Research on the Construction and Application of a Blended Teaching Model for Undergraduate English Courses Based on Technological Empowerment

Abstract

As vocational education is transitioning to the undergraduate level, it requires higher English application ability from students. It needs to provide students of vocational education with good, situation-specific language skills necessary for thriving in an open world and cultivate top-tier technical talent with international competitiveness. Currently, there are still some systemic problems in the English teaching of vocational undergraduates at the college level, such as a “data silo” due to the lack of coordination between online and offline teaching and a single assessment system that cannot comprehensively reflect students’ learning results or show the development of their professional literacy. To solve the above problems, this paper puts forward an online-offline blended teaching model based on constructivist learning theory and sociocultural theory, and through the combination of various teaching resources and the application of artificial intelligence and learning analysis, it is possible to collect data on students’ learning behavior accurately and deeply. Based on practice, it has been found that this model can provide personalised teaching and learning guidance according to the different circumstances of various students. Through a multi-dimensional and data-driven assessment system for their entire learning process, it can improve teaching efficiency and motivate students to learn. Therefore, it can offer practical theoretical support and an implementation path for the reform of English education in vocational undergraduate education.