Decision support model for evaluating the performance of tutor's teaching using moodle

Abstract

Tutors as online teachers assume a significant part in the achievement of learning success. The capacity of an actual tutor is to instruct and work responsibly according to the learning objectives. The main goal of this research is to propose a decision support model (DSM) which is worked for tutor performance evaluation. Fuzzy AHP and hill climbing are the main method operated scientifically in this study, which both are utilized to analyse, design, and develop the constructed model. By utilizing log information on the Moodle platform, a study can be conducted, where the measurement of tutor performance is selected as the object of research using eleven parameters; like assignment feedback, assignment score, discussion feedback, discussion score, participation, motivation, teaching style, communication, concern, approach, and critical thinking. Later, such a model is going to be a problem solver in helping decision makers in deciding a decision to upgrade the tutors.