Innovative Research on Collaborative Design of Blended English Teaching in Higher Vocational Colleges Based on Digital Technology

Abstract

By combining the advantages of online teaching and offline teaching under digital technology, blended teaching can break the limitation of time and space, which reflects the transformation of the “student-centered” teaching paradigm. With the expansion of the blended teaching scale, how to analyze and match the features through the data of learners’ learning behaviors to improve their learning efficiency and teachers’ teaching level and quality has become an urgent problem. Therefore, in this paper, collaborative design is carried out for blended English teaching platform in higher vocational colleges, where students’ cognitive ability and difficulty of teaching resources are cooperatively matched. At the same time, blended recommendation of teaching resources is implemented based on collaborative filtering algorithm, thus developing a matching algorithm in light of the above dynamic adjustment. The results of the iterative test show that the platform can optimize the current English teaching mode and enhance the learning feedback between teachers and students, thus improving students’ English learning level.