Öğretim Kalitesi Değerlendirmesine Yeni Bir Yaklaşım: Bartın Üniversitesi Örneği

Higher education institutions benefit from various evaluation systems for the purpose of raising their teaching qualities. The sufficiency of academic service is investigated and arrangements for improving teaching quality are made using these systems. In this study, an approach is proposed to investigate and report student perception-based evaluations together with academic knowledge-activities of instructors for teaching quality in Bartın University. This approach has three phases: i) Constituting teaching quality database, ii) Clustering study for this database, iii) Reporting the results using MySQL-based server. In the first phase, database is constituted from evaluations of instructors and their students in Bartın University. In the second, this database is classified using fc-means algorithm and Silhouette index. Therewith, the database is separated into three clusters. Population means of these clusters are significantly different. By discriminant analysis, the clustering has 100.0% validity-rate. In the last phase, clustering results are reported through MySQL database management system.