DocumentCode :
3699162
Title :
A generic feedback system for better evaluation of teacher performance
Author :
Hamad Naeem;Jun Sang;Waqar Ali Abro;Muhammad Rashid Naeem
Author_Institution :
Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, 400044, China
fYear :
2015
Firstpage :
432
Lastpage :
436
Abstract :
In existing educational environment, teacher´s performance is playing vital role in growth of students as well as institution. The quality of Instruction is basic constituent for successful learning. For better collaboration between students and teachers, it has become mandatory to introduce comprehensive performance evaluation mechanism. In modern age, information technology provides us optimal solution to evaluate teacher´s performance. In this paper, we proposed a generic feedback model using unified modeling language (UML). This model can be easily implemented in any institutional environment due to its non specific behavior. This model predicts better results of teacher´s performance using methods of data mining tool. In the conclusion, we compared results of various data mining techniques and also suggesting an appropriate method for this system.
Keywords :
"Decision trees","Service computing","Software engineering","Computational modeling","Data models","Performance evaluation"
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
ISSN :
2327-0586
Print_ISBN :
978-1-4799-8352-0
Electronic_ISBN :
2327-0594
Type :
conf
DOI :
10.1109/ICSESS.2015.7339090
Filename :
7339090
Link To Document :
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