Analysis of the Correlation between Teachers' Digital Competence Construction and Basic Education Quality Improvement Based on Adaptive Algorithm

Abstract

The digital transformation of education is an important strategic choice for building a high-quality development education system in the new era, and the digital transformation of basic education is inevitable in line with the development of the times. This paper explores the impact of teachers' digital competence on the quality of basic education from the dimension of teachers' competence. Teachers' digital teaching ability is divided into four dimensions: teaching design ability, teaching organization and implementation ability, teaching management and evaluation ability, and teaching development ability, and the level of teachers' digital teaching development is investigated. By establishing an adaptive multiple linear regression model, the correlation analysis between the development level of teachers' digital teaching ability and the quality of basic education, and the linear regression analysis, the relationship between teachers' digital teaching ability and the quality of basic education was obtained. The model R2 value of the adaptive multiple linear regression model is 0.833, and the model passes the F test. It indicates that at least one of digital instructional design competencies, organizational and implementation competencies, management and evaluation competencies, developmental competencies, and digital pedagogical literacy will have an impact on the quality of basic education.