Research on the Value added Evaluation of Digital Competence of University Teachers from the Perspective of Education DigitalizationMotion

Abstract

In the context of AI, Internet and big data technology accelerating the digital transformation of education, the digital competency of college teachers has become the core element to promote the modernization of higher education. Based on the industry standard of "Teacher Digital Literacy", the four primary indicators of digital basic ability and digital teaching ability are refined into 12 secondary indicators (such as hardware and network access ability, proficiency in online teaching platform operation, etc.). Using the fuzzy Delphi method to aggregate expert fuzzy judgments (five level language variables and triangular fuzzy number conversion), combined with the Analytic Hierarchy Process (AHP) to construct a fuzzy pairwise comparison matrix, and ensuring the rationality of weights through consistency testing (CR<0.1), ultimately forming a comprehensive weight system that integrates subjective and objective factors ( =0.7), achieving scientific quantification of indicator importance. Constructing a "static weighting+dynamic evolution" model, calculating the static competence score SS of universities through the weight vector W. Empirical evidence shows that the teacher competence of Double First Class universities ( 1=0.82) and the eastern region ( 1=0.75) has significantly increased, and policies such as digital training center coverage and intelligent teaching subsidies have a marginal effect of 48% on western universities.