Revista Facultad de Ingeniería Universidad de Antioquia (Jun 2021)

Game-based collaborative learning framework for computational thinking development

  • Ángelo Magno De Jesús,
  • Ismar Frango Silveira

DOI
https://doi.org/10.17533/udea.redin.20200690
Journal volume & issue
no. 99

Abstract

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Computational Thinking (CT) can amplify learners’ skill sets so that they become excellent problem-solvers. Game-Based Learning and Collaborative Learning are two approaches that may aid in the development of CT skills. This paper describes a framework based on Game and Problem-Based Learning Strategies which aims to enhance the CT teaching and improves students’ social skills, considering aspects of fun. The framework stands out for including collaborative learning features defined in the main literature. Also, the strategy was developed specifically to fit the games’ dynamics. The approach was evaluated via metacognitive and transactive analysis and by a survey. The results showed evidence that the method is able to stimulate interaction among students to apply problem-solving strategies.

Keywords