Research on Precise Teaching Strategies for College English Based on Artificial Intelligence Technology and Big Data Analysis

Abstract

With the deep development of information technology, artificial intelligence and big data analysis provide new possibilities for resolving the contradiction between standardized education and personalized cultivation in college English teaching. Based on learning theories, data science, and the logic of technology enablement, this study systematically constructs an application model encompassing the generation of personalized learning paths, dynamic regulation of the teaching process, and intelligent integration of resource evaluation. Furthermore, it proposes a precision teaching strategy system centered on a multidimensional design framework, key operational procedures, and a continuous optimization mechanism. The research demonstrates that through the deep integration of data-driven approaches and intelligent algorithms, a paradigm shift from standardized teaching to precise intervention can be achieved, effectively enhancing both teaching efficiency and learning experience. This study provides systematic theoretical support and practical pathways for the reform of college English teaching.