课程
背景(考古学)
可靠性(半导体)
构造(python库)
结构效度
计算思维
计算机科学
心理学
医学教育
焦点小组
数学教育
心理测量学
教育学
医学
临床心理学
社会学
程序设计语言
生物
功率(物理)
古生物学
物理
量子力学
人类学
作者
Xiaodan Tang,Yue Yin,Qiao Lin,Roxana Hadad,Xiaoming Zhai
标识
DOI:10.1016/j.compedu.2019.103798
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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