Against the backdrop of a new wave of technological revolution and industrial transformation, artificial intelligence (AI) is profoundly reshaping the higher education ecosystem. As the main institutions for regional talent development, regional applied universities urgently need to explore intelligent teaching reform pathways tailored to their unique characteristics. This study constructs the “AI+1234” integrated education framework under AI empowerment, systematically exploring the deep integration mechanism between AI technology and the “1234 talent development model.” It develops a five-dimensional collaborative implementation method: “Team–Curriculum–Resources–Community–Think Tank”—providing regional applied universities with a replicable and scalable intelligent transformation pathway. This framework offers a new paradigm for cultivating applied talents that meet the demands of the intelligent era.
Liang P, Chen Y, 2024, Effects and Mechanisms of Higher Education Development on Intelligent Productivity Advancement: An Empirical Analysis of Provincial Panel Data in China. Sustainability, 16(24): 11197.
Li X, Tang H, Chen Z, 2025, Artificial Intelligence and the New Quality Productive Forces of Enterprises: Digital Intelligence Empowerment Paths and Spatial Spillover Effects. Systems, 13(2): 105.
Wang S, Wang F, Zhu Z, et al., 2024, Artificial Intelligence in Education: A Systematic Literature Review. Expert Systems with Applications, 252: 124167.
Meng X, Yang B, Yang L, et al., 2025, A Novel AI-Empowered, Student-Centered Teaching Strategy for Large Classes in Higher Education. International Journal of Science and Mathematics Education, OnlineFirst.
Anderson JR, Corbett AT, 2023, Cognitive Tutors: Lessons Learned After Thirty Years. Journal of the Learning Sciences, 32(1): 45–79.
Chen L, Chen P, Lin Z, 2024, Artificial Intelligence in Education: A Review. IEEE Access, 12: 15236–15253.
Roll I, Wylie R, 2023, Evolution and Revolution in Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education, 33(1): 123–145.
Anderson JR, Corbett AT, Koedinger KR, et al., 1996, Cognitive Tutors: Lessons Learned. ARI Research Note 96–66, https://hal.science/hal-00699789
Holmes W, Bialik M, Fadel C, 2023, Artificial Intelligence in Education: Promise and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign.
Baker RS, 2023, Stupid Tutoring Systems, Intelligent Humans. International Journal of Artificial Intelligence in Education, 33(2): 234–256.
VanLehn K, 2023, The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems. Educational Psychologist, 58(4): 197–221.
Rehman N, Huang X, Sarwar U, et al., 2025, China’s AI Policy in Higher Education: Opportunities and Challenges, in U Sarwar, T Sanhong, M Waheed Akhtar, M Aamir (Eds.), Navigating Barriers to AI Implementation in the Classroom, IGI Global Scientific Publishing, 67–92.