In this research, basic music theories and notations are integrated to extract parameters of features for operatic singing concerning tonal dynamics, pitch, and breathing control. Pedagogic strategy is devised for students learning vocal performance in tertiary institutions, and a data mining service system architecture is designed to provide efficient informatization service delivery. Ninety vocal-performance students studying in the undergraduate program act as the subjects of the research and are divided into three teaching groups according to different pedagogic methods used for instruction. An analysis of the individual case study illustrates the implementation process of the proposed instruction method and measures the results obtained from the overall teaching practice. Compared with teaching group G1, there is a 30.00%, 36.66%, and 36.67% increase in pitch, rhythm, and soprano, respectively, for teaching group G3; compared with teaching group G2, there is a 43.33%, 33.33%, and 33.33% increase in pitch, rhythm, and soprano, respectively. The developed pedagogic method helps identify and adaptively adjust vocal problems in an accurate manner using the database to accumulate and optimize teaching resources continuously.
