AI-Driven Adaptive Learning System for Personalized Education
Abstract
This design proposes an AI-driven adaptive learning platform that personalizes educational content based on individual learning patterns, preferences, and progress. By leveraging deep learning algorithms, the system analyzes students' performance in real-time and adjusts the difficulty level, content type, and pace of learning. The AI also integrates with natural language processing to provide instant feedback, improving student engagement and retention. The system can be applied in diverse educational settings, from primary schools to universities, and can also be used for professional development and training programs.
References
Krutthika Hirebasur Krishnappa. (2024). Traffic pattern analysis for malicious node detection in NoC design” Journal of Communications. 9(12). DOI: 10.12720/jcm.19.12.580-588
Krutthika H. K. & A.R. Aswatha. (2021). Implementation and analysis of congestion prevention and fault tolerance in network on chip. Journal of Tianjin University Science and Technology, 54(11), 213–231. https://doi.org/10.5281/zenodo.5746712
Krutthika H. K. & A.R. Aswatha. (2020). FPGA-based design and architecture of network-on-chip router for efficient data propagation. IIOAB Journal, 11(S2), 7–25.
Krutthika H. K. & A.R. Aswatha (2020). Design of efficient FSM-based 3D network-on-chip architecture. International Journal of Engineering Trends and Technology, 68(10), 67–73. https://doi.org/10.14445/22315381/IJETT-V68I10P212
Krutthika H. K. & Rajashekhara R. (2019). Network-on-chip: A survey on router design and algorithms. International Journal of Recent Technology and Engineering, 7(6), 1687–1691. https://doi.org/10.35940/ijrte.F2131.037619
S. Ajay, et al., & Krutthika H. K. (2018). Source hotspot management in a mesh network-on-chip. 22nd International Symposium on VLSI Design and Test (VDAT-2018). https://doi.org/10.1007/978-981-13-5950-7_51
Krutthika Hirebasur Krishnappa, & Nithin Vajuvalli Narayana Gowda (2023). Dictionary-based PLS approach to pharmacokinetic mapping in DCE-MRI using Tofts model. 8th Edition ICT4SD International ICT Summit & Awards, Vol.3, 219–226. https://doi.org/10.1007/978-981-99-4932-8_21
R. Harinandan, et al., & Krutthika Hirebasur Krishnappa. (2024). Design and development of a real-time monitoring system for ACL injury prevention. 2024 2nd International Conference on Networking, Embedded, and Wireless Systems (ICNEWS). https://doi.org/10.1109/ICNEWS60873.2024.10730969
Krutthika Hirebasur Krishnappa, Shashidhar, R. et al., (2023). Detecting Parkinson's disease with prediction: A novel SVM approach. 2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE), 1–7. https://doi.org/10.1109/AIKIIE60097.2023.10390195
Krutthika Hirebasur Krishnappa (2024). Traffic pattern analysis for malicious node detection in NoC design. Journal of Communications, 9(12).
Madhura, R., Krutthika Hirebasur Krishnappa. et al., (2023). Slack time analysis for APB timer using Genus synthesis tool. 8th Edition ICT4SD International ICT Summit & Awards, Vol.3, 207–217. https://doi.org/10.1007/978-981-99-4932-8_20
Shashidhar, R., Aditya, V., Srihari, S., Subhash, M. H., & Krishnappa, K. H. (2023). Empowering investors: Insights from sentiment analysis, FFT, and regression in Indian stock markets. 2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE), 01–06. https://doi.org/10.1109/AIKIIE60097.2023.10390502
Adusumilli, S., Damancharla, H., & Metta, A. (2020). Artificial Intelligence-Driven Predictive Analytics for Educational Behavior Assessment. Transactions on Latest Trends in Artificial Intelligence, 1(1). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/638
Adusumilli, S., Damancharla, H., & Metta, A. (2020). Machine Learning Algorithms for Fraud Detection in Financial Transactions. International Journal of Sustainable Development in Computing Science, 2(1). Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/639
Adusumilli, S., Damancharla, H., & Metta, A. (2021). Deep Learning Techniques for Image Recognition in Autonomous Vehicles. (2021). International Meridian Journal, 3(3). https://meridianjournal.in/index.php/IMJ/article/view/94
Adusumilli, S., Damancharla, H., & Metta, A. (2021). Integrating Machine Learning and Blockchain for Decentralized Identity Management Systems. (2021). International Journal of Machine Learning and Artificial Intelligence, 2(2). https://jmlai.in/index.php/ijmlai/article/view/46
Adusumilli, S., Damancharla, H., & Metta, A. (2022). Blockchain-Based Secure Framework for IoT Data Management. International Journal of Sustainable Development in Computing Science, 4(1). Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/640
Adusumilli, S., Damancharla, H., & Metta, A. (2022). Optimizing Supply Chain Efficiency Through Blockchain and Smart Contracts. (2022). International Numeric Journal of Machine Learning and Robots, 6(6). https://injmr.com/index.php/fewfewf/article/view/183
Adusumilli, S., Damancharla, H., & Metta, A. (2023). Enhancing Data Privacy in Healthcare Systems Using Blockchain Technology. Transactions on Latest Trends in Artificial Intelligence, 4(4). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/637
Adusumilli, S. B. K., Damancharla, H., & Metta, A. R. (2021). AI-Powered Cybersecurity Solutions for Threat Detection and Prevention. International Journal of Creative Research In Computer Technology and Design, 3(3).
Adusumilli, S. B. K., Damancharla, H., & Metta, A. R. (2020). Leveraging AI for Real-Time Sentiment Analysis in Social Media Networks. International Numeric Journal of Machine Learning and Robots, 4(4).
Dhaiya, S., Pandey, B. K., Adusumilli, S. B. K., & Avacharmal, R. (2021). Optimizing API Security in FinTech Through Genetic Algorithm based Machine Learning Model.
Manoharan, G., Mishra, A. B., Adusumilli, S. B. K., Chavva, M., Damancharla, H., & Lenin, D. S. (2024, May). Supervised Learning for Personalized Marketing Strategies. In 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (pp. 1-6). IEEE.
Adusumilli, S. B. K. (2024). SCALABLE SOFTWARE ARCHITECTURE FOR DYNAMIC THREAT DETECTION AND MITIGATION IN IOT. Machine Intelligence Research, 18(1), 468-481.
Adusumilli, S. B. K. (2023). TOWARDS ENERGY-EFFICIENT AIML INFERENCE ON EDGE DEVICES SOFTWARE SOLUTIONS AND CHALLENGES. Journal of Engineering Sciences, 14(11).
