Assessing computational thinking: A systematic review of empirical studies

被引:326
作者
Tang, Xiaodan [1 ]
Yin, Yue [1 ]
Lin, Qiao [1 ]
Hadad, Roxana [1 ,2 ,3 ]
Zhai, Xiaoming [4 ]
机构
[1] Univ Illinois, 1200 West Harrison St, Chicago, IL 60607 USA
[2] Univ Calif Los Angeles, 405 Hilgard Ave, Los Angeles, CA 90095 USA
[3] NE Illinois Univ, 5500 North St Louis Ave, Chicago, IL 60625 USA
[4] Michigan State Univ, 426 Auditorium Rd, E Lansing, MI 48824 USA
基金
美国国家科学基金会;
关键词
Evaluation methodologies; Teaching/learning strategies; Information literacy; Applications in subject areas; 21st century abilities; Computational thinking; PEDAGOGICAL CONTENT KNOWLEDGE; MIDDLE SCHOOL GIRLS; SELF-EFFICACY; ELEMENTARY STUDENTS; PRESERVICE TEACHERS; GAME DESIGN; SCIENCE; ROBOTICS; SKILLS; EXPLORATION;
D O I
10.1016/j.compedu.2019.103798
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With the increasing attention to Computational Thinking (CT) in education, there has been a concomitant rise of needs and interest in investigating how to assess CT skills. This study systematically reviewed how CT has been assessed in the literature. We reviewed 96 journal articles to analyze specific CT assessments from four perspectives: educational context, assessment construct, assessment type, and reliability and validity evidence. Our review results indicate that (a) more CT assessments are needed for high school, college students, and teacher professional development programs, (b) most CT assessments focus on students' programming or computing skills, (c) traditional tests and performance assessments are often used to assess CT skills, and surveys are used to measure students' CT dispositions, and (d) more reliability and validity evidence needs to be collected and reported in future studies. This review identifies current research gaps and future directions to conceptualize and assess CT skills, and the findings are expected to be beneficial for researchers, curriculum designers, and instructors.
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页数:22
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