Psychological Analysis and Psychological Training of Piano Teaching Based on the Analysis of Emotional Characteristics

Xinjun Lan, Yanzhi Zhou

OAI: oai:igi-global.com:356384 • DOI: 10.4018/IJCINI.356384

Modern piano teaching theory attempts to explore the basic laws of modern piano teaching by using emotional feature recognition algorithm from the emotional level and in the analysis of emotional characteristics, deeply reveal the important value of emotion in piano teaching, and effectively improve the quality of piano teaching, which is also what this paper tries to clarify. This paper studies the psychology of piano teaching based on the emotional feature recognition method. In the proportion of piano teaching, when the number of experiments is 6, the average proportion of machine learning algorithm is 56.5%, the average proportion of decision tree algorithm is 55.1%, the average proportion of data mining algorithm is 58.7%, and the average proportion of this method is 61.8%. It can be seen that the proportion of this method in piano teaching is the highest. This method is used to cultivate students' learning enthusiasm, constantly overcome all kinds of difficulties, change restlessness, irritability and other bad mentality, so as to achieve better learning effect.