Assistance in computer programming learning using educational data mining and learning analytics

Assistance in computer programming learning using educational data mining and learning analytics
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使用教育数据挖掘和学习分析协助计算机编程学习

DOI：
10.1145/2462476.2462496
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发表时间：
2013
期刊：
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影响因子：
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通讯作者：
María del Puerto Paule Ruíz
María del Puerto Paule Ruíz
中科院分区：
--
文献类型：
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作者：
Carlos Fernandez Medina;Juan;V. García;María del Puerto Paule Ruíz

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编程的学习给学生带来了很多困难。如今，有许多软件工具可以帮助学生在编程课程中发展和锻炼他们的知识和技能。然而，这些工具不会检查他们的作业或为学生提供有关其学习过程的指示。在本文中，我们介绍了一种基于对学生在编程学科实践课中所犯错误的分析的编程学习方法。这种方法利用编译器消息来分析其数量和语义价值，并报告个人和比较学习进度。在计算机科学本科生班级中进行的案例研究在实践中说明了这种方法。这项研究使得提供反思性学习实践的分析表示成为可能，让我们更好地理解编程学习过程。
The learning of programming presents many difficulties for students. Nowadays, a number of software tools are available that enable students in programming courses to develop and exercise their knowledge and skills. However, these tools do not examine their work or provide students with indications on their learning process. In this paper we introduce a learning approach for programming based on the analysis of students' mistakes during practical lessons in programming subjects. This approach makes use of compiler messages to analyse their quantity and semantic value, and report the individual and comparative learning progress. This approach is illustrated in practice by a case study conducted in a class of undergraduate students of computer science. This study makes it possible to provide an analytic representation of reflective learning practice, giving us a better understanding on programming learning processes.