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The "New Six Concepts" of University Teaching in the Age of Artificial Intelligence

Authors: WANG Qiang1, CHEN Jun2*;

The "New Six Concepts" of University Teaching in the Age of Artificial Intelligence

Abstract

In the context of human–machine collaboration, the rapid advancement of artificial intelligence (AI) presents profound challenges to the traditional role of university faculty. While AI technologies can perform numerous instructional and administrative functions, they cannot supplant the irreplaceable human dimensions of teaching—namely, providing emotional support, fostering interpersonal relationships, serving as ethical and moral exemplars, cultivating cultural consciousness, and inspiring creativity in students. Rather than functioning as a substitute, AI should be understood as a strategic partner that augments and enhances the work of educators. To effectively navigate this new landscape, teachers must cultivate digital literacy across six dimensions: epistemological orientation, pedagogical orientation, evaluative orientation, ethical orientation, developmental orientation, and human-centered orientation. Strengthening these competencies enables faculty to advance student knowledge and skills, transform educational methods, and address emergent social and ethical concerns.

Keywords

human–machine collaboration; artificial intelligence; digital literacy; sustainable teacher development; higher education

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green