Approaches to Assess Computational Thinking Competences Based on Code Analysis in K-12 Education: A Systematic Mapping Study

被引:31
|
作者
Da Cruz Alves, Nathalia [1 ]
Gresse Von Wangenheim, Christiane [1 ]
Hauck, Jean C. R. [1 ]
机构
[1] Fed Univ Santa Catarina UFSC, Dept Informat & Stat INE, Florianopolis, SC, Brazil
来源
INFORMATICS IN EDUCATION | 2019年 / 18卷 / 01期
关键词
assessment; code analysis; block-based visual programming language; computational thinking; K-12; education; COMPUTER-SCIENCE; PROGRAMMING ASSIGNMENTS; ASSESSMENT LITERACY; DESIGN;
D O I
10.15388/infedu.2019.02
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
As computing has become an integral part of our world, demand for teaching computational thinking in K-12 has increased. One of its basic competences is programming, often taught by learning activities without a predefined solution using block-based visual programming languages. Automatic assessment tools can support teachers with their assessment and grading as well as guide students throughout their learning process. Although being already widely used in higher education, it remains unclear if such approaches exist for K-12 computing education. Thus, in order to obtain an overview, we performed a systematic mapping study. We identified 14 approaches, focusing on the analysis of the code created by the students inferring computational thinking competencies related to algorithms and programming. However, an evident lack of consensus on the assessment criteria and instructional feedback indicates the need for further research to support a wide application of computing education in K-12 schools.
引用
收藏
页码:17 / 39
页数:23
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