The scientific and effective evaluation of classroom teaching quality is of great significance for assessing teaching outcomes and improving teaching quality.Traditional evaluation methods face three problems:the strong subjectivity of questionnaire scoring evaluation,difficulties in fully leveraging the natural language information of teaching assessment,and difficulties in full mining the objective data indicators of course inspection.This paper pro-poses artificial intelligence technology based on deep learning and machine learning to effectively evaluate classroom teaching quality.On one hand,deep learning can effectively identify a large amount of the hard natural language in-formation of teaching assessment and transform it into quantifiable indicators.On the other hand,machine learning technology can establish the artificial intelligence model of a large amount of objective data,so as as address the problem of quantitative evaluation.Finally,the method is validated in the practical application of educational evalua-tion,and results demonstrate its feasibility and effectiveness.
NETL
NSTL
万方数据
