Student performance assessment using clustering techniques
Date
2019-07-26
2019-07-26
Author
Varela Izquierdo, Noel
Sánchez Montero, Edgardo Rafael
Vásquez, Carmen
Garcia Guiliany, Jesus Enrique
Vargas Mercado, Carlos
Orellano Llinas, Nataly
Batista Zea, Karina
Palencia, Pablo
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Abstract
The application of informatics in the university system management allows managers to count with a great amount of data which, rationally treated, can offer significant help for the student programming monitoring. This research proposes the use of clustering techniques as a useful tool of management strategy to evaluate the progression of the students’ behavior by dividing the population into homogeneous groups according to their characteristics and skills. These applications can help both the teacher and the student to improve the quality of education. The selected method is the data grouping analysis by means of fuzzy logic using the Fuzzy C-means algorithm to achieve a standard indicator called Grade, through an expert system to enable segmentation.
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