End-to-End Deployment of the Educational AI Hub for Personalized Learning and Engagement: A Case Study on Environmental Science Education

End-to-End Deployment of the Educational AI Hub for Personalized Learning and Engagement: A Case Study on Environmental Science Education

This study introduces an end-to-end framework for deploying conversational AI-enabled educational assistants, focusing on personalized support for students across diverse subject areas, including Business, Culture, Environmental Sciences, History, Politics, and Science, as outlined in our evaluation...

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Bibliographic Details
Main Authors: Ramteja Sajja, Yusuf Sermet, Ibrahim Demir
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Artificial intelligence (AI)
document parsing techniques
generative pre-training transformer (GPT)
large language models (LLM)
natural language processing (NLP)
personalized learning
Online Access:https://ieeexplore.ieee.org/document/10938135/
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https://ieeexplore.ieee.org/document/10938135/

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