AIGC Empowers Music Classroom: Innovation of Multiple Teaching Evaluation Models

Abstract

This paper discusses the application and innovation path of artificial intelligence (AI) technology in classroom teaching evaluation
in primary and secondary schools. With the release of the Overall Plan for Deepening the Reform of Educational Evaluation in the New
Era and the Notice of the Ministry of Education on the Implementation of the Second Batch of Pilot Work of Artificial Intelligence to Boost
the Construction of Teacher Team, China is actively promoting the in-depth application of AI technology in the field of educational evaluation. This paper first introduces how AI technology can empower smart classroom teaching through big data analysis and visual presentation,
and improve teaching quality and learning effect. Then, taking music classroom teaching as an example, the application status and effect of
AIGC (generative artificial intelligence) in music classroom teaching evaluation were demonstrated through the cases of Xinghai Conservatory of Music, Lu Wei Primary and Secondary School Music Teacher Studio, Music Department of Jiageng College of Xiamen University and
Hangzhou No. 7 Middle School. Then, this paper expounds the innovative construction of multiple teaching evaluation modes in music classrooms under the empowerment of AIGC, including the diversification of evaluation content, evaluation methods and evaluation tools. Finally,
this paper points out that the AI-assisted classroom multiple evaluation model poses new challenges to primary and secondary school teachers,
requiring teachers to improve data literacy, rationally apply AI technology, strengthen the thinking of home-school collaborative education,
and promote the integrated development of teaching evaluation.