Analysis of Academic Performance Based on Hierarchical Clusters: First Notes
Abstract:
The student evaluation processes are very important in order to propose improvement strategies. In this work, we propose a methodology that verifies the formation of groups related to the academic performance of students, which allows to visualize strategies in front of the anticipated preparation or not to take an exam. We consider as a main element that the evaluation cannot be by individual subjects, but that academic performance must be verified in a group or general way in order to obtain a correct response from the teaching–learning process applied to the student. The work is still in the investigative process; however, the conclusions show that exist groups between different subjects, including that there is no clear relationship between preparation or not for an exam and academic performance.
Año de publicación:
2022
Keywords:
- ACADEMIC PERFORMANCE
- TEACHING PROCESS LEARNING
- clusters
Fuente:
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Tipo de documento:
Book Part
Estado:
Acceso restringido
Áreas de conocimiento:
- Análisis de datos
Áreas temáticas:
- Educación
- Ciencias de la computación
- Ciencias Naturales y Matemáticas