Predicting Instructor Performance Using Data Mining Techniques in Higher Education

Data mining applications are becoming a more common tool in understanding and solving educational and administrative problems in higher education. In general, research in educational mining focuses on modeling student's performance instead of instructors' performance. One of the common too...

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Veröffentlicht in:	IEEE access 2016, Vol.4, p.2379-2387
1. Verfasser:	Agaoglu, Mustafa
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Algorithms Analytical models Artificial neural networks Classification Classification algorithms Classifiers Data mining Decision analysis Decision trees Discriminant analysis Education Higher education linear discriminant analysis Measuring instruments Neural networks Perception Performance evaluation Performance measurement Performance prediction Questionnaires Students Support vector machines Teachers
Online-Zugang:	Volltext
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