Levels of problem-solving competency identified through Bebras Computing Challenge

被引:0
作者
Kyungbin Kwon
Jongpil Cheon
Hyunchang Moon
机构
[1] Indiana University,Instructional Systems Technology
[2] Texas Tech University,Instructional Technology
[3] Texas Tech University,Teacher Education Department
来源
Education and Information Technologies | 2021年 / 26卷
关键词
Bebras Computing Challenge; Computational thinking; Problem-solving; CT assessment;
D O I
暂无
中图分类号
学科分类号
摘要
As computational thinking (CT) gains more attention in K-16 education, problem-solving has been more emphasized as a core competency that can be found across various domains. To develop an evaluation framework that reveals students’ problem-solving competency, this study examined solutions for the Bebras Computing Challenge which requires students to utilize problem-solving skills in a CT domain. A total of 246 solutions of three Bebras tasks were analyzed based on a qualitative content analysis method and four levels of solutions were identified. The solution levels revealed how students (1) failed to understand a problem (No solution), (2) solved the problem but failed to identify the pattern (Premature level), (3) identified principles embedded in the problem but failed to apply them to devise an automized solution (Intermediate level), and (4) identified principles and solved the problem by applying them (Advanced level). This study presented solution levels across Bebras tasks and discussed how task difficulty affected student solutions differently. Implications for teaching problem-solving skills were discussed.
引用
收藏
页码:5477 / 5498
页数:21
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