基于大数据的重庆小学音乐素质测评系统构建研究

Research on the Construction of Chongqing Primary School Music Quality Evaluation System Based on Big Data

艺术素质测评有利于中小学艺术教育的发展,音乐素质测评作为其中重要的组成部分,对提高学生审美素质、促进小学音乐教学发挥了导向性作用。音乐素质测评提档升级既是解决现存问题的外在要求,也是精准实施的内在需要。借助大数据能更好地呈现师生审美发展轨迹、展示审美表现并智能化处理资料。基于大数据技术构建小学音乐素质测评系统是美育评价迈向智能化、系统化、客观化的必然结果,按照七个维度、三种评价方法构建音乐素质评测体系,能够及时有效反馈学生、教师、家长、学校、教育主管部门五大主体的不同关切和诉求,切实提升音乐素质测评的准确性、有效性和全面性。

The evaluation of artistic quality is conducive to the development of art education in primary and secondary schools.As an important component of music quality evaluation,it plays a guiding role in improving students'aesthetic quality and promoting primary school music teaching.Upgrading music quality assessment is not only an external requirement to solve existing problems,but also an internal need for precise implementation.By leveraging big data,we can better present the trajectory of aesthetic development for teachers and students,showcase aesthetic performance,and intelligently process information.The construction of a primary school music quality evaluation system based on big data technology is an inevitable result of aesthetic education evaluation moving towards intelligence,systematization,and objectivity.Constructing a music quality evaluation system based on seven dimensions and three evaluation methods can timely and effectively provide feedback on the different concerns and demands of students,teachers,parents,schools,and education authorities,effectively improving the accuracy,effectiveness,and comprehensiveness of music quality evaluation.