Examining the Potential of RobotGPT in Enhancing Learning: A Multimodal Fusion Analysis

Artificial intelligence represented by Chat GPT offers new possibilities for education including inquiry learning. This study attempts to utilize empirical research to conduct controlled experiments between educational robots based on generative AI and traditional digital learning methods such as videos and educational robots, and collects multimodal data such as video screen data and learning achievement data for fusion analysis, and the results show that RobotGPT can effectively enhance the learning experience and significantly improve the learning outcomes. Finally, relevant suggestions are made on how to advance the educational applications of generative AI.

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Published
2024-09-13
DOI
https://doi.org/10.1109/icet62460.2024.10867980
Primary Topic
AI in Service Interactions
Type
article
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article

Examining the Potential of RobotGPT in Enhancing Learning: A Multimodal Fusion Analysis

Jiahui Wang, Nan Xie, Jiayin Song, Lu Haipeng
AI in Service Interactions
article

Examining the Potential of RobotGPT in Enhancing Learning: A Multimodal Fusion Analysis

Jiahui Wang, Nan Xie, Jiayin Song, Lu Haipeng
article en

Abstract

Artificial intelligence represented by Chat GPT offers new possibilities for education including inquiry learning. This study attempts to utilize empirical research to conduct controlled experiments between educational robots based on generative AI and traditional digital learning methods such as videos and educational robots, and collects multimodal data such as video screen data and learning achievement data for fusion analysis, and the results show that RobotGPT can effectively enhance the learning experience and significantly improve the learning outcomes. Finally, relevant suggestions are made on how to advance the educational applications of generative AI.

Tongji University (CN)
Openalex Percentile: Top 75%
AI in Service Interactions
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