克朗巴赫阿尔法
计算思维
数学教育
性情
批判性思维
课程
构造(python库)
计算机知识
比例(比率)
计算机程序设计
计算机科学
可靠性(半导体)
心理学
教育学
心理测量学
发展心理学
社会心理学
操作系统
程序设计语言
功率(物理)
物理
量子力学
作者
Meng‐Jung Tsai,Ching-Yeh Wang
标识
DOI:10.1177/0735633120967326
摘要
To explore the role of design thinking in contemporary computer literacy education, this study aimed to examine the relationship between young students’ design thinking disposition and their computer programming self-efficacy. To assess students’ design thinking disposition, this study developed the Design Thinking Disposition Scale (DTDS) with a sample of 350 junior high school students who had computer programming experience in a STEAM course. A principle axis factor analysis with the promax rotation method was used to verify the DTDS’s construct under the four dimensions: empathize, define, ideate and prototype. The Cronbach’s alpha reliability was .90 for the overall scale. Correlation analyses results showed that all the four dimensions were significantly correlated with computer programming self-efficacy assessed by CPSES. A significant regression model was found in which the three factors, ideate, prototype and define, significantly predicted the overall computer programming self-efficacy. Meanwhile, except for the ideate subscale, no gender difference was found in the young students’ design thinking dispositions. The students’ self-directed programming learning experience was shown to benefit their design thinking disposition. The DTDS can be applied to design-thinking-embedded computer literacy curricula such as makers, STEAM, or robotics education. Several further studies are also suggested.
科研通智能强力驱动
Strongly Powered by AbleSci AI