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首页> 外文期刊>The international journal of engineering education >Student Performance in First-Year Math and Physics Courses as Predictor of Student Dropout in Engineering Programs
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Student Performance in First-Year Math and Physics Courses as Predictor of Student Dropout in Engineering Programs

机译：第一年数学和物理课程的学生表现是工程计划中学生辍学的预测因素

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The dropout rate in higher education institutes has been the subject of constant discussion. This study investigates the dropout rates of engineering programs in the initial semesters, adjusting risk models to potential academic factors. The main subjects of mathematics and physics in the initial semesters are identified and ordered according to level of dropout risk, which can assist administrators in taking actions to improve student performance. The sample consists of 4,848 students in engineering programs at a federal university in Brazil. Failure levels reached 52.3% in first-semester courses and 57% in second-semester courses. The risk calculation identified the main courses that encourage dropout in engineering programs in the initial semesters. Analytical Geometry, Calculus I, Calculus II and General Physics I courses presented high risks for dropout for all the engineering programs. Students who studied analytical geometry showed that the risk of dropout as a result of failure in Calculus I decreased from 19.3% to 6.3%, and in General Physics I the risk decreased from 10.4% to 4.8%. This shows that improving performance in at least one course in the initial semester considerably reduces the rates of dropout from programs.
机译：高等教育机构的辍学率一直是持续讨论的主题。本研究调查了初始学期的工程方案的辍学率，将风险模型调整为潜在的学术因素。根据辍学风险水平确定和订购初始学期的数学和物理的主要科目，可以帮助管理员采取行动以提高学生表现。该样品由巴西联邦大学的4,848名学生组成。在第一学期课程中，失败水平达到52.3％，在第二学期课程中达到57％。风险计算确定了初步学期中的工程计划中的主要课程。分析几何，微积分，微积分II和通用物理学I课程为所有工程方案的辍学奠定了高风险。研究分析几何学的学生表明，由于微积分失败，我的辍学风险从19.3％降至6.3％，而且在通用物理学中，风险从10.4％降至4.8％。这表明，在初始学期中至少有一门课程提高性能大大降低了程序的辍学率。

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