Paper Title
Revolutionizing Education through AI-driven Personalized E-Learning Systems
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Authors
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.
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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
Issue
Volume 9 Issue 4, April-2024
Pages : b877-b891
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Paper Reg. ID: IJNRD_213435
Published Paper Id: IJNRD2404207
Downloads: 000122003
Research Area: Computer Science & TechnologyÂ
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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