Application of Information Teaching in Vocal Music Assisted Practice in Mobile Internet Era

Abstract

Vocal music practices using the internet and mobile computing rely on the distinguishable pitch, note, and musical library information for ease of understanding. For addressing this problem an Assisted Data Processing Model for Tutor Function (ADPM-TF) is projected in this article. The proposed model learns the user requirements and their improvements based on training hours. The learned inputs are validated for the mishandled tutor sessions for identifying errors. The tutor assistance based on independent and joint (fused) data is recommended by the neural network learning based on previous session user performance/ rating. This process is streamlined depending on the user preference and switching ability over various sessions. The performance is validated using the metrics assistance ratio, error, processing time, and fusion rate.

Analysis of Learning Effectiveness Based on Knowledge Graph

“…However, existing researches on knowledge graph construction have some shortcomings in visual display, practical application of teaching and iterative evolution of knowledge graph [8]. At the same time, most of the existing researches on knowledge graph construction are oriented towards K12 basic education disciplines with relatively convergence in the field, while there are still deficiencies in the existing researches on higher education disciplines that are more open, more diverse and more focused on the combination of theory and practice [9,10]. How to closely combine the characteristics of higher education disciplines to explore the construction path and application methods of higher education curriculum knowledge graph is a problem that we need to further study.…”