Teacher’s Performance Analyzer

Abstract

Any Educational system is built on two important
processes, teaching and learning. If the question is asked which
process among these two is most important, obvious answer is
learning. Learning must happen satisfactorily. But how can we
neglect the teaching process? For the betterment of educational
systems, a lot research is done focuses on student’s performance
instead of teacher’s performance in educational mining. Teaching
is the most important process to complete learning process
satisfactorily. To improve teaching process teacher’s performance
is very important. So in this paper we are focusing on discovering
knowledge that predicts teacher’s performance, which is one of
the ways to achieve high quality education. Higher educational
system uses data mining applications most widely for understanding
and solving the problems faced by students. The analysis
shows that the teacher’s success mainly depends on the interest of
the students in the course.This paper presents an efficient model
for prediction of teacher’s performance in higher institutions
specifically engineering streams of learning using data mining
techniques. Questionnaire is the most common tool to evaluate
performance of the teacher. In this paper, classifier model is built
by applying learning algorithms, such as C4.5,ANN(Artificial
Neural Network),Naive bayes Classifier. In addition, an analysis
is done for the variable importance for each classifier model