Abstract Music visualization method investigation of the FPGA for pre-service kindergarten teachers the confidence and ability to teach musical influences. Specifically, the survey sought to determine the completion of a music visualization methods have participants’ self-efficacy teach music after significant changes. The Field-Programmable Gate Array (FPGA) pre-service teachers by examining young children, researchers visualize whether the source of self-efficacy within the range of visualization methods of university music instructor illuminates the confidence and ability to teach environmental impact of music and introspective. Quantitative exploratory design implemented in the FPGA, machine learning paradigm teacher. Focus on the quantitative collection and analysis, as well as small narrative ingredients are used to elaborate quantitative results. The Teachers are used in the creation, use and advantageous method of teaching music visualization method for early review of pre-service teachers of children. Data collection tool was adapted from previous research and development and a sense of self-efficacy, to reflect the distinctive characteristics of early childhood music teacher education settings. Whether it is music and music background checks teaching self-efficacy questionnaire obtained mainly quantitative data, while the open end of the opinion, students' thinking and focus group interviews caused narrative data. According to self-efficacy perceived change in self-efficacy for each source was revealed. The results showed that the students' self-efficacy scores over time a significant overall increase. The most influential source of self-efficacy beliefs are inactive master experience.