The application of big data in education sparks debates on its effects. Researchers explore its impact on learning outcomes, with divergent views on neural networks' potential and negative consequences. This study assesses big data's influence on basic literacy skills in music education for 5th graders. Using clustering and k-density analyses, scholars monitored changes over 5 months at [Music College of Jimei University] Elementary School. Results show big data technologies helped maintain motivation and improved academic success. Musical performance and the Sounddraw app garnered the most interest and effectiveness. These results indicate that the use of big data technologies is not only effective in increasing engagement but also in enhancing the cognitive understanding of musical concepts. This adaptability is crucial in music education, where students' individual learning paces and creative inclinations vary widely. Moreover, by leveraging data-driven insights, educators can track progress more precisely, identifying areas where students excel and where they may need additional support. Future research should delve into the psycho-emotional impact of regular big data use in music learning. This study underscores the practical application of modern educational programs to meet evolving needs and advocates interactive learning to mitigate traditional methods' drawbacks.