Design of Seamless Learning and Intelligent Teaching Model for College English Based on the Rain Classroom Platform
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DOI: 10.25236/icfmhss.2025.011
Corresponding Author
Wang Wei
Abstract
This study addresses the field of college English teaching and investigates the seamless learning and intelligent teaching model based on the Rain Classroom platform. By examining the theory of seamless language learning, the importance of breaking the boundaries of learning environments and integrating formal and informal learning is elucidated. The data statistical analysis functions of the Rain Classroom intelligent teaching platform and its auxiliary role in various teaching activities are discussed in detail, and a teaching model based on this platform is developed. This model achieves seamless integration from multiple dimensions, including learning time, space, and content, thereby providing students with a coherent, flexible, and efficient learning experience. It significantly enhances the effectiveness of college English teaching and the achievement of learning objectives, thereby offering new insights and practical references for the reform of college English teaching.
Keywords
Rain Classroom Platform; College English; Seamless Learning; Intelligent Teaching Model