Volume 8,Issue 9
Research on Teaching Reform of University Mathematics Courses Based on Artificial Intelligence
Against the backdrop of the digital transformation of higher education, the teaching‑reform orientation of university mathematics courses shall gradually move toward artificial intelligence. Taking the university Mathematical Analysis course as the research object, this paper focuses on exploring the great significance and practical paths of artificial‑intelligence‑empowered mathematics teaching reform. The study holds that with the empowerment of artificial intelligence, teaching and learning of university mathematics courses have shifted from the original standardization toward precision, which can bring students more intuitive cognitive experience. Meanwhile, it promotes the transformation of course evaluation from score‑oriented assessment toward whole‑process value‑added evaluation. This paper summarizes and puts forward five aspects of teaching‑reform strategies, including reconstructing the teaching‑content system, innovating the “AI+Mathematics” blended‑teaching mode, constructing an intelligent mathematics‑teaching resource library and practical‑training platform, systematically improving teachers’ artificial‑intelligence literacy, and strengthening mathematics practice and application sessions. Research results indicate that artificial‑intelligence empowerment is not a simple superposition of technology and education, but a systematic and in‑depth transformation involving teaching ideas and educational ecology. Only through coordinated advancement in multiple dimensions can we facilitate the construction of smart mathematics classrooms in universities.
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