Resumen

MAGNO DE JESUS, Ângelo  y  SILVEIRA, Ismar Frango. Gamebased collaborative learning framework for computational thinking development. Rev.fac.ing.univ. Antioquia [online]. 2021, n.99, pp.113-123. ISSN 0120-6230.  https://doi.org/10.17533/udea.redin.20200690.

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.

Palabras clave : Video games; computer science education; learning methods; group instruction.

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