International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022
p-ISSN: 2395-0072
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A WEB BASED APPLICATION FOR TUTORING SUPPORT IN HIGHER EDUCATION USING EDUCATIONAL DATA MINING Devashree Shetye1, Prajakta Mangalkar2, Aishwarya Dashputre3, Akansha Sonawane4, P.V.Nagare5 1234UG
Student, Dept. of Computer Engineering, LoGMIEER, Maharashtra, India Professor, Dept. of Mechanical Engineering, LoGMIEER, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------5Assistant
Abstract – This Paper aimed at developing on Online
admission due to they did not able to reserve the seat because of make mistakes in college selection. This type of condition makes additional threats to the student career.
College Prediction System that is of importance to the college as well as students. In recent time for student to select college for higher education is very difficult as per their aggregate percentage. After the complete of diploma for higher education admission limited seats are available. Student don’t know for his/her which college is applicable. This study focuses on ways to support student in admissions decision making using data mining techniques to predict colleges based on previous cut-off performance at institute. In college prediction system based on valid and reliable cutoff criteria is very important to select colleges for higher education. Every college enroll their college in college module then admin have a right to approve or disapprove if the college is centralized then admin approved this college if college decentralized then admin disapprove this college. centralized college is show to student as per their percentage
To avoid this type of condition, student required some helping platform which gives them correct knowledge or information about college. In this context, this study focuses on supporting Students in making admissions decisions through the application of data mining techniques to better predict College before designation. This would support institute decision makers as they set efficient admissions principles. This is because they use only formal statistical methods rather than new and efficient predictive techniques such as Educational Data Mining (EDM), which is the most popular technique to evaluate and predict college cut-off -performance. EDM is the process of extracting useful details and models from a huge educational database, which can then be used to predict students’ performance.
Key Words: Data mining techniques1, Educational data mining2, College Cut-off Prediction4, Online System5, Database6, Student Aggregate7.
1.2 System Design
1. INTRODUCTION
We are having a three module which is Admin Module, College Module and Student Module. Number of institutes register on college module and student also register on module in this database huge number of records are stored. Admin manage the institute but the user is self-approved. System is process on this institute and student data and give the perfect prediction from the data.in institute data includes the institute Name, Code, Designation, Institute Mobile no, Institute Phone No, Email, District, Taluka, Address of Institute and Password. In student data contains Gender, Cate, Name, Enrolment No, Percentage, Passing Year, Institute name, University Name, Student Mobile No, Email, Department, State, Taluka and Password. On the basis of this data, system is done the prediction using data mining Technique. Data mining is one of the most useful procedures that help entrepreneurs, researchers, and individuals to extract valuable information from huge sets of data. Data mining is also called Understanding Discovery in Database (KDD). Using the data mining technique institute get shortlisted candidate for admission process.
In Recent Time, all higher education institutions, especially diploma pass out student’s, face challenges in the admission process. Each university should strive for an admissions system based on valid and reliable admissions criteria that select student likely to succeed in its cut-off criteria. In addition, each student should use the best possible techniques for predicting college previous cut-off criteria for admitting them. Each student faces some issues because in admission system, limited seats are available that’s why student's get confuse because in India each college have a different category criteria. In category wise limited seats allocated for each college, then student gets confused and put wrong option according their aggregate without seeing criteria and then unfortunately lost all this college options. Second way of admission is management through but in that also college requirement is very high for fees, every student is not affording these fees and student take one year gap and student loss their one year. On a survey basis there are 80% to 90% student did not find perfect college and lost their
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