A model for analysing factors which may influence quality management procedures in higher education
Keywords:
academic performance, evaluation, cluster analysis, discriminant analysisAbstract
In all universities, the Office for Quality Assurance defines the procedure for assessing the performance of the teaching staff, with a view to establishing students’ perception as regards the teachers’ activity from the point of view of the quality of the teaching process, of the relationship with the students and of the assistance provided for learning. The present paper aims to create a combined model for evaluation, based on Data Mining statistical methods: starting from the findings revealed by the evaluations teachers performed on students, using the cluster analysis and the discriminant analysis, we identified the subjects which produced significant differences between students’ grades, subjects which were subsequently subjected to an evaluation by students. The results of these analyses allowed the formulation of certain measures for enhancing the quality of the evaluation process.Downloads
Published
Issue
Section
License
Copyright (c) 2015 Bulletin of the Transilvania University of Brasov. Series V: Economic Sciences
This work is licensed under a Creative Commons Attribution 4.0 International License.