计算思维发展在线教学模式的构建与验证——以高中信息技术课程为例

Q3 Social Sciences
Hairu Yang, Qiuhong Li, Jiamin Dong, X. Bai, Minghan Cai, Xiangnan Xu
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引用次数: 0

摘要

在信息时代,在线教学将逐渐成为现代教育信息化时代的必然趋势。网络教学具有操作简便、资源丰富等优点,但对教学模式和教学内容的设计要求较高。计算思维作为IT教学的核心理念,强调IT学习的长远发展和深度发展,对学生提高自我、培养能力发展具有重要的现实意义。那么在高中IT课程的在线教学中,如何构建适合学生发展的在线教学模式,达到有效培养学生计算思维的目的呢?本研究结合具体教学,以建构主义理论、最近发展区理论、情境认知等理论为指导,运用文献研究法、问卷调查法、准实验研究法等研究方法,对面向计算思维培养的高中信息技术在线教学模式的构建与验证进行了研究。研究结果表明,通过对学生学习成绩和计算思维的考核,发现所提出的教学模式对学生的学习成绩和计算思维有显著的促进作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction and Validation of an Online Teaching Model for the Development of Computational Thinking: Take high school information technology course as an example
In the information age, online teaching will gradually become an inevitable trend in the era of modern education informatization. Online teaching has the advantages of easy operation and abundant resources, but it has higher requirements for the design of teaching mode and teaching content. Computational thinking, as the core idea of IT teaching, emphasizes the long-term development and deep development of IT learning, which has great practical significance for students to improve themselves and cultivate their ability development. So in the online teaching of high school IT courses, how to build an online teaching mode suitable for students' development and achieve the purpose of effectively cultivating students' computational thinking? This study combines specific teaching, guided by constructivist theory, nearest developmental zone theory, situational cognition and other theories, and uses literature research method, questionnaire survey method, quasi-experimental research method and other research methods to conduct a study on the construction and validation of online teaching model of high school information technology geared to the cultivation of computational thinking. The results of the study showed that the proposed teaching model was found to have a significant promotion effect on students' academic performance and computational thinking through the examination of students' academic performance and computational thinking.
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CiteScore
1.70
自引率
0.00%
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