International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Bio-Inspired Meta-Learning (Student Performance Prediction) |
|---|---|
| ABSTRACT | The rapid growth of educational data has created opportunities to analyze and predict student performance using intelligent computational techniques. This project introduces a Bio-Inspired Meta-Learning model that leverages the principles of natural intelligence—such as evolution, adaptation, and self-organization—to enhance predictive accuracy and learning efficiency. The system integrates meta-learning (learning-to-learn) methods with bio-inspired optimization algorithms like Genetic Algorithms or Particle Swarm Optimization to dynamically adjust model parameters based on student data patterns. By continuously learning from new data, the model can effectively predict individual student performance, identify at-risk learners, and recommend personalized learning strategies. The proposed framework demonstrates improved adaptability, scalability, and precision compared to traditional machine learning approaches, making it a powerful tool for data-driven educational decision-making. |
| AUTHOR | DR.SHAH.S.N, ASHISH BANSODE, ANIKET DARADE, ATISH SATHE Head of Department of Computer Engineering, SSPM’s SharadchandraPawar of Engineering and Technology, Someshwarnagar, Baramati, Maharastra, India Students, SSPM’s SharadchandraPawar of Engineering and Technology, Someshwarnagar, Baramati, Maharastra, India |
| VOLUME | 184 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1405080 |
| pdf/80_Bio-Inspired Meta-Learning (Student Performance Prediction).pdf | |
| KEYWORDS | |
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