
The dataset was compiled through an integrative review, a methodology chosen for its ability to provide a holistic synthesis of diverse sources and methodologies to inform professional practice. It moves from the review question: How does the use of AI impact the development of digital citizenship among university professors? The central hypothesis of this research is that while Artificial Intelligence (AI) acts as a revolutionary catalyst in higher education, mere technical AI literacy is an insufficient condition for meaningful pedagogical transformation. The study posits that for university faculty to become effective models in an AI-mediated society, they must undergo an identity shift toward Digital Citizenship (DC). The research specifically explores how AI use impacts this developmental trajectory, moving from theoretical knowledge (episteme) to practical wisdom (phronesis).
Artificial Intelligence, Reflective thinking, Faculty Development, Higher education, Critical Thinking, Digital citizenship
Artificial Intelligence, Reflective thinking, Faculty Development, Higher education, Critical Thinking, Digital citizenship
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
