Vol. 3, Issue 5 (2018)
Teacher performance evaluation using Neuro-Fuzzy techniques
Author(s): Zarni Sann, Thi Thi Soe, Thae Su Lwin
Abstract: The evaluation of Teachers performance in teaching activity is especially relevant for the academic institutions. The performance evaluation is based on Adaptive Neural Fuzzy Inference System (ANFIS). In this paper, we discuss the teacher’s performance evaluation using Neuro-Fuzzy System to find out the relationship between the Personal problems and employees’ performance in organization. This System consider the various aspects of performance measures of teachers, like students’ feedback, teaching practice, teaching learning process, background factors and requirements, research orientation and publications, ICT development of teacher and other performance like personal skills & abilities, etc. that have deep influence on the teachers’ performance in technical institutions. By using evaluation result of each teacher, administrator encourages teachers which result is great in their teaching, which result is suitable in teaching, which result is need to training, some teachers need to try hard more and more. In this way, every teacher is attempting to improve their quality, skill, satisfaction, efficiency and innovation in teaching in the technical educational organizations.