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An Analysis of Student Performance in a Digital Electronics Design Course
Abstract
The main purpose of this research was to find relations between activities in Dees (Digital Electronics Education and Design Suite) and student performance in an undergraduate course of Digital Electronics. In our case of study, we used a dataset which contains examples of students using Dees toolkit. Firstly, we performed an analysis of the attributes of the dataset, to find correlations between student performance and activities developed during six sessions of the course. Secondly, we performed clustering using the algorithm k-means. Then, we concluded that, there is a relation between Dees activities performed by a student and student performance. This result opens the possibility of further analysis and perhaps the use of similar software toolkit in different courses of the Engineering curricula.
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