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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Intelligent Web Based Mentoring System for Higher Education |
| Authors Name: | Sejal Jadhav , Chirag Sharma , Dhruv Lallukarshanwala , Dr.Shubham Mahajan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_192621
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| Published Paper Id: | IJNRD2305037 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | http://doi.one/10.1729/Journal.34067 |
| Abstract: | This project focuses on supporting students in their admission process to higher education institutions. It aims to help students overcome the challenges they face during the admission process and make informed decisions. In India, each college has different criteria and limited seats allocated for each category, leading to confusion and mistakes in the selection of colleges. As a result, many students miss out on opportunities and waste a year of their education. To avoid these issues, the project proposes to provide students with a platform that gives them accurate information about colleges. The project uses data mining techniques to predict college cut-off criteria and determine the correlation between college cut-off criteria and student's aggregate. The project also identifies the admission criterion that most accurately predicts college cut-off performance so that decision-makers can assign more weight to this criterion. The results of the project show that by using data mining techniques, universities can improve their admission process and make it more efficient. The project suggests that universities can use the results provided by this project to change the weighting of their student admission criteria and use only formal statistical methods and efficient predictive techniques, such as Educational Data Mining (EDM). EDM is the process of extracting useful information and models from a large educational database, which can be used to predict students' performance. |
| Keywords: | Higher education institutions, predicting college cut-off, Educational Data Mining (EDM), Predicting students' performance, Caste category criteria |
| Cite Article: | "Intelligent Web Based Mentoring System for Higher Education", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.a275-a281, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305037.pdf |
| Downloads: | 000118757 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305037 Registration ID: 192621 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.34067 Page No: a275-a281 Country: Pune, Maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305037 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305037 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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