Effect analysis of AI-assisted multimedia creation platform in college teaching

Re Chen, Heidi Tan Yeen Ju and Neo Mal

Data and Metadata, 2024, vol. 3, .615

Abstract: Introduction：Recent advancements in educational technologies, particularly the integration of artificial intelligence (AI), have transformed the creation, distribution, and consumption of educational materials. This study explores the impact of an AI-assisted multimedia creation platform (AI-MCP) on college teaching, emphasizing its role in enhancing the teaching and learning experience by utilizing AI's capabilities alongside rich multimedia content. Methods:The AI-MCP architecture was developed to facilitate interaction with students through features such as speech recognition, visual perception, and intelligent behavior, all of which foster a humanistic approach to learning. The framework incorporates the Advanced Monkey Search Algorithm (AMSA) to manage and optimize the teaching system across diverse records, data, and multimedia elements. Traditional assessment methods were employed to compare student performance outcomes and evaluation metrics against conventional teaching methods. Results:The implementation of the AI-MCP demonstrated significant improvements in student engagement and understanding across various information technology disciplines. Performance metrics indicated enhanced learning outcomes, suggesting that the integration of AI technologies can effectively support instructional design and student interaction. Conclusion:This study confirms that AI-assisted multimedia platforms can significantly enhance college teaching by improving student performance and engagement. The findings advocate for the broader adoption of AI-MCP in educational settings, highlighting its potential to revolutionize the teaching and learning process in higher education.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:3:y:2024:i::p:.615:id:1056294dm2024615

DOI: 10.56294/dm2024615

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