Abstract: This study focuses on the empowering role of digital intelligence technologies in foreign language oral proficiency testing in higher education. Addressing the limitations of traditional testing methods—such as subjective scoring, delayed feedback, narrow assessment dimensions, and lack of personalized feedback—it integrates multidisciplinary theoretical foundations and leverages intelligent assessment tools based on natural language processing, speech recognition, and generative artificial intelligence. The research constructs a novel model for foreign language oral testing in the digital era. Comparative experiments demonstrate that digital intelligence technologies significantly optimize testing procedures, enhance test quality and fairness, and improve the effectiveness of students'oral proficiency development. The study validates the efficacy of the“human-computer collaboration”evaluation model, providing critical theoretical and practical insights for reforming oral language testing in higher education and offering a replicable paradigm for digital transformation in education.

Key words: Digital intelligence technologies, Foreign language oral proficiency testing, Intelligent assessment tools, Human-computer collaboration, Digital transformation in education, Test fairness