Analysis of English Teaching Mode Innovation in Colleges and Universities under the Perspective of Big Data

Abstract

This article discusses in depth the innovation strategy of English teaching mode in colleges and universities under the perspective
of big data, aiming at solving the challenges faced by the traditional teaching mode in the era of information technology. The article firstly
puts forward the main problems existing in the current English teaching in colleges and universities, including the dispersion of learning
resources, students’ insufficient knowledge of English learning and inappropriate learning methods. Subsequently, three major innovative
strategies are proposed: using big data to optimise the design of personalised learning paths, constructing data-driven teaching content and
assessment systems based on data, and promoting the integration of collaborative learning and practical applications. Through real-life case
studies, the paper demonstrates how these strategies can be implemented in concrete terms and discusses their positive impacts on improving
teaching efficiency, enhancing learning experiences, and fostering students’ comprehensive English application skills. Finally, it summarises
the important role of big data technology in the innovation of English teaching in colleges and universities, and looks forward to the future
development trend of the teaching model. This paper provides innovative ideas and practical guidance based on big data technology for the
field of English teaching in colleges and universities, aiming to promote the continuous improvement of education quality and optimisation
of learning effects.