Author(s)

Dan Wu ¹, Yawen Hu ²

Affiliation(s)

¹ Hubei University of Commerce, Wuhan, Hubei, 430079, China
² Hubei Academy of Fine Arts, Wuhan, Hubei, 430060, China

Corresponding Author

Dan Wu

ABSTRACT

This paper takes the perspective of innovation ecology as the theoretical framework, and discusses the construction of talent training mode under the background of new engineering.Taking the application case of generative artificial intelligence as an example, the study introduces enterprise teaching resources, relying on project case experience, and drawing on the competition form of "AIGC Innovation and Creativity Competition", guides students to independently select topics, plan design schemes, and uses generative artificial intelligence technology for auxiliary design, shows the overall design process of students applying AIGC, and discusses the teaching reform path driven by artificial intelligence. With the optimization and innovation of university and industry cooperation mechanism as the breakthrough point, this paper discusses how to build a more closely and efficient industry-university cooperation mode, so as to promote the innovation and optimization of talent training mode under the background of new engineering, and provide beneficial practical experience and inspiration for university talent training.

KEYWORDS

Innovation ecology perspective, new engineering, generative artificial intelligence, industry cooperation

CITE THIS PAPER

Dan Wu, Yawen Hu, Construction of New Engineering Talent Training Mode from the Perspective of Innovation Ecology—Optimization and Innovation Path of University and Industry Cooperation Mechanism. Journal of Human Resource Development (2024) Vol. 6: 20-27. DOI: http://dx.doi.org/10.23977/jhrd.2024.060203.

REFERENCES

[1] Shao Bo; Shi Jinfei. Innovation of Applied Undergraduate Talents Training Mode under the Background of New Engineering—Exploration and Practice of Nanjing Institute of Technology [J]. Higher Engineering Education Research, 2023 (3)
[2] Gu Peihua. New Engineering and New Paradigm: Practical Exploration and Thinking [J]. Higher Engineering Education Research, 2020 (04)
[3] Yan Jiahua; Li Ruihao. Artificial Intelligence-driven Teaching Mode Innovation of Ideological and Political Courses in Universities [J]. Journal of Xiangtan University (Philosophy and Social Science Edition), 2022 (05)
[4] Huang Ronghuai; Li Min; Liu Jiahao. Current Situation and Thinking of Students' Generative Artificial Intelligence Application--Based on the Survey of Zhejiang University [J]. Journal of National Institute of Education Administration, 2021 (09)
[5] Chen Yukun. Educational Reform in the Age of ChatGPT/Generative Artificial Intelligence [J]. Journal of East China Normal University (Education Science Edition), 2023 (07)
[6] Zhu Yongxin; Yang Fan. ChatGPT/Generative Artificial Intelligence and Educational Innovation: Opportunities, Challenges and Future [J]. Journal of East China Normal University (Education Science Edition), 2023 (07).

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