Predictors of Persistence and Success in an Engineering Program
Predictors of Persistence and Success in an Engineering Program
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工程项目持久性和成功的预测因素
DOI：
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发表时间：
1995
期刊：
影响因子：
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通讯作者：
John Wyckoff
中科院分区：
文献类型：
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作者：
J. Levin;John Wyckoff
本研究确定了学生变量，预测持久性和成功的本科工程项目。三个逻辑模型，预测成功坚持的概率。重要的预测因素包括认知和非认知变量;在科学和数学课程中表现出色并且真正对工程感兴趣的学生更有可能坚持下去并取得成功。预测变量并不随着时间的推移而恒定，而是随着学生在前两年学习中的进步而变化，先决条件科学和数学课程的表现成为最佳预测因素。作者简要讨论了学术咨询的含义。
This study identifies student variables that predict persistence and success in an undergraduate engineering program. Three logistic models were developed that predicted the probability of persisting successfully. Significant predictors included both cognitive and noncognitive variables; students who did well in science and mathematics courses and who were genuinely interested in engineering were more likely to persist and succeed. Predictor variables were not constant over time but changed as students progressed through the first two years of study, with performance in prerequisite science and mathematics courses emerging as the best predictors. The authors briefly discuss academic advising implications.