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首页> 外文会议>ACM Technical Symposium on Computer Science Education >As CS Enrollments Grow, Are We Attracting Weaker Students? A Statistical Analysis of Student Performance in Introductory Programming Courses Over Time
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As CS Enrollments Grow, Are We Attracting Weaker Students? A Statistical Analysis of Student Performance in Introductory Programming Courses Over Time

机译：随着CS招生的增长，我们是否吸引了较弱的学生？随着时间的推移介绍编程课程学生绩效的统计分析

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In recent years, enrollments in undergraduate computer science programs have seen tremendous growth nationally. Often accompanying such growth is a concern from faculty that the additional students choosing to pursue computing may not have the same aptitude for the subject as was seen in prior student populations. Thus such students may exhibit weaker performance in computing courses. To help address this question, we present a statistical analysis using mixture modeling of students' performance in an introductory programming class at Stanford University over an eight year period, during which enrollments in the course more than doubled. Importantly, in this setting many variables that would normally confound such a study are directly controlled for. We find that the distribution of student performance during this period, as reflected in their programming assignment scores, remains remarkably stable despite the large growth in enrollment. We then explain how the notion of having "more weak students" and the fact that the distribution of student ability is unchanged can readily co-exist and lead to misperceptions about the quality of incoming students during an enrollment boom.
机译：近年来，本科计算机科学计划的入学人士在全国范围内得到了巨大的增长。随着这些增长的常见是教师的一个问题，即选择追求计算的额外学生可能对该主题的额外学生可能没有相同的能力，就像先前的学生群体一样。因此，这些学生可能在计算课程中表现出较弱的性能。为了帮助解决这个问题，我们在八年期间，在斯坦福大学的介绍性编程课程中使用比较学生绩效的统计分析，在此期间在课程中增加了一倍多。重要的是，在这种情况下，在这种情况下，通常控制通常会混淆这种研究的变量。我们发现，尽管入学率大幅增长，但在此期间，在此期间的分布仍然非常稳定。然后，我们解释了有“更弱的学生”的概念以及学生能力的分布不变的事实可以容易地共存，并导致在入学繁荣期间对传入学生质量的误解。

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