Author ORCID Identifier

Jie Fu: https://orcid.org/0000-0002-0568-5139


The rise of the digital intelligence era signifies a new paradigm of digital technology and intelligent applications, bringing fresh opportunities and challenges to engineering practice. This paper focuses on the analysis of nine key challenges, encompassing the enhancement of complex engineering problem-solving abilities, the shortening of knowledge half-life, coping with the competition from intelligent machines, the role of engineers in industrial digitalization, the dual transformation of digitization and sustainability, effective engineering practice training, attracting outstanding young talent, digital transformation of engineering education, and the refinement of quality assessment standards for engineering education. These challenges reflect the complexity and diversity of engineering education in the digital intelligence era, requiring engineering education institutions to continuously adjust their curricula and teaching methods to cultivate engineers with comprehensive competencies and interdisciplinary skills. At the same time, the digital intelligence era also brings new opportunities for engineering education, including the application of digital technologies, emphasis on interdisciplinary learning, and the importance of sustainability. Effectively addressing these challenges will contribute to improving the quality of engineering education and provide critical support for the sustainable development of society and the environment. The future of engineering education in the digital intelligence era is promising, but it requires us to confront challenges to actively promote progress and innovation in engineering.

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Declaration Statement

There is not any potential conflict of interest in the work.