Presentation
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation
Author/s | Jiménez Navarro, Manuel Jesús
Vega Márquez, Belén Luna Romera, José María Carranza García, Manuel Martínez Ballesteros, María del Mar |
Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Publication Date | 2023-08 |
Deposit Date | 2024-04-11 |
Published in |
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ISBN/ISSN | 978-3-031-42518-9 978-3-031-42519-6 (online) |
Abstract | 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. |
Funding agencies | Ministerio de Ciencia e Innovación (MICIN). España Junta de Andalucía |
Project ID. | PID2020-117954RB-C22
TED2021-131311B-C21 PYC20 RE 078 USE |
Citation | 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. |
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Association Rule.pdf | 460.2Kb | [PDF] | View/ | |