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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 22653
Article Published : 8822
Total Authors : 23281
Total Reviewer : 825
Total Countries : 161
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Published Paper Details
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| Paper Title: | Student Performance Predictor |
| Authors Name: | Siddharth Ramdas Naiknavare , Prathamesh Sudhir Kumbhar , Kirti Dattu Randive , Mangesh Mahesh Teli |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_209338
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| Published Paper Id: | IJRTI2602027 |
| Published In: | Volume 11 Issue 2, February-2026 |
| DOI: | |
| Abstract: | Student performance prediction helps teachers understand how students may perform in exams. Finding weak students early can improve their results. This project predicts student performance without using machine learning. It uses simple data like attendance, test marks, and assignment scores. Basic rules and calculations are used to predict whether a student’s performance is good or poor. The system is easy to use and useful for schools and colleges. |
| Keywords: | Educational Data Mining (EDM), Student Performance Prediction, without using Machine Learning, Random Forest, Feature Selection, Academic Success, Early Intervention, Learning Analytics. |
| Cite Article: | "Student Performance Predictor", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 2, page no.a229-a231, February-2026, Available :http://www.ijrti.org/papers/IJRTI2602027.pdf |
| Downloads: | 000135 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2602027
Registration ID:209338
Published In: Volume 11 Issue 2, February-2026
DOI (Digital Object Identifier):
Page No: a229-a231 Country: Atpadi, Sangli, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2602027 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2602027 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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