Evaluating The Performance Of Smart (Electronic) School Teachers Using Fuzzy Inference System

Teachers evaluation as one of the essential educational needs has an important role in improving educational quality and developing smart schools. The lack of implementation of a systematic and scientific evaluation system not only will discourage committed teachers, but also will have consequences such as reduced commitment and leave the organizational work. Therefore, the present study attempts to present a fuzzy inference system (FIS) model to evaluate the performance of teachers working in smart schools of Yazd province. In this regard, after reviewing the literature and identifying the factors affecting performance evaluation in two sections of computer literacy and classroom performance, the fuzzy Delphi technique was used to get experts agreement (20 experts) on the model’s final criteria. The ambiguity and complexity of performance appraisal criteria, especially qualitative criteria, as well as the use of verbal variables for extracting expert opinions, led to the use of fuzzy inference system for analyzing model components. In the case of the under study schools, the output of the system indicates that the status of smart school teachers in the basic courses and content production criteria is at intermediate level, in the Internet and educational supplementary software is at a relatively high level, and in the educational content development and electronic evaluation is at a low level. Based on these findings, teachers performance in smart schools was evaluated as medium level. Finally, some suggestions were proposed to improve the current status of smart schools.