• 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