基于数学技能测试和学术成就的有机化学成功预测†

IF 3.2 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Kathleen S. Lee, Brad Rix and Michael Z. Spivey
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引用次数: 2

摘要

有机化学I对许多追求不同研究领域的学生提出了挑战,往往限制了这些领域的进一步发展。通过为这些学生提供量身定制的资源,识别有不成功课程结果风险的学生的能力可能会提高成功率。先前确定的预测因素包括大学入学考试成绩、平均绩点(GPA)、普通化学II课程成绩、第一次考试成绩和逻辑思维评估的结果。本研究探讨了在一所小型私立大学为期两年的有机化学第一学期课程中使用20项数学技能测试(MUST)的情况。对学期第一周进行的必考成绩分析表明,成功和不成功的第一次学生之间存在统计学显著差异(n = 74和49),因为必考具有良好的内部一致性(Cronbach's alpha = 0.861)和较大的效应量(Cohen's d = 1.29)。单独来看,MUST预测学生不及格的准确率为64%;加入学期初科学GPA数据将预测准确率提高到82%。结合本学期第一次考试的成绩,预测会进一步提高。迄今为止的观察表明,MUST是一种易于管理的评估方法,可以单独使用,也可以作为预测第一学期有机化学成功与否的三项措施的一部分。数学评估的影响,作为一个预测有机化学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictions of success in organic chemistry based on a mathematics skills test and academic achievement†

Organic Chemistry I presents challenges to many students pursuing diverse fields of study, oftentimes curtailing further progress in those fields. The ability to identify students at risk of unsuccessful course outcomes may lead to improved success rates by offering tailored resources to those students. Previously identified predictors include college entrance exam scores, grade point averages (GPA), General Chemistry II course grades, first exam scores, and results from a logical thinking assessment. This work explores the use of the 20-item Math-Up Skills Test (MUST) in a first-semester organic chemistry course over two years at a small private university. Analysis of scores on the MUST, which is taken during the first week of the semester, indicates a statistically significant difference between successful and unsuccessful first-time students (n = 74 and 49, respectively) as the MUST has good internal consistency (Cronbach's alpha = 0.861) and a large effect size (Cohen's d = 1.29). Taken alone, the MUST predicts students at risk of not passing the course with 64% accuracy; addition of start-of-term science GPA data improves predictions to 82% accuracy. Predictions are further improved with incorporation of scores from the first exam of the semester. Observations to date indicate that the MUST is an easily administered assessment that can be utilized alone or as part of a trio of measures to predict success in first-semester Organic Chemistry. Implications of a mathematics assessment as a predictor for Organic Chemistry are addressed.

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来源期刊
CiteScore
4.80
自引率
26.70%
发文量
64
审稿时长
6-12 weeks
期刊介绍: The journal for teachers, researchers and other practitioners in chemistry education.
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