A Study on the Connotation and Dimensional Structure of Postgraduate Innovation Ability in the Context of Artificial Intelligence_Vol. 2 No. 6 (JHET 2025)_Journal of Higher Education Teaching (ISSN: 3005-5776)

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A Study on the Connotation and Dimensional Structure of Postgraduate Innovation Ability in the Context of Artificial Intelligence

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DOI: https://doi.org/10.62517/jhet.202515621

Author(s)

Lei Wang*, Shiyi Sun, Chunlan Qin

Affiliation(s)

School of Business, Guilin University of Electronic Technology, Guilin, Guangxi, China *Corresponding Author

Abstract

In the context of the rapid development of artificial intelligence, the connotation and cultivation methods of postgraduate innovation ability are undergoing profound changes. The traditional framework of innovation ability emphasizes "knowledge memorization + problem-solving" ability, which is no longer compatible with the new look of the current era of data-driven, human-machine collaboration and interdisciplinary multi-dimensional artificial intelligence. In the academic thinking, this study believes that innovation ability is not a "professional skill" but a "comprehensive quality". The impact of generative artificial intelligence on the cultivation of innovation ability is a multi-dimensional and complex mechanism that requires the integration of multiple theories for explanation. It also emphasizes that the cultivation of innovation ability cannot be separated from the idea of collaboration among multiple stakeholders such as the government, universities, and society. Based on literature review and analysis, expert interviews, questionnaire surveys, and case studies, this paper redefines the new connotation and structural framework of postgraduate innovation ability, constructing a multi-dimensional innovation ability framework encompassing digital literacy, technological thinking, and teamwork. This framework emphasizes digital literacy as the foundation, technological thinking as the core, and teamwork as the support, while also integrating critical thinking, ethical concepts, and interdisciplinary integration skills. It fully aligns with the new standards for high-level talent in the era of artificial intelligence. This research can provide a theoretical basis and practical pathways for optimizing postgraduate training programs, reforming teaching methods, and innovating mentor guidance mechanisms.

Keywords

Artificial Intelligence; Postgraduate; Innovation Ability; Multi-Dimensional

References

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