A Study of AI-Empowered Innovations in College English Oral Teaching and CET-SET Assessment Strategies for Art Majors

The advancement of globalization and rapid developments in artificial intelligence (AI) technology are profoundly reshaping reforms in tertiary-level English instruction. Within the context of an increasingly internationalized art market, the practical value of English proficiency has gained heightened prominence. Contemporary art students must cultivate both professional expertise and effective English communication skills. As a benchmark for assessing comprehensive English proficiency, the College English Test-Spoken English Test (CET-SET) assumes critical significance. However, art majors encounter persistent challenges in this examination, including inaccurate pronunciation, limited coherence in expression, and inadequate test adaptability. Consequently, current oral English pedagogy for this cohort presents distinctive opportunities and challenges. This study investigates an AI-driven innovative instructional model for oral English alongside specialized CET-SET strategies tailored for art students. It aims to enhance their oral proficiency and comprehensive language skills, offering actionable insights for optimizing English pedagogy within art disciplines.