 Construction of an AI-driven personalized training system for live streaming scripts and verification of educational effectsKun Peng (), Dorothy DeWitt () and Seng Yue Wong () International Journal of Innovative Research and Scientific Studies, 2025, vol. 8, issue 4, 1079-1088 Abstract: We propose an AI-driven personalized script training system for live streaming, integrating natural language processing (NLP) and reinforcement learning (RL) to enhance educational effectiveness. The system automatically generates base scripts using an NLP module and then personalizes them through an RL strategy that adapts to individual user performance. A reward function is designed to capture key metrics such as audience engagement and learning outcomes, guiding the RL agent in optimizing script delivery. The overall architecture operates in a closed loop: script suggestions are generated, tried in practice sessions, and then refined based on feedback. Experimental validation demonstrates that this approach improves presenter engagement and audience learning outcomes, highlighting the potential of AI-driven personalization in educational live streaming. Keywords: Live streaming; Natural language processing; Personalization; Reinforcement learning. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:aac:ijirss:v:8:y:2025:i:4:p:1079-1088:id:8006 Access Statistics for this article International Journal of Innovative Research and Scientific Studies is currently edited by Natalie Jean More articles in International Journal of Innovative Research and Scientific Studies from Innovative Research Publishing |
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