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Effect of Homework on Student Learning in a University Level Mathematical Modeling Course

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Abstract (2. Language): 
In the paper effects of homework and the number of absences on student learning are investigated using multivariate regression method. As the measure of the acquisition of students we consider the comprehensive final exam score while percentage of absences, homework scores and Midterm 1 and Midterm 2 scores are used as predictors. Our regression analysis results showed that student homework scores comes second after a second exam in explaining the variance of the comprehensive final exam scores of the course. Surprisingly, homework scores outperform the first exam as far as contribution in explaining the variance of the model. Additionally, the contribution of total homework scores is uniquely substantial.
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