This paper combines the questionnaire survey data to construct an evaluation system of digital teaching competence of information technology teachers that contains 5 primary indicators and 25 secondary indicators. Six male factors are extracted from it to construct the digital teaching competence influence model, and relevant hypothesis testing is carried out to find the degree of influence of each factor on teachers’ digital teaching competence. Through the necessity condition test and qualitative comparative analysis, each combination of factors is mined to explain the level. Based on the quantitative calculation results, the strategies for improving digital teaching competence of IT teachers are proposed. The results showed that there were eight hypothesized P0.05 for the internal variables, indicating that most of the influential factors significantly affect the level of teachers’ digital competence. The p-value of the difference between the path coefficients of gender and age is less than 0.001, which is significantly related to teacher competence. The overall consistency of the five grouped paths is about 0.897, the overall coverage is about 0.807, and the model has a strong ability to explain teachers’ digital teaching competence.
