The "Three-dimensional Five-order" Fusion Model Based on OBE: Theoretical Construction and Path Exploration of AI Empowerment in Higher Education

DOI: https://doi.org/10.62517/jhet.202615110

Author(s)

Wanqing Cui

Affiliation(s)

Sias University, Zhengzhou, Henan, China

Abstract

The rapid advancement of artificial intelligence technology is driving profound transformations in higher education paradigms. Grounded in the OBE (Outcomes-Based Education) philosophy, this study transcends disciplinary limitations to propose a universal "Three-Dimensional Five-Stage" integration model, systematically constructing a theoretical framework for deep AI-education integration. The model encompasses three fusion dimensions-"technological tools, professional expertise, and industry scenarios" and designs five progressive stages: "AI-powered pre-class preparation-intelligent collaborative grouping-problem-based inquiry deepening- enterprise feedback iteration-ethical reflection elevation." This framework addresses core theoretical challenges in AI education, including superficial application, disconnection from specialized teaching, and monolithic evaluation mechanisms. The paper elaborates on the model's theoretical essence, operational logic, and implementation pathways, demonstrating its value in transitioning teaching from "knowledge infusion" to "competency and literacy co-development" and achieving closed-loop industry-education collaboration. It provides new theoretical perspectives and practical guidelines for systemic reform in higher education during the intelligent era.

Keywords

OBE Philosophy; Artificial Intelligence; Higher Education; Teaching Model; Theoretical Model; Industry-Education Integration

References

[1] Liu Bangqi, Yao Lanting, Guo Taoge, et al. Key areas and main progress of intelligent education application research in China from 2015 to 2025 [J]. China Education Informatization, 2025,31(09):25-37. [2] Zhang Anfu. Evaluation of course objectives, graduation requirements, and achievement of training goals based on OBE philosophy [J]. Higher Education Development and Evaluation, 2024,40(06):1-11+119. [3] Li Xiaoyan, Ma Hanbo, Wang Mingchun, et al. Innovative exploration of integrating artificial intelligence into the OBE practical teaching model [J]. Modern Food, 2025, (19):121-123. [4] Qu Kechen, Li Jinchang, Huang Deming, et al. Research on the Impact of Knowledge Graph-Based Learning System Design on Online Learning Outcomes [J]. Journal of East China Normal University (Natural Science Edition), 2024, (05):70-80. [5] Li Yunfu. Integration of AI and OBE: A New Orientation for Reforming Teaching Evaluation in Higher Education-An Analysis Based on "A New Era of Evaluation: A Global Review of AI in Evaluation Design" [J]. China Education Informatization, 2025,31(12):57-67. [6] SHAKIB S S, ZISHAN A, AKINUL I J. A proposed framework for achieving higher level of outcome-based learning using generative AI in education[J].Educational Technology Quarterly, 2025,1:1-15.