Abstract Book of the 8th International Conference on Advanced Research in Education
Year: 2025
DOI:
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Harnessing AI-Generated Music for English Grammar Mastery a Groundbreaking Study
Lingling Liu
ABSTRACT:
The potential of music to activate the brain and enhance learning is widely recognized (Arleo, 2019; Hidayati, 2020), but its application in English education remains underexplored. Grammatical errors in popular songs can mislead students, and creating educational songs requires specialized knowledge, posing challenges for teachers (Liu, 2023). AI music generation technology offers a convenient solution by tailoring songs for educational purposes. While its benefits in English education have been demonstrated (Takano, 2024; Liu, 2024), its effectiveness in grammar instruction warrants further research. This study conducted a two-week investigation involving 26 university students in China, divided into experimental and control groups of 13 students each. The experimental group used AI-generated English songs, while the control group followed traditional methods. Results revealed significant improvements in grammar retention and comprehension among the experimental group, leading to more stable and enduring learning outcomes. There was a significant difference in scores between the experimental and control groups (p < 0.05). The study confirms the potential of AI-generated songs to enhance English grammar learning, particularly by increasing student engagement and motivation. These findings suggest that AI-generated music could complement traditional language learning methods, leading to more effective and enjoyable educational experiences. Further research with larger samples and in diverse contexts is recommended to fully realize AI’s benefits in language education and explore its broader applications.
keywords: AI Technology; Educational Songs; Grammar Acquisition; Grammar Retention; Student Engagement