Evaluation of the Implementation Effectiveness of Digital Scenario-based Teaching in University-level English Conversation Instruction: A Study Based on Artificial Intelligence Generated Content (AIGC)

In recent years, the rapid development of artificial intelligence (AI) technology has highlighted the growing potential of Artificial Intelligence Generated Content (AIGC) in the field of education. In university-level English instruction, traditional teaching models often fail to meet the increasing demand for oral practice and contextual communication skills among students. This study, grounded in the theoretical framework of digital scenario-based teaching and leveraging AIGC technology, designed and implemented a teaching model tailored for English conversation instruction in higher education. Through an empirical investigation into teaching outcomes—including dimensions such as student learning performance, communicative competence improvement, and instructional satisfaction—the findings demonstrate that AIGC-driven digital scenario-based teaching significantly enhances students' comprehensive language application skills while stimulating their interest and active engagement in learning. Moreover, this study identifies technical bottlenecks and pedagogical challenges encountered during implementation, proposing optimization strategies and providing valuable insights for the intelligent evolution of university English teaching.