Study of Intelligent Innovation Path for Distance Learning of Piano Performance Majors from the Perspective of Big Data

DOI: https://doi.org/10.62517/jbdc.202301311

Author(s)

Wei Sun

Affiliation(s)

School of Music and Dance, Guangdong Teachers College of Foreign Language and Arts, Guangzhou, Guangdong, China

Abstract

As a cutting-edge technology in contemporary times, big data technology has brought new vitality into the field of distance learning of the piano performance. Its enormous potential and value are reflected in the optimization and improvement of existing distance learning models. Through big data technology, the piano performance education can achieve personalized learning and accurately connect with the unique needs and learning characteristics of different students. In addition, in the piano performance education model, teachers can conduct targeted teaching based on the actual situation of students, making teaching differentiation be possible and improving teaching effectiveness. The big data technology also helps to improve the quality of the teaching team and enhance the teaching level and professional competence of teachers. To ensure that the distance learning of the piano performance truly enters the era of intelligence, it is necessary to actively cultivate the big data awareness of relevant personnel, build a diversified and professional teaching team, and build an intelligent learning platform.

Keywords

Big Data; Piano Performance Major; Distance Learning; Intelligence; Innovation Path

References

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