Index System Construction and Model Analysis of University Teachers’ Data Literacy Ability

Abstract

The research on the index system construction and model analysis of data literacy ability of university teachers has influenced the development of academic field, and the rapid development of information digitization technology has brought about a torrent of data. University teachers’ life, work and learning are profoundly affected by the big data environment, and the level of data literacy of university teachers will play a vital role in the development of information society. On this basis, the index system of teachers’ data literacy is introduced. The effectiveness of the data literacy model of university teachers will become an important index. According to the analysis results, the fuzzy comprehensive evaluation method is used to determine the index weight of teachers’ data literacy ability and the hierarchical model is established to analyze it. The scale of the ability index is calculated, and the weight of the teacher’s data literacy index is determined. The experimental results show that the proposed method is accurate and effective.