感知教师支持在学生程序设计学习态度和流畅体验中的作用:小学生多群体分析

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Education Pub Date : 2025-01-14 DOI:10.1016/j.compedu.2025.105249
Siu Cheung Kong, Ting Jun Lin, Yee Man Kayla Siu
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引用次数: 0

摘要

编程教育已经成为小学必不可少的一部分,然而不同成绩水平的学生对编程的认知差异很大。虽然老师的支持对学习至关重要,但很少有人知道它是如何影响学生的态度和在编程教育中不同成就群体的流动体验的。本研究考察了不同成就水平的编程学习中教师支持感知、学生态度和心流体验之间的相互关系。数据是通过对香港43所小学的549名学生进行调查收集的。学生们根据他们的编程成就水平分为三组:高于平均水平、平均水平和低于平均水平。采用多组中介分析来检验变量之间的关系。高于平均水平的一组在所有变量上都比其他组表现出更积极的看法。学生态度在教师支持感知与心流体验之间的中介作用在不同成就组中存在差异。研究结果强调了不同成就层次的教师支持策略的重要性,并表明培养对编程的积极态度对所有成就水平都至关重要,特别是通过提高编程的感知有用性。
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The role of perceived teacher support in students’ attitudes towards and flow experience in programming learning: A multi-group analysis of primary students
Programming education has become essential in primary schools, yet students' perceptions vary significantly across different achievement levels. While teacher support is crucial for learning, little is known about how it influences students' attitudes and flow experience across different achievement groups in programming education. This study examined the interrelationships among perceived teacher support, students' attitudes, and flow experience in programming learning across different achievement levels. Data were collected through surveys from 549 students across 43 Hong Kong primary schools. Students were categorised into three groups based on their programming achievement levels: above-average, average, and below-average. A multi-group mediation analysis was conducted to examine the relationships between variables. The above-average group showed significantly more positive perceptions across all variables than other groups. Students’ attitudes mediated the relationship between perceived teacher support and flow experience differently across achievement groups. The findings highlight the importance of differentiated teacher support strategies across achievement tiers and suggest that fostering positive attitudes towards programming is crucial for all achievement levels, particularly through enhancing the perceived usefulness of programming.
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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
期刊最新文献
Explicit video-based instruction enhanced students’ online credibility evaluation skills: Did storifying instruction matter? Can AI support human grading? Examining machine attention and confidence in short answer scoring The role of perceived teacher support in students’ attitudes towards and flow experience in programming learning: A multi-group analysis of primary students A Topical Review of Research in Computer-Supported Collaborative Learning: Questions and Possibilities How do Chinese undergraduates harness the potential of appraisal and emotions in generative AI-Powered learning? A multigroup analysis based on appraisal theory
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