Predicting Students at Risk in General Chemistry Using Pre-semester Assessments and Demographic Information
Predicting Students at Risk in General Chemistry Using Pre-semester Assessments and Demographic Information
复制标题
使用学期前评估和人口统计信息预测普通化学学生面临的风险
DOI：
10.1021/ed079p749
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发表时间：
2002
影响因子：
3
通讯作者：
Warren J. Dibiase
中科院分区：
文献类型：
--
作者：
E. Wagner;H. Sasser;Warren J. Dibiase
预测学生在课堂上的表现是教育研究的一个重要领域，因为它有可能帮助教育工作者识别出在一门课程中可能难以掌握材料的学生。这项研究的目标是为理科专业普通化学专业的学生制定一份敏感而具体的学期前评估，以确定有可能不及格的学生。学生学期前评估(SPSA)预测，40.8%的学生在第一学期普通化学考试中不及格。它比托莱多考试(27.7%)、SAT(16.8%)或预测成绩点指数(PGI)(29.4%)更能预测高危学生。人口统计变量的加入几乎没有增加SPSA的预测能力，但数学和化学背景以及年龄显著提高了预测高危学生的准确性，无论是结合SAT成绩还是PGI。
Predicting student performance in the classroom is an important area of educational research owing to its potential for helping educators identify students who may have difficulty grasping the material in a course. The goal of this research was to develop a sensitive and specific pre-semester assessment for students enrolled in general chemistry for science majors that would identify students at risk for failing the course. The student pre-semester assessment (SPSA) predicted 40.8% of the students who went on to fail first-semester general chemistry. It was a better predictor of at-risk students than the Toledo exam (27.7%), SAT (16.8%), or predicted grade point index (PGI) (29.4%). The inclusion of demographic variables did little to increase the SPSA's predictive power, but math and chemistry background and age significantly increased the accuracy of predicting at-risk students when combined with either the SAT score or the PGI.