International Journal of Education

This study aims to explore innovative approaches for digitally empowering college English teaching, in response to China’s educational digitalization strategy and to address existing challenges such as unequal resource distribution and insufficient personalized learning support. Based on the current state of college English teaching, the study integrates connectivism, personalized learning theory, and blended learning theory to construct a theoretical framework centered on the deep integration of intelligent technologies. It proposes three systematic practical paths: reconstructing an “intelligent-blended” teaching model that utilizes data-driven approaches to optimize teaching processes and provide personalized learning support; establishing a generative dynamic resource library that employs AI technology to transform resources from uniform supply to on-demand generation; and implementing data-driven precise teaching and evaluation by building a process-oriented, multi-dimensional assessment system. The study emphasizes the need for corresponding measures including enhancing digital literacy among both teachers and students, ensuring balanced allocation of infrastructure, and establishing ethical guidelines for technology application to guarantee effective implementation. The findings demonstrate that deeply integrating technology into teaching design and practice can effectively transform college English classrooms from mere tool application to genuine pedagogical innovation, ultimately creating a student-centered teaching mode that contributes significantly to digital transformation in higher education and the improvement of teaching quality.

College English teaching; Digital empowerment; Intelligent teaching pathways