Artificial intelligence-driven innovation in language teaching and learning in vocational colleges: paths, practices and challenges
Year: 2025
Type: conference-paper
Abstract: The “Technology and Humanities Integration” teaching model aims to seamlessly integrate advanced technologies with humanities education principles, thereby enriching the experience of Chinese Language classrooms. Intelligent assessment systems powered by powerful data processing and analysis capabilities can accurately assess teaching efficiency and student learning progress. The collaborative framework between teachers and technology emphasizes the optimal use of teachers’ professional skills, supported by advanced technologies, thereby improving teaching efficiency and quality. Regarding the application of technology, semantic analysis is performed using the BERT model, the random forest algorithm is used to optimize teaching scenarios, and the structural equation model is applied to evaluate moral hazard. Chinese teaching practice using virtual reality technology shows that students' cultural perception ability has improved by 42%, a finding that has been verified by rigorous statistical tests (P < 0.001) and is therefore very reliable. In addition, the writing aids used significantly improved students’ Chinese writing skills, with students using these tools increasing their average Chinese score by 15%. These empirical data firmly affirm the value of cutting-edge technology in language education in vocational schools.
Authors: Guijie Wu, Qingqing Lin
Institution: Beijing Polytechnic
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4412923367