussed in light of mechanisms hypothesized to underlie the PF effect.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

  1. Kapur, M.: Learning from productive failure. Learn. Res. Pract. 1(1), 51–65 (2015)

    Article  Google Scholar 

  2. Loibl, K., Roll, I., Rummel, N.: Towards a theory of when and how problem solving followed by instruction supports learning. Educ. Psychol. Rev. 29(4), 693–715 (2017)

    Article  Google Scholar 

  3. Kapur, M.: Examining productive failure, productive success, unproductive failure, and unproductive success in learning. Educ. Psychol. 51(2), 289–299 (2016)

    Article  Google Scholar 

  4. Kapur, M., Bielaczyc, K.: Designing for productive failure. J. Learn. Sci. 21(1), 45–83 (2012)

    Article  Google Scholar 

  5. Weaver, J.P., Chastain, R.J., DeCaro, D.A., DeCaro, M.S.: Reverse the routine: problem solving before instruction improves conceptual knowledge in undergraduate physics. Contemp. Educ. Psychol. 52, 36–47 (2018)

    Article  Google Scholar 

  6. Shaffer, D.W., Collier, W., Ruis, A.R.: A tutorial on epistemic network analysis: analyzing the structure of connections in cognitive, social, and interaction data. J. Learn. Anal. 3(3), 9–45 (2016)

    Article  Google Scholar 

  7. Mazziotti, C., Rummel, N., Deiglmayr, A., Loibl, K.: Probing boundary conditions of Productive Failure and analyzing the role of young students’ collaboration. npj Sci. Learn. 4(2), 1–9 (2019)

    Google Scholar 

  8. Dillenbourg, P., Baker, M., Blaye, A., O’Malley, C.: The evolution of research on collaborative learning. In: Spada, H., Reiman, P. (eds.) Learning in Humans and Machine: Towards an Interdisciplinary Learning Science, pp. 189–211. Elsevier, Oxford (1996)

    Google Scholar 

  9. Hartmann, C., Rummel, N., Loibl, K.: Communication patterns and their role for conceptual knowledge acquisition from productive failure. In: Looi, C.K., Polman, J., Cress, U., Reimann, P. (eds.) Proceedings of the 12th International Conference of the Learning Sciences, vol. I, pp. 530–537. International Society of the Learning Sciences, Singapore (2016)

    Google Scholar 

  10. Nachtigall, V., Rummel, N., Serova, K.: Authentisch ist nicht gleich authentisch–Wie Schülerinnen und Schüler die Authentizität von Lernaktivitäten im Schülerlabor einschätzen [Authentic Does not Equal Authentic – How Students Evaluate the Authenticity of Learning Activities in an Out-of-School Lab]. Unterrichtswissenschaft 46(3), 299–319 (2018)

    Article  Google Scholar 

  11. Loibl, K., Rummel, N.: The impact of guidance during problem solving prior to instruction on students’ inventions and learning outcomes. Instr. Sci. 42(3), 305–326 (2014)

    Article  Google Scholar 

  12. Nachtigall, V., Serova, K., Rummel, N.: When Failure Fails to be Productive – Probing the Effectiveness of Productive Failure for Learning Beyond STEM Domains (submitted)

    Google Scholar 

  13. Marquart, C.L., Swiecki, Z, Eagan, B., Shaffer, D.W.: ncodeR: techniques for automated classifiers. R package version 0.1.2 (2018). https://CRAN.R-project.org/package=ncodeR. Accessed 24 July 2019

  14. Landis, J.R., Koch, G.G.: The measurement of observer agreement for categorical data. Biometrics 33(1), 159–174 (1977)

    Article  Google Scholar 

  15. Shaffer, D.W.: Quantitative Ethnography. Cathcart Press, Madison (2017)

    Google Scholar 

Download references

Acknowledgements

The data analyzed in this paper are part of a project that the first author conducted in cooperation with Prof. Dr. Nikol Rummel and Dr. Katja Serova at the Institute of Educational Research at Ruhr-University Bochum (RUB). We want to acknowledge their input and support with respect to, for instance, the study design. We also want to thank the Research School at RUB for funding a research stay at the Educational Psychology Department at University Wisconsin-Madison. The research stay allowed the first author to visit the lab of Prof. Dr. David W. Shaffer and made this joint publication possible. This work was funded in part by the National Science Foundation (DRL-1661036, DRL-1713110), the Wisconsin Alumni Research Foundation, and the Office of the Vice Chancellor for Research and Graduate Education at the University of Wisconsin-Madison. The opinions, findings, and conclusions do not reflect the views of the funding agencies, cooperating institutions, or other individuals.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Valentina Nachtigall .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nachtigall, V., Sung, H. (2019). Students’ Collaboration Patterns in a Productive Failure Setting: An Epistemic Network Analysis of Contrasting Cases. In: Eagan, B., Misfeldt, M., Siebert-Evenstone, A. (eds) Advances in Quantitative Ethnography. ICQE 2019. Communications in Computer and Information Science, vol 1112. Springer, Cham. https://doi.org/10.1007/978-3-030-33232-7_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-33232-7_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33231-0

  • Online ISBN: 978-3-030-33232-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics