A Collaborative Game-Based Learning Framework to Improve Computational Thinking Skills

被引:1
|
作者
de Jesus, Angelo Magno [1 ,2 ]
Silveira, Ismar Frango [1 ,3 ]
机构
[1] Univ Cruzeiro Sul, Sao Paulo, SP, Brazil
[2] Inst Fed Minas Gerais, Belo Horizonte, MG, Brazil
[3] Univ Presbiteriana Mackenzie, Sao Paulo, SP, Brazil
关键词
Game-Based Learning; Collaborative Learning; Computational Thinking;
D O I
10.1109/ICVRV47840.2019.00038
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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 Collaborative Learning which aims to enhance the CT teaching that improves students' social skills in a fun way. The framework stands out by 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.
引用
收藏
页码:161 / 166
页数:6
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