Foreign Language Teaching Based on Human-Machine Collaboration Under Cultural Education Orientation

Innovation and Practice in College English Courses

Abstract

To address the limitations in traditional College English teaching—such as singular approaches to enhancing cross-cultural competence, insufficient focus on higher-order thinking skills, and lack of sustainable motivation for language learning—this study proposes an innovative model guided by "cultural education" and grounded in "human-machine collaboration." From a cultural empowerment perspective, the model reconstructs course content through a "four-integration" framework to enhance humanistic value and academic rigor, while establishing a "full-chain" ideological education pathway to broaden cultural education approaches. Under the human-machine collaboration framework, a "five-stage progressive" teaching method targets higher-order competency development, and a "triple-feedback" evaluation system stimulates learning motivation. These innovations foster bidirectional intellectual growth between teaching and learning, creating a new ecosystem for foreign language education.