Exploring the Link Between Prerequisites and Performance in Advanced Data Structures
Exploring the Link Between Prerequisites and Performance in Advanced Data Structures
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探索高级数据结构中的先决条件和性能之间的联系
DOI：
10.1145/3328778.3366867
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Griswold, William G.
中科院分区：
文献类型：
--
作者：
Krause-Levy, Sophia;Valstar, Sander;Porter, Leo;Griswold, William G.
最近的研究发现，教师对学生掌握先修课程内容的期望与他们的实际能力之间存在不匹配。这就引出了为什么会存在这种不匹配的问题。我们首先检查了先修课程的成绩，发现它们与测试他们对先修材料知识的评估表现具有有意义的相关性。此外，我们发现，采取替代主要确定的先决条件的课程以及学习先决课程和后续课程之间的延迟都会对绩效产生有意义的影响。其次，我们确认先修课程的成绩与后续课程的成绩显着相关——确认之前课程的成绩传达了有关学生对这些主题的理解的一些信息。也许令人惊讶的是，我们发现计算以外的课程的成绩与计算内的课程的成绩具有相似的相关性，这表明一般学习技能等潜在因素可能与特定领域的知识本身一样重要。
Recent work has identified a mismatch between instructor expectations of students' mastery of prerequisite course content and their actual ability. This invites the question of why this mismatch exists. We first examined grades in prerequisite courses and found they meaningfully correlated with performance on an assessment testing their knowledge of prerequisite material. In addition, we found neither taking alternatives to the primary identified prerequisites nor the delay between taking prerequisite courses and the follow-on course meaningfully impacts performance. Second, we confirmed that prerequisite course grades are significantly correlated with the grade in the follow-on course-confirming that the grades in the previous courses convey some information about student understanding of those topics. Perhaps surprisingly, we found that grades in courses outside computing were similarly correlated as those courses inside computing, suggesting that underlying factors such as general study skills may be as important as the domain-specific knowledge itself.
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DOI：
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