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

  • Valguima Odakura
  • , Ishari Amarasinghe
  • , Davinia Hernández-Leo
  • , Roberto Sánchez-Reina
  • , Emily Theophilou
  • , René Lobo-Quintero

Producción científica: Libro / Capitulo del libro / InformeLibros de Investigaciónrevisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaCollaboration Technologies and Social Computing - 28th International Conference, CollabTech 2022, Proceedings
EditoresLung-Hsiang Wong, Yugo Hayashi, Cesar A. Collazos, Claudio Alvarez, Gustavo Zurita, Nelson Baloian
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas23-37
Número de páginas15
ISBN (versión impresa)9783031202179
DOI
EstadoPublicada - 2022
Publicado de forma externa
Evento28th International Conference on Collaboration Technologies and Social Computing, CollabTech 2022 - Santiago, Chile
Duración: 8 nov 202211 nov 2022

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen13632 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia28th International Conference on Collaboration Technologies and Social Computing, CollabTech 2022
País/TerritorioChile
CiudadSantiago
Período8/11/2211/11/22

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