Predictors for Success in a Discrete Math Course

Lisa Jamba-Joyner; William F. Klostermeyer

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Predictors for Success in a Discrete Math Course

机译：离散数学课程中成功的预测因素

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Several factors, including grade-point average, math SAT scores, performance in calculus and programming courses, and results from a short pre-test were used in an effort to predict student grades a discrete mathematics course offered to computing science students. Two factors, SAT and average programming grade, were found to be significantly associated with the final grade for the discrete math course. Additionally, performance in the discrete math course was positively correlated with performance in the automata course required for computer science students.

机译：几个因素，包括平均成绩，数学SAT分数，微积分和编程课程的成绩以及短期预测试的结果，被用于预测为计算机科学专业学生提供的一门离散数学课程的学生成绩。发现SAT和平均编程成绩这两个因素与离散数学课程的最终成绩显着相关。此外，离散数学课程的成绩与计算机科学学生所需的自动机课程的成绩呈正相关。

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《SIGCSE bulletin》 |2003年第2期|p.66-69|共4页
作者
Lisa Jamba-Joyner; William F. Klostermeyer;
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作者单位

Dept. of Computer and Information Sciences University of North Florida Jacksonville, Florida 32224-2669 USA;

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正文语种 eng
中图分类计算技术、计算机技术;
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Predictors for Success in a Discrete Math Course

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