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Evaluation of Programming Competency Using Student Error Patterns

机译:使用学生错误模式评估编程能力

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Computer programming is a challenging skill that students in computer science and related disciplines are expected to learn. Computer science educators and students are concerned about the failures in programming competency. Programming errors reflect various details of student conceptual understanding and programming skills developed. This paper attempts to predict the failures in programming comprehension and debugging skills based on programming errors generated by the learner. We conduct a mixed method approach with pre-post test experimental design to evaluate the Java programming competency of the learner. We also compute the error metrics and supplement the course material to improve the competency through self-learning spoken tutorial workshops. The characterization of student programming patterns helps to identify at risk students and determine specific interventions. We analyze the compilation errors, computational time and computed Error Quotients to predict the programming behaviour. Results of the study show that students have improved their programming skills and benefited from the approach. Implications of this study is also helpful to computing education practitioners, workshop organizers, content developers and reviewers to improvise the course content.
机译:计算机编程是计算机科学和相关学科的学生应学习的一项具有挑战性的技能。计算机科学的教育者和学生都担心编程能力的失败。编程错误反映了学生对概念的理解和所开发的编程技能的各种细节。本文试图根据学习者产生的编程错误来预测编程理解和调试技能的失败。我们采用混合方法方法进行事前测试实验设计,以评估学习者的Java编程能力。我们还计算误差指标,并通过自学口语教程讲习班来补充课程材料,以提高能力。学生编程模式的特征有助于识别有风险的学生并确定具体的干预措施。我们分析编译错误,计算时间和计算错误商以预测编程行为。研究结果表明,学生提高了编程技能,并从该方法中受益。这项研究的意义也有助于计算教育从业人员,研讨会组织者,内容开发人员和审阅者简化课程内容。

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