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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Podrobná bibliografie

Hlavní autoři:	Ramteja Sajja, Yusuf Sermet, Ibrahim Demir
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Artificial intelligence (AI) document parsing techniques generative pre-training transformer (GPT) large language models (LLM) natural language processing (NLP) personalized learning
On-line přístup:	https://ieeexplore.ieee.org/document/10938135/
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