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International Journal of Educational Innovation and Science, 2024, 5(1); doi: 10.38007/IJEIS.2024.050111.

Analysis and Research on Audience Engagement and Learning Satisfaction of AI-Based Educational Live Broadcast

Author(s)

Yanyun Guo

Corresponding Author:
Yanyun Guo
Affiliation(s)

Philippine Christian University, Manila, Philippine

Abstract

This study conducted an in-depth analysis based on the question of how AI (artificial intelligence) technology affects audience engagement and learning satisfaction in educational live broadcasts. To solve this problem, the study used a combination of questionnaire surveys and data analysis to collect feedback data from audiences who participated in AI education live courses, and conducted quantitative analysis using statistical software. The results showed that the average participation rate of AI-based education live broadcasts was 97.19%, and the highest learning satisfaction rate reached 92.9%. This result shows that the application of AI technology in educational live broadcast can effectively enhance the audience's interactive experience and learning effect. Therefore, the study believes that AI technology is an effective strategy to improve the quality of educational live broadcast and the audience's learning experience, and it is worthy of further promotion and application in the field of education.

Keywords

AI education live broadcast; audience participation; learning satisfaction; intelligent interaction; education effect evaluation

Cite This Paper

Yanyun Guo. Analysis and Research on Audience Engagement and Learning Satisfaction of AI-Based Educational Live Broadcast. International Journal of Educational Innovation and Science (2024), Vol. 5, Issue 1: 88-95. https://doi.org/10.38007/IJEIS.2024.050111.

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