This research reveals pathways to innovate student management and resource allocation in higher vocational institutions, highlighting the role of digital intelligence.
The advancement of new quality productive forces is fundamentally dependent on digital intelligence technologies. Empowering student management through digital intelligence enables the cultivation of high-quality, skilled talents better aligned with the demands of this new productive paradigm. Building on an analysis of the inherent logic and practical challenges for innovating student management via digital intelligence within the framework of new quality productive forces, this study proposes six integrated innovation pathways: innovating mindsets and reshaping philosophies; strengthening top-level design to fortify institutional foundations; bridging the digital divide while optimizing resource allocation; enhancing digital intelligence literacy alongside collaborative education models; innovating carrier forms to reconstruct multi-scenario ecosystems; and reinforcing data safeguards to precisely mitigate risks. Ultimately, this framework aims to provide theoretical and practical guidance for advancing the quality of student management in higher vocational institutions, thereby promoting effective alignment between educational administration and the evolving requirements of new quality productive forces.
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Xu et al. (2025) studied this question.
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