Ponencia
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation
Autor/es | Jiménez Navarro, Manuel Jesús
Vega Márquez, Belén Luna Romera, José María Carranza García, Manuel Martínez Ballesteros, María del Mar |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2023-08 |
Fecha de depósito | 2024-04-11 |
Publicado en |
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ISBN/ISSN | 978-3-031-42518-9 978-3-031-42519-6 (online) |
Resumen | The quality of university teaching is essential for the success of students and the academic excellence of an educational institution. The purpose of this work is to provide a methodology based on the Association Rule ... The quality of university teaching is essential for the success of students and the academic excellence of an educational institution. The purpose of this work is to provide a methodology based on the Association Rule technique using the Apriori algorithm to analyze the results obtained from the student evaluation process regarding their satisfaction with the teaching received. This methodology has been applied in programming courses of students of several courses both in the Computer Engineering and Health Engineering degrees at University of Seville, Spain. The proposed methodology can serve as a starting point for a self-improvement process that clearly identifies strengths and weaknesses. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (MICIN). España Junta de Andalucía |
Identificador del proyecto | PID2020-117954RB-C22
TED2021-131311B-C21 PYC20 RE 078 USE |
Cita | Jiménez Navarro, M.J., Vega Márquez, B., Luna Romera, J.M., Carranza García, M. y Martínez Ballesteros, M.d.M. (2023). Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation. En 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) (319-328), Salamanca (España): Springer Link. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Association Rule.pdf | 460.2Kb | [PDF] | Ver/ | |