The impact and influence of big data (BD) on ideological and political education (IAPE) in colleges and universities. This research mainly discusses the innovation of college English teaching (ET) mode under the background of BD. First of all, pre-class teachers push teaching resources to students based on the students' existing knowledge base, so that students can learn the teaching resources on the teaching platform before class, and feedback through the BD information platform, which can effectively filter out the difficulties of knowledge. This is the first round of internalization of knowledge before class, allowing students to initially form the embryonic form of the knowledge system. Secondly, in the teaching process, teachers can form a cooperative inquiry study group based on the key knowledge points, difficulties and blind spots of the students' knowledge screened in the pre-class links to guide and help students to explore the problems in depth, and further improve the knowledge system. In the question "Do you like English teachers teaching using BD technology", more than 85% of the students chose to like it very much or prefer it. This research helps to improve the application of BD in teaching.

Huan Liu. Innovative Analysis of College English Teaching Mode under the Background of Big Data. International Journal of Educational Curriculum Management and Research (2021), Vol. 2, Issue 2: 8-14. https://doi.org/10.38007/IJECMR.2021.020202.

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