Intelligent Technologies for Music Education: Improving Engagement and Learning Outcomes
Keywords:
Artificial Intelligence, Music Education, Classroom Engagement, Learning Outcomes, Web CrawlerAbstract
The study looks into the effects of the use of artificial intelligence (AI) technology in music education. The data was collected from a music education website via the method of web crawling with regard to the effects of AI technology on class engagement and academic results. A quantitative research design was used. It was found out that the post-test means of the experimental group, where AI tools were used, were significantly higher than the improvement seen in the control group. A t-test showed the existence of a statistically significant increase in the academic performance of students due to the use of intelligent technology. Moreover, the interest in interactive personalized music courses enhanced by the use of AI technology was also evident by the high number of views, likes, and comments of the students. Despite some limitations of the study, its results demonstrate that there are definite benefits from the use of AI technology in music education.Downloads
Published
2025-10-31
How to Cite
Chen, F. (Clay). (2025). Intelligent Technologies for Music Education: Improving Engagement and Learning Outcomes. Journal of Knowledge Engineering and Social Development, 2(1), 58–62. Retrieved from https://jkesd.com/index.php/JKESD/article/view/41
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