AI-Enhanced Predictive Analytics for Pathway Optimization in Higher Education
Abstract & Details
Research Area
ARTIFICIAL INTELLIGENCE
Keywords
Predictive Modeling
Python
Data Visualization
MSSQL
Academic Progress Tracking
Predictive Modeling
Student Performance Prediction.
Abstract
This project aims to develop a comprehensive web-based system using the Django framework for optimizing the course selection and academic performance prediction process in higher education institutions. The system incorporates predictive modeling techniques to recommend suitable courses for prospective students based on their academic backgrounds and interests. Additionally, it provides real-time insights into student performance and predicts external examination marks, aiding academic advisors in offering personalized guidance. Through data visualization and comparison tools, the system offers a user-friendly interface for stakeholders to analyze prediction accuracy and track student progress effectively. Overall, this project aims to enhance the efficiency and effectiveness of academic advising and course selection processes in higher education institutions.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | MOHAMED FARHUN M, | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 2 | Goutam Sutar M | Thiagarajar College of Management |
| 3 | Nataraj B | Thiagarajar College of Management |
| 4 | Manikandan B A | Clairvoyant Software Technologies |
| 5 | Ravikumar S | Clairvoyant Software Technologies |
| 6 | Atchaya Durai D M | Clairvoyant Software Technologies |
| 7 | PRIYA L | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
How to Cite
Use the following formats to cite this article in your research.
APA Style
M,, MOHAMED FARHUN, M, Goutam Sutar, B, Nataraj, A, Manikandan B, S, Ravikumar, M, Atchaya Durai D, & L, PRIYA (2024). AI-Enhanced Predictive Analytics for Pathway Optimization in Higher Education. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 2949-2957.
MLA Style
M,, MOHAMED FARHUN, et al. "AI-Enhanced Predictive Analytics for Pathway Optimization in Higher Education." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 2949-2957.
IEEE Style
MOHAMED FARHUN M,, Goutam Sutar M, Nataraj B, Manikandan B A, Ravikumar S, Atchaya Durai D M, and PRIYA L, "AI-Enhanced Predictive Analytics for Pathway Optimization in Higher Education," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 2949-2957, 2024.
Vancouver Style
M, MOHAMED FARHUN, M Goutam Sutar, B Nataraj, A Manikandan B, S Ravikumar, M Atchaya Durai D, et al. AI-Enhanced Predictive Analytics for Pathway Optimization in Higher Education. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):2949-2957.
Harvard Style
M,, MOHAMED FARHUN, M, Goutam Sutar, B, Nataraj, A, Manikandan B, S, Ravikumar, M, Atchaya Durai D, & L, PRIYA (2024) 'AI-Enhanced Predictive Analytics for Pathway Optimization in Higher Education', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 2949-2957.
Chicago Style
M,, MOHAMED FARHUN, et al. "AI-Enhanced Predictive Analytics for Pathway Optimization in Higher Education." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 2949-2957.
Turabian Style
M,, MOHAMED FARHUN, et al. "AI-Enhanced Predictive Analytics for Pathway Optimization in Higher Education." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 2949-2957.
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