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.
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References
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
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)
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)
Dillenbourg, P.: Design for classroom orchestration. Comput. Educ. 69, 485–492 (2013)
Dufrene, C., Young, A.: Successful debriefing-best methods to achieve positive learning outcomes: a literature review. Nurse Educ. Today 34(3), 372–376 (2014)
Fanning, R.M., Gaba, D.M.: The role of debriefing in simulation-based learning. Simul. Healthc. 2(2), 115–125 (2007)
Franchina, V., Coco, G.L.: The influence of social media use on body image concerns. Int. J. Psychoanal. Educ. 10(1), 5–14 (2018)
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
Lederman, L.C.: Debriefing: toward a systematic assessment of theory and practice. Simul. Gaming 23(2), 145–160 (1992)
Manathunga, K., Hernández-Leo, D.: Authoring and enactment of mobile pyramid-based collaborative learning activities. Br. J. Edu. Technol. 49(2), 262–275 (2018)
Painter, D.T., Daniels, B.C., Jost, J.: Network analysis for the digital humanities: principles, problems, extensions. Isis 110(3), 538–554 (2019)
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)
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)
Thomas, D.R.: A general inductive approach for analyzing qualitative evaluation data. Am. J. Eval. 27(2), 237–246 (2006)
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)
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.
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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
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