Exploration of AI-Empowered Talent Cultivation Pathways for Emerging Engineering Education in Integrated Circuits

Authors

  • Binrui Xu School of Information Engineering, Henan University of Science and Technology, Luoyang 471000, P. R. China
  • Jingyan Wu School of Information Engineering, Henan University of Science and Technology, Luoyang 471000, P. R. China
  • Min Liu School of Information Engineering, Henan University of Science and Technology, Luoyang 471000, P. R. China
  • Jincan Zhang School of Information Engineering, Henan University of Science and Technology, Luoyang 471000, P. R. China
  • Yuxiang Li School of Information Engineering, Henan University of Science and Technology, Luoyang 471000, P. R. China
  • Bo Liu School of Information Engineering, Henan University of Science and Technology, Luoyang 471000, P. R. China

DOI:

https://doi.org/10.54097/7aes4e23

Keywords:

Artificial Intelligence, Curriculum Reconstruction, Emerging Engineering Education, Industry-education Integration, Integrated Circuits, Talent Cultivation

Abstract

Amid the profound convergence of artificial intelligence (AI) and integrated circuits (IC), traditional talent development models remain shackled by entrenched disciplinary silos, constrained practical training, and institutional decoupling between academia and industry. Grounded in the strategic paradigm of Emerging Engineering Education, this study transcends conventional tool-oriented perspectives by elevating AI to a transformative meta-capability that reshapes the entire educational ecosystem, thereby systematically exploring innovative pathways for AI-empowered IC talent cultivation. In response to evolving industrial imperatives for a conical interdisciplinary knowledge architecture and holistic systems engineering thinking, this research formulates a tripartite cultivation objective integrating knowledge, capability, and literacy alongside four overarching guiding principles. Anchored in this top-level blueprint, a comprehensive four-dimensional implementation framework is architected across curricular, pedagogical, faculty, and institutional dimensions. Specifically, this framework reconstructs a three-tiered progressive modular curriculum matrix spanning foundational, core, and frontier levels while forging a smart pedagogical paradigm that unifies personalized instruction, high-immersion virtual practice, and intelligent evaluation. Concurrently, it builds an interdisciplinary dual-qualified faculty force through synergistic external recruitment and internal training, and fosters a deeply collaborative industry-education community of shared future leveraging an intelligent crowdsourcing R&D platform and joint laboratories, ultimately delivering a systematic and actionable roadmap to overcome the critical talent bottleneck in the semiconductor sector.

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References

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Published

13-10-2026

Issue

Vol. 25 No. 1 (2026)

Section

Articles

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Copyright (c) 2026 International Journal of Education and Humanities

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