Construction of Teachers Performance Evaluation Index System for Data-Driven Smart Classrooms in Secondary Schools

Abstract

Smart classroom is a new teaching paradigm for the digital transformation of education, which utilizes methods such as audio and video intelligent recognition, model construction, and data mining to evaluate teaching effectiveness and quality, in order to achieve automatic and full process evaluation and feedback of teacher teaching quality. This article is based on the massive real-time audio and video data generated by smart classrooms. By mining the hidden patterns and values of educational and teaching data, and using the Delphi method to construct a data-driven performance evaluation index system for secondary schools smart classroom teachers, it can fully reflect the real performance of secondary schools teachers in the smart classroom, achieving a comprehensive, all staff, fair, and objective evaluation of secondary schools teachers, overcoming the shortcomings of traditional evaluation methods.