Author(s)

LiPing He

Affiliation(s)

Department of Information Management, Guangdong Justice Police Vocational College, Guangzhou 510520, Guangdong, China.

Corresponding Author

LiPing He

ABSTRACT

Under the global wave of digital transformation, higher vocational computer education is facing dual challenges from technological iterations and industry demands. New technologies such as cloud computing and artificial intelligence are reshaping the professional landscape and subverting traditional talent cultivation models, creating a complex situation of opportunities and challenges. This study takes the dynamic feedback mechanism of system dynamics as the analytical framework, combines the symbiotic evolution theory of educational ecology, and innovatively introduces Taleb's anti-fragility theory as the core methodology. From four dimensions: innovation of teaching models, optimization of teaching staff, deep integration of industry and education, and coordination of school-enterprise resources, a collaborative development strategy model with adaptive adjustment capabilities is constructed. The aim is to enhance the resilience and evolutionary potential of higher vocational computer education in an uncertain environment. Experimental results show that students in the experimental group significantly outperform those in the control group in terms of theoretical application and practical innovation abilities, verifying the effectiveness of the model in improving educational adaptability and evolutionary capabilities. This research aims to assist higher vocational computer education in adapting to the development of the digital economy and provide theoretical and practical references for cultivating high-quality applied talents.

KEYWORDS

Digital transformation; Higher vocational computer education; Anti-fragility; Collaborative construction; Educational reform

CITE THIS PAPER

LiPing He. Exploration on the collaborative construction of anti-fragility in higher vocational computer education under the background of digital transformation. Trends in Social Sciences and Humanities Research. 2025, 3(5): 51-59. DOI: https://doi.org/10.61784/tsshr3174.

REFERENCES

[1] Ping W. Research on the Demand and Current Situation of Digital Talent Training in China’s Higher Vocational Colleges in the Digital Economy Era. International Educational Research, 2025, 8(4): 121. https://doi.org/10.30560/ier.v8n4p121.

[2] Wei Y, Ren C. Research on the industry-education integration in higher vocational education from the perspective of social partnership theory. Edelweiss Applied Science and Technology, 2025, 9(6): 1740–1747. https://doi.org/10.55214/25768484.v9i6.8237.

[3] Corvello V, Felicetti A M, Troise C, et al. Betting on the future: how to build antifragility in innovative start-up companies. Review of Managerial Science, 2023, 18(4): 1101–1127. https://doi.org/10.1007/s11846-023-00636-x.

[4] Baker W E, Mukherjee D, Gattermann Perin M. Learning orientation and competitive advantage: A critical synthesis and future directions. Journal of Business Research, 2022, 144: 863–873. https://doi.org/10.1016/j.jbusres.2022.02.003.

[5] Borah D, Ellwood P. The micro-foundations of conflicts in joint university-industry laboratories. Technological Forecasting and Social Change, 2022, 175: 121377. https://doi.org/10.1016/j.techfore.2021.121377.

[6] Zhao Y. Research on the Optimization of Digital Technology-Based Higher Education Teaching Models. Journal of Contemporary Educational Research, 2025, 9(6): 100–105. https://doi.org/10.26689/jcer.v9i6.10898.

[7] Exploration and practice of hybrid teaching model for computer fundamental courses under the background of new engineering. Curriculum and Teaching Methodology, 2025: 8(3). https://doi.org/10.23977/curtm.2025.080322.

[8] Skliarova I. Project-Based Learning and Evaluation in an Online Digital Design Course. Electronics, 2021, 10(6): 646. https://doi.org/10.3390/electronics10060646.

[9] Zhang F, Li S, Zhao Q, et al. Assessing and prioritizing interactive teaching modes based on student satisfaction in higher education: A case study of a freshmen class. Education and Information Technologies, 2024, 30(5): 6511–6545. https://doi.org/10.1007/s10639-024-13073-4.

[10] Collins H. Future work skills response: A teaching transformation using agility and evidence. Studies in Technology Enhanced Learning, 2023, 3(2). https://doi.org/10.21428/8c225f6e.9b1a2982.

[11] Kang L. Revolutionizing Vocational Education: Information-Based Instruction and the Knowledge Economy. Journal of the Knowledge Economy, 2024, 16(2): 6248–6280. https://doi.org/10.1007/s13132-024-01797-0.

[12] Lu Y, Wang T. Quality Evaluation Model of Vocational Education in China: A Qualitative Study Based on Grounded Theory. Education Sciences, 2023, 13(8): 819. https://doi.org/10.3390/educsci13080819.

[13] Chen X, Yu S. Synergizing Culture and Tourism Talents: Empowering Tourism Enterprises for Success. Journal of the Knowledge Economy, 2023, 15(3): 12439–12471. https://doi.org/10.1007/s13132-023-01598-x.

[14] Skrbinjek V, Vicic Krabonja M, Abersek B, et al. Enhancing Teachers’ Creativity with an Innovative Training Model and Knowledge Management. Education Sciences, 2024, 14(12): 1381. https://doi.org/10.3390/educsci14121381.

[15] Zhang K, Zhou J, Zhang S. Research on Building Vocational Education Teaching Quality Evaluation System Based on Big Data Technology. Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China. 2024. https://doi.org/10.4108/eai.2-12-2022.2327919.

[16] Zhang W, Palaoag T, Han G. Problems and Countermeasures of Computer Applied Talents Training Under the Background of “Production-Education Integration and Collaborative Education”. Journal of Higher Education Teaching, 2024, 1(6): 1–7. https://doi.org/10.62517/jhet.202415601.

[17] Wang H, Zhang L. Research on Collaborative Education Innovation Model in Vocational and Technical Colleges. Occupation and Professional Education, 2025, 2(1): 57–61. https://doi.org/10.62381/o252110.

[18] R A, V S. Bridging the Gap Between Industry Needs and Student Skills for Quality Education Through Sdgs: An Industry-Academia Collaboration in Curriculum Development. Journal of Lifestyle and SDGs Review, 2024, 4(4): e03616. https://doi.org/10.47172/2965-730x.sdgsreview.v4.n04.pe03616.

[19] Kiriliuk O M, Zakharova V D. Innovative strategies for the development of the university’s ecosystem in the age of digital transformation. Krasnoyarsk Science, 2024, 13(2): 16–32. https://doi.org/10.12731/2070-7568-2024-13-2-239.

[20] Pang D, Wang S, Ge D, et al. Enhancing E-commerce Management with Machine Learning and Internet of Things: Design and Development. Journal of the Knowledge Economy, 2024, 16(1): 290–316. https://doi.org/10.1007/s13132-024-01969-y.

[21] Fan H, Deng Q, Zhou W, et al. Exploration of Data Acquisition and Processing Technology Course Education Based on OBE Concept. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022: 4114–4117. https://doi.org/10.1109/igarss46834.2022.9884626.

[22] Cui L, Xiao Y, Liu D, Han H. Digital twin-driven graph domain adaptation neural network for remaining useful life prediction of rolling bearing. Reliability Engineering & System Safety, 2024, 245: 109991. https://doi.org/10.1016/j.ress.2024.109991.

[23] Jinmei W, Chaozhu H, Wenshu T, et al. Construction of a core competitiveness evaluation index system for undergraduate training in nursing. In Chinese Journal of Nursing Education, 2023.

[24] Wallstrom J, Lindblom J. Design and Development of the USUS Goals Evaluation Framework. In Springer Series on Bio- and Neurosystems. Springer International Publishing, 2020: 177-201. https://doi.org/10.1007/978-3-030-42307-0_7.

[25] Hormann C, Kuka L, Schmidthaler E, et al. Digital education training for teachers—Learnings from Austria. Frontiers in Education, 2024, 9. https://doi.org/10.3389/feduc.2024.1490123.

[26] Li Z. Design of Teaching Resource Sharing Platform Towards Intelligent Informatization. 2023 IEEE 3rd International Conference on Social Sciences and Intelligence Management (SSIM), 2023: 119–122. https://doi.org/10.1109/ssim59263.2023.10469321.