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Paper Title

Revolutionizing Education through AI-driven Personalized E-Learning Systems

Article Identifiers

Registration ID: IJNRD_213435

Published ID: IJNRD2404207

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Keywords

personalized e-learning, alumni networking, LSTM, career guidance, intelligent systems

Abstract

The surge toward online education prompts exploration into AI-integrated e-learning systems, emphasizing their impact and role in modern education.Challenges persist in comprehending the influence of AI methodologies on online learning and learner performance, necessitating comprehensive research and A personalized e-learning system leveraging AI capabilities emerges, tailoring course recommendations and fostering user-alumni engagement, promising an effective, adaptive, and engaging educational experience. The integration of AI technologies, including algorithms like Long Short-Term Memory (LSTM), fuels the envisioned evolution of e-learning toward a more adaptive, effective, and personalized educational experience.

How To Cite (APA)

D. Rajesh, R.Bharkavi, Aswini.R, & Harshini Sree.M (April-2024). Revolutionizing Education through AI-driven Personalized E-Learning Systems. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), b877-b891. https://ijnrd.org/papers/IJNRD2404207.pdf

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Other Publication Details

Paper Reg. ID: IJNRD_213435

Published Paper Id: IJNRD2404207

Downloads: 000122003

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: Puducherry, Puducherry, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404207.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404207

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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Call For Paper - Volume 10 | Issue 10 | October 2025

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Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

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