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Modeling the factors that influence understanding of concepts in introductory programming course

机译:在入门编程课程中建模影响概念理解的因素

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摘要

The aim of the diploma thesis is modeling the factors that influence the performance of students in introductory programming. We wanted to determine what factors influence the successful passing of the exam from the introductory programming. We also analyzed three programming tasks, which reflect concepts that we think are difficult for novice programmers and identified how students in these tasks make mistakes.ud udIn the theoretical part, we identified factors that affect the performance of the novice programmers on the basis of selected literature. In the empirical part, we conducted a research among students on the factors that influence the success in passing an exam in programming. We invited students from University of Ljubljana, who take the introductory programming courses. With the questionnaire we collected data on high school, success in graduating from high school, learning style, prior knowledge of programming, attendance and participation in lectures and tutorials, assessment of the introductory programming course, the number of attempts needed to pass the subject ... We also analyzed the way of solving three tasks mentioned above. The tasks were added to the questionnaire. For the data modeling, we used decision tree analysis. We interpreted them with a view to improve the didactic approach to introductory programming. Decision models suggest that the students’ success in programming is mostly influenced by the success of graduating from high school - whether the student carried out general or vocational matura and how many points the student scored.ud
机译:文凭论文的目的是对影响介绍性编程中学生表现的因素进行建模。我们想确定哪些因素会影响入门编程的考试成功通过。我们还分析了三个编程任务,它们反映了我们认为对于新手程序员来说很难的概念,并确定了这些任务中的学生是如何犯错误的。 ud ud在理论部分,我们在此基础上确定了影响新手程序员性能的因素。精选文学。在实证部分,我们在学生中进行了一项研究,研究影响编程考试成功与否的因素。我们邀请了卢布尔雅那大学的学生参加编程入门课程。通过问卷调查,我们收集了有关高中,高中毕业成功率,学习风格,编程的先验知识,参加和参与讲座和指南,评估入门编程课程以及通过该学科所需的尝试次数的数据。 ..我们还分析了解决上述三个任务的方式。任务已添加到调查表中。对于数据建模,我们使用了决策树分析。我们对它们进行了解释,以期改进介绍性编程的教学方法。决策模型表明,学生在编程方面的成功主要受高中毕业的成功影响-学生是否进行了普通或职业培训以及学生获得了多少分。 ud

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    Jensterle Monika;

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