The main objective of the educational
institution is to provide high quality education for
producing good results. Producing high quality education
and result mainly depends on “Best Teacher”. Obviously,
Best Teacher produces high quality education like practical
oriented lectures with practical examples and good results.
Institution has to identify their performance and recognize
them as per the criteria. This paper focuses the evaluation
of teacher’s performance to impart the quality of education
in the institution. Data Mining is an interdisciplinary
research area that deals with the model development to
explore data in the educational institution. Many
researchers have taken this issue and evaluate the teacher’s
performance using some data mining tools. But still it finds
some difficulties to determine the accurate result. In this
case, decision making technique is used to find and make
the meaningful patterns and association rule mining
technique is used for producing interesting knowledge too.
Association rule is not only for generating the patterns and
also for classifying the teachers based on their similarities
in academic part. Teachers are classified based on their
involvement in teaching, student interaction, practical
work, methodology used etc. These criteria’s helps to
recognize their performance which is extracted from the
corresponding educational database. This paper proposed
an idea to evaluate the teacher’s performance and produce
an accurate report for recognizing the Teachers and
improve the betterment of the institution.s
Dr. K. Kavitha : Assistant Professor, Department of Computer Science
Mother Teresa Women’s University, Kodaikanals
Association Rule Mining
Support
Confidence
Rule Prediction
itemsets
This paper examines the use of Association Rule Mining
to enhance the quality of Teachers. The predicted rule
helps to identify and categorize the teachers such as
Excellent, Good and Average. The overall performance
report helps to improve the teacher’s performance and
makes betterment of the institution too. It helps to
identify the teachers based on the similar characteristic
which helps to provide more training and concentration.
Furthermore, in future this idea will be implemented in
Weka Tools and analyse the teacher’s performance
using data mining techniques such as Clustering,
Association Rule Mining and Classification.s
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