
The public release of ChatGPT in late 2022 marked a turning point in the adoption and academic investigation of Generative Artificial Intelligence (GenAI). This systematic literature review synthesises 39 peer-reviewed studies to evaluate the applications, pedagogical benefits, and governance challenges of GenAI across global educational contexts. The findings identify four primary application domains: personalised intelligent tutoring, automated content creation, multimodal learning materials, and academic research assistance. Synthesis of the evidence reveals substantial improvements in student performance and affective-motivational states, particularly through adaptive scaffolding and real-time feedback. However, these benefits are countered by significant risks involving academic integrity, \\\"hallucinations,\\\" and the potential for cognitive over-reliance. Parallel to these pedagogical concerns, the evidence base remains heavily concentrated in higher education and high-income regions, leaving critical gaps in K-12 settings and the Global South. This review concludes that while GenAI offers transformative potential for personalised learning, its sustainable integration requires robust institutional policy and longitudinal research into long-term cognitive outcomes.
| 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 |
