Skip to main content

Effects of Debriefing in Computer-Supported Collaborative Learning Pyramid Scripts with Open-Ended Task

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13632))

Abstract

In this study we investigate the benefits that debriefing can add to collaborative Pyramid script with open-ended tasks. The open-ended task allows students to produce multiple possible solutions to a given problem and requires learners to express personal opinions based on previous experiences and intuitions. In this sense, misconceptions and gaps can appear in the collaboration process, demanding a teacher intervention. Debriefing, as part of teacher orchestration tasks, enables teachers to facilitate students’ reflection about the learning experience, correcting mistakes and filling gaps. Qualitative analysis of students’ answers through concepts and their relations was developed. The examination of concepts and relations supported the benefits of the Pyramid script with open-ended tasks and debriefing to learning. The results of the study indicate that students increased the concepts mentioned and built more relations between concepts after debriefinLg.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   84.99
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

Learn about institutional subscriptions

References

  1. Amarasinghe, I., Hernández-Leo, D., Theophilou, E., Roberto Sánchez Reina, J., Quintero, R.A.L.: Learning gains in pyramid computer-supported collaboration scripts: factors and implications for design. In: Hernández-Leo, D., Hishiyama, R., Zurita, G., Weyers, B., Nolte, A., Ogata, H. (eds.) CollabTech 2021. LNCS, vol. 12856, pp. 35–50. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-85071-5_3

    Chapter  Google Scholar 

  2. Amarasinghe, I., Hernández-Leo, D., Manathunga, K., Pérez, J.C., Dimitriadis, Y.: Teacher-led debriefing in computer-supported collaborative learning pyramid scripts. In: International Conference on Computer-Supported Collaborative Learning (CSCL). pp. 171–178. International Society of the Learning Sciences (2022)

    Google Scholar 

  3. Dillenbourg, P.: Over-scripting CSCL: the risks of blending collaborative learning with instructional design. Three worlds of CSCL. Can we support CSCL, vol. 61491 (2002)

    Google Scholar 

  4. Dillenbourg, P.: Design for classroom orchestration. Comput. Educ. 69, 485–492 (2013)

    Article  Google Scholar 

  5. Dufrene, C., Young, A.: Successful debriefing-best methods to achieve positive learning outcomes: a literature review. Nurse Educ. Today 34(3), 372–376 (2014)

    Article  Google Scholar 

  6. Fanning, R.M., Gaba, D.M.: The role of debriefing in simulation-based learning. Simul. Healthc. 2(2), 115–125 (2007)

    Article  Google Scholar 

  7. Franchina, V., Coco, G.L.: The influence of social media use on body image concerns. Int. J. Psychoanal. Educ. 10(1), 5–14 (2018)

    Google Scholar 

  8. Jermann, P., Dillenbourg, P.: Elaborating new arguments through a CSCL script. In: Andriessen, J., Baker, M., Suthers, D. (eds.) Arguing to Learn, vol. 1, pp. 205–226. Springer, Dordrecht (2003). https://doi.org/10.1007/978-94-017-0781-7_8

    Chapter  Google Scholar 

  9. Lederman, L.C.: Debriefing: toward a systematic assessment of theory and practice. Simul. Gaming 23(2), 145–160 (1992)

    Article  Google Scholar 

  10. Manathunga, K., Hernández-Leo, D.: Authoring and enactment of mobile pyramid-based collaborative learning activities. Br. J. Edu. Technol. 49(2), 262–275 (2018)

    Article  Google Scholar 

  11. Painter, D.T., Daniels, B.C., Jost, J.: Network analysis for the digital humanities: principles, problems, extensions. Isis 110(3), 538–554 (2019)

    Article  Google Scholar 

  12. Reja, U., Manfreda, K.L., Hlebec, V., Vehovar, V.: Open-ended vs. close-ended questions in web questionnaires. Dev. Appl. Stat. 19(1), 159–177 (2003)

    Google Scholar 

  13. Sawyer, T., Eppich, W., Brett-Fleegler, M., Grant, V., Cheng, A.: More than one way to debrief: a critical review of healthcare simulation debriefing methods. Simul. Healthc. 11(3), 209–217 (2016)

    Article  Google Scholar 

  14. Thomas, D.R.: A general inductive approach for analyzing qualitative evaluation data. Am. J. Eval. 27(2), 237–246 (2006)

    Article  Google Scholar 

  15. Tiggemann, M., Anderberg, I.: Social media is not real: The effect of ‘instagram vs reality’images on women’s social comparison and body image. New Media Soc. 22(12), 2183–2199 (2020)

    Article  Google Scholar 

Download references

Acknowledgements

This work has been partially supported by the grants PID2020-112584RB-C33, MDM-2015-0502 funded by MICIN/AEI/10.13039/501100011033 and the Volkswagen Stiftung (Courage, ref. 95 566). D. Hernández-Leo (Serra Húnter) acknowledges the support by ICREA under the ICREA Academia programme.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Valguima Odakura .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Odakura, V., Amarasinghe, I., Hernández-Leo, D., Sánchez-Reina, R., Theophilou, E., Lobo-Quintero, R. (2022). Effects of Debriefing in Computer-Supported Collaborative Learning Pyramid Scripts with Open-Ended Task. In: Wong, LH., Hayashi, Y., Collazos, C.A., Alvarez, C., Zurita, G., Baloian, N. (eds) Collaboration Technologies and Social Computing. CollabTech 2022. Lecture Notes in Computer Science, vol 13632. Springer, Cham. https://doi.org/10.1007/978-3-031-20218-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-20218-6_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20217-9

  • Online ISBN: 978-3-031-20218-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics