Integrating Individual and Collective Skills: A Rubric-Based Model for Teamwork Competence Assessment

María Luisa Sein-Echaluce, Ángel Fidalgo-Blanco, Francisco José García-Peñalvo, David Fonseca Escudero

Research output: Book chapterConference contributionpeer-review

Abstract

The competence of teamwork comprises a set of skills that enable the assessment of teamwork evolution (collective skills) and the involvement of each team member (individual skills). In most research works, these skills are grouped without making this distinction between collective and individual skills. In this study, collective skills are associated with the different phases that constitute the evolution of teamwork, allowing for the identification of the precise moment when such a skill should be applied. Individual skills are applied in all phases of teamwork, as they measure individual involvement and responsibility, along with the competencies necessary at an individual level to develop teamwork. This work presents a rubric that associates phases, evidence, technology, and indicators and allows educators to measure the degree of acquisition of each and collective skill. The method used for the development of teamwork has been the Comprehensive Training Model of the Teamwork Competence, which supports both the continuous and transparent creation of evidence of teamwork development by the teams and each of their members, as well as the continuous monitoring of this development by educators.

Original languageEnglish
Title of host publicationLearning and Collaboration Technologies - 11th International Conference, LCT 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
EditorsPanayiotis Zaphiris, Andri Ioannou, Andri Ioannou
PublisherSpringer Science and Business Media Deutschland GmbH
Pages260-274
Number of pages15
ISBN (Print)9783031616716
DOIs
Publication statusPublished - 2024
Event11th International Conference on Learning and Collaboration Technologies, LCT 2024, held as part of the 26th International Conference on Human-Computer Interaction, HCII 2024 - Washington, United States
Duration: 29 Jun 20244 Jul 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14722 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Learning and Collaboration Technologies, LCT 2024, held as part of the 26th International Conference on Human-Computer Interaction, HCII 2024
Country/TerritoryUnited States
CityWashington
Period29/06/244/07/24

Keywords

  • Collective Skills
  • Comprehensive Training Model
  • CTMTC
  • Individual Skills
  • Rubric-Based Assessment
  • Teamwork Competence

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