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Model for Predicting Summative Performance from Formative Assessment Results of Engineering Students

机译:从工程学生的形成评估结果预测总结性能的模型

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The present paper proposes a new model for predicting the summative assessment marks (SAM) of engineering students based on their formative assessment marks (FAM). Often, instructors at higher education institutions have to provide learning to very large class sizes. Therefore, different approaches are sought to alleviate such constraints. One of the recent interests is the possibility of using FAM results to estimate or predict summative performance of students.In this study, a model was developed using data of modules lectured to undergraduate civil engineering students over a period of 10 years. The data sets used consisted of 18 assessment events of various modules involving 852 students. The linear and power type models were formulated through data fitting and validation. Statistical error indicators showed the power function model of the form SAM = P(FAM)X-Q with P = 3.2 and Q = 0.7 to be superior, as the model gave realistic predictions.
机译:本文提出了一种新模式,以根据其形成性评估标志(FAM)预测工程学生的总结评估标志(SAM)。 通常,高等教育机构的教师必须为非常大的班级提供学习。 因此,寻求不同的方法来缓解这种约束。 最近的利益之一是使用FAM结果估计或预测学生的总结表现的可能性。在本研究中,使用讲座的模块数据制定了一个模型,该学生在10年内到了大本科土木工程学生。 使用的数据集由涉及852名学生的各种模块的18个评估事件组成。 通过数据拟合和验证配制线性和电源类型模型。 统计误差指示器显示SAM = P(FAM)X-Q的幂函数模型,P = 3.2和Q = 0.7为优越,因为模型给出了现实的预测。

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