The Effective Integration of Information Technology in Higher Education English Teaching in the Context of the Internet+

In the context of the Internet+, this research aims to explore the systematic requirements for the deep integration of information technology into higher education English teaching. A model of an adaptive English learning system based on user profiles and knowledge graphs is constructed. This model employs modular system architecture design and algorithm-driven approaches to achieve functions such as online resource development, environmental adaptation, and intelligent interaction. The study demonstrates that the system can effectively manage a vast amount of online learning resources, create precise personalized user profiles, and provide adaptive learning path recommendations based on advanced deep learning and reinforcement learning algorithms. Test results indicate that this model architecture exhibits good scalability and fault tolerance, enhancing resource utilization efficiency and interaction experience. Overall, this research provides a practical technological path and system implementation solution for the transformation and upgrade of current higher education English teaching models. However, it should be noted that the transformation of teaching concepts and methods requires systematic promotion, and further exploration and practice are expected.