Aggregate Compilation Behavior: Findings and Implications from 27,698 Users

Matthew C. Jadud, Brian Dorn
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引用次数: 41

Abstract

The error quotient (EQ) was first reported in 2006 as a behavioral measure of novice programmers. The EQ scores how well students deal with correcting syntax errors (or not) in their programs. The original studies were carried out on data collected using BlueJ, a pedagogic Java programming environment; today, newly installed instances of BlueJ capture data similar to these early studies automatically, meaning data regarding nearly 2 million programmers is captured every year by the Blackbox project. In this paper, we apply Jadud's original error quotient algorithm to this new, massive data set, and discuss our results and analysis in light of related work. Further, we consider the implications of our findings for researchers and educators in applying the EQ to 27,698 users in 10 different countries during the fall term of 2013.
聚合编译行为:来自27,698个用户的发现和含义
错误商数(EQ)在2006年首次作为新手程序员的行为衡量标准被报道出来。情商测试对学生在程序中纠正(或不纠正)语法错误的能力进行评分。原始研究是使用BlueJ(一个教学Java编程环境)收集的数据进行的;今天,新安装的BlueJ实例自动捕获类似于这些早期研究的数据,这意味着Blackbox项目每年捕获近200万程序员的数据。在本文中,我们将Jadud的原始误差商算法应用于这个新的海量数据集,并结合相关工作讨论了我们的结果和分析。此外,在2013年秋季学期,我们将情商应用于10个不同国家的27,698名用户,并考虑了我们的研究结果对研究人员和教育工作者的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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