Innovation of Information Literacy Training Mode for Teachers of Finance and Economics in Higher Vocational Colleges in the Era of Big Data

With the continuous development and progress of the big data era, the requirements for information data processing ability in the teaching profession have become more and more stringent. This study first analyzes the composition of information literacy, and designs a training model based on task and project learning for the relationship between the composition of information literacy of finance and economics teachers in higher vocational colleges and universities. Then the training effect was examined using the fuzzy comprehensive evaluation algorithm, and a regression model was constructed for the influencing factors of training effectiveness. Finally, the combination of the constructed information literacy evaluation indicators provides a scientific basis for the empirical analysis. In the analysis, it can be seen that the average value of the first-level indicators is between 4.575 and 4.742, and the average value of the second-level indicators is between 4.259 and 4.955, which indicates the scientific nature of the evaluation index system in this paper. And in the regression analysis, the impact coefficients of training courses and training design are the highest, 3.45 and 3.44 respectively, and all the dimensions of the information literacy training model for finance and economics teachers designed in this paper are higher than 85 points. The training model in this paper has excellent performance in teachers’ information literacy training and provides a proven model for information literacy training of higher vocational finance and economics teachers.