Contribution: This article has shown that self-efficacy in performing complex computer programming tasks and the self-regulation of electrical and electronics engineering undergraduate students varies with respect to the class standing and prior experience in computer programming. Background: Computer programming is an essential skill that all engineers must possess, as most industries require engineers to own this skill. Prior studies discuss programming self-efficacy (PSE) measures; however, these studies do not specifically measure the PSE of electrical and electronics engineering major in the Indian context. Research Questions: The overarching research question of this article is: What factors related to participants’ demographics, vicarious experiences, and performance accomplishments influence the PSE of electrical and electronics engineering students in India? Methodology: To answer the above research question, a study is conducted using quantitative methods in engineering education research. This article focuses on the development of a survey instrument to measure the PSE of electrical and electronics engineering students of India. The survey includes a total of 31 items, content validity and face validity were established. An exploratory factor analysis was conducted, and the final two factors are “basic programming tasks and dependence” and “complex programming tasks and self-regulation.” A multiple regression analysis was performed to find the best fitting model for the two factors. Findings: The regression model with “basic programming tasks and dependence” was not statistically significant and the regression model with “complex programming tasks and self-regulation” was found to be statistically significant with predictors class standing and prior programming experience.

中文翻译：

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测量电气与电子工程专业学生的编程自我效能感

贡献：本文表明，执行复杂计算机编程任务的自我效能感和电气和电子工程本科生的自我调节能力因计算机编程的班级地位和先前经验而异。背景：计算机编程是所有工程师都必须具备的一项基本技能，因为大多数行业都要求工程师拥有这项技能。先前的研究讨论了编程自我效能 (PSE) 措施；然而，这些研究并没有专门衡量印度背景下电气和电子工程专业的 PSE。研究问题：本文的首要研究问题是：哪些因素与参与者的人口统计学、替代经历、和绩效成就会影响印度电气和电子工程专业学生的 PSE？方法论：为了回答上述研究问题，在工程教育研究中使用定量方法进行了一项研究。本文侧重于开发一种用于测量印度电气和电子工程专业学生 PSE 的调查工具。调查共包括31个项目，内容效度和表面效度被建立。进行了探索性因素分析，最后两个因素是“基本编程任务和依赖性”和“复杂编程任务和自我调节”。进行多元回归分析以找到两个因素的最佳拟合模型。发现：