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arXiv 1312.1127math.HOphysics.ed-ph
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从基于知识状态的分班数据中发现数学课程成功的关键概念

Detecting Concepts Crucial for Success in Mathematics Courses from Knowledge State-based Placement Data

Marc Harper, Alison Ahlgren Reddy

摘要:

我们表明,个别主题和技能可以有一个戏剧性的影响,学生在伊利诺伊大学的各种数学课程的结果。来自伊利诺伊州就业安置计划的数据将一个知识状态,一个学生能够成功和重复完成的182个项目和技能的子集,与他们在从大学代数到多元微积分的各种课程中的最终成绩相关联。使用各种条件概率和比值比,我们分类项目的基础上,他们与成功和不成功的课程结果的关联,表明一些技能,是先进的一些课程的基础或基本的更先进的课程。我们研究的影响,在传统的大学代数,预微积分,微积分序列的课程,以及课程通常不包括安置计划,如高等微积分课程的特定项目。与每个学生相关联的知识状态的可视化给出了一些特定的课程和整个集合的安置课程,允许特定主题的影响,以检查整个本科课程。

英文摘要:

We show that individual topics and skills can have a dramatic effect on the outcomes of students in various mathematics courses at the University of Illinois. Data from the placement program at Illinois associates a knowledge state, a subset of 182 items and skills that a student is able to complete successfully and repeatedly, with their final grades in a variety of courses from college algebra through multivariate calculus. Using various conditional probabilities and odds ratios, we classify items based on their association with successful and unsuccessful course outcomes, showing that some skills that are advanced for some courses are fundamental or basic to more advanced courses. We examine the impact of specific items across the courses in the traditional college algebra, precalculus, and calculus sequence, as well as courses not typically covered by placement programs, such as higher calculus courses. Visualizations of the knowledge states associated to each student are given for some specific courses and for the entire collection of placement courses, allowing the impact of specific topics to be examined across the undergraduate curriculum.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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