Li Yang
School of Music, Shandong Normal University, Jinan, China.
Front Psychol. 2021 Oct 25;12:657788. doi: 10.3389/fpsyg.2021.657788. eCollection 2021.
The study is intended to explore the teaching mode of instrumental music teaching in normal college, so as to have qualified instrumental music teaching talents. Based on relevant content of educational psychology, the current instrumental music teaching model of normal college should be reformed in terms of curriculum content, teaching mode, and teaching methods, and a more systematic and standardized education model should be established. As per Orff's music teaching method, a music recommendation model is established based on the convolutional neural network model to provide students with a positive and happy learning environment for instrumental music, and music materials that meet their personal preferences and performance level through user data. The outcomes show that the designed music recommendation model has a music recommendation accuracy rate of 0.3 and a recall rate of 0.29 when the recommendation list is 30, which conforms to the general rules of the music recommendation system. The study is expected to provide reference for establishment of a standardized and systematic instrumental music teaching strategy in normal college.
本研究旨在探索高等师范院校器乐教学的教学模式,以培养合格的器乐教学人才。基于教育心理学的相关内容,当前高等师范院校的器乐教学模式应在课程内容、教学模式和教学方法等方面进行改革,并建立更系统、规范的教育模式。根据奥尔夫音乐教学法,基于卷积神经网络模型建立音乐推荐模型,为学生提供积极、愉快的器乐学习环境,并通过用户数据为他们提供符合个人喜好和演奏水平的音乐素材。结果表明,当推荐列表为30时,所设计的音乐推荐模型的音乐推荐准确率为0.3,召回率为0.29,符合音乐推荐系统的一般规律。本研究有望为高等师范院校建立标准化、系统化的器乐教学策略提供参考。