Research on Classroom Teaching Quality Evaluation Based on Artificial Intelligence Technology
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
