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ABSTRACT
Nowadays predicting student performance becomes more efficient due to processing the huge volume of data in educational databases. There are many analysis using this concept and area of implementation is still increasing larger different examples student marks, attendance, semester mark, grade points, placement, health, curriculum-activities etc. In recent trends the amount of data stored is developing rapidly. The main goal is to make a survey on ―An intelligent approach to predict the student behavior and performance‖ To develop a model in order to predict student Behavior and performance. The student performance in education is very
major role in educational environment .The stored database contains student information to improve student perspective and behavior. This paper show trends and types of analyze should be performed to improve education process. We predicted student details and generate a report to the faculty and parents. Based on the performance we give solutions to improve their performance. Predicting student performance becomes more challenging due to the large volume of data in educational databases. This paper also focuses on how the predicted the information can be used to identify the most important attributes selection in a student data. we could actually improve student achievement and success more in an efficient way using educational data mining techniques. It could bring the benefits and impacts to student, and academic institution.
INTRODUCTION
Significant improvement to improve student behaviour and Performance managed huge amount of student database has changed our educational system using Data mining techniques are the hottest topics or research areas in the field of Information Technology. Researchers are focusing these areas for better improvement. A simple example of data mining can be predicting student success as given in. In contrast to the above improvement, student details maintenance services are improving and accessing student are continually improving their services. Most of the them is trying to continuously improve student behaviour and performance by computerizing the education details, whole system are managed we going to predicted the student behavior and performance in future use. Managing whole details of student increasing regardless the improvement in the
field of education. The objective of developing this project is to predict the student behavior and performance. Education is a vast and important subject, one that cannot be addressed adequately in this space. In recent years the amount of data stored in educational database is growing rapidly. The stored database contains hidden information about improvement of student‘s performance and behavior. The ability to predict the student performance in education is very important in educational environments. Student‘s academic performance in educational environment is based upon the psychological and environmental factor is predicted by different educational data mining techniques. Here by data mining techniques such as data classification and decision tree methods are used to evaluate the student performance. The analysis of performance can be done in several ways such as Overall Semester Marks, Practical Lab, Attendance, Paper Presentation, End Semester Marks ,mini project , strength and weakness etc., The information about the student and their behavior and performance are stored in a database . We can predicate and access their data for future use. The information about the student and their behavior and performance are stored in a database. We can The information about the student and their behavior and performance are stored in a database .We can predicate and access their data for future use.
The information about the student and their behavior and performance are stored in a database. We can predicate and access their data for future use. Collected each and every data of the student are analysis and generate the report . The collected details will be processed and published as report and the student and
staff can access their details anywhere when they needed The scope of the project an intelligent approach to predict student performance and behavior is for computerizing the information. The software takes all the data of an student and is capable to provide easy and effective storage of information related to students.
