<![CDATA[The disruption of artificial intelligence (AI) technology has created a rapidly changing business landscape, demanding fundamental transformations in entrepreneurship education. However, empirical evidence on the effectiveness and integration models of AI remains fragmented. This study conducted a Systematic Literature Review (SLR) using the PRISMA protocol to synthesize evidence from indexed publications from 2019–2024, in order to map the convergence of AI in entrepreneurship teaching methodologies. The analysis of 30 selected studies revealed three key roles of AI: as a business decision simulator, a personalized learning platform, and a creativity catalyst, which synergistically shape the learning cycle to develop "AI-Preneur" competencies. These findings highlight the need for a curriculum shift that integrates AI literacy and ethics, as well as the transformation of educators' roles into metacognitive facilitators. The study's conclusions affirm that AI has the potential to revolutionize entrepreneurship pedagogy from a theoretical approach to a data-driven, experimental one. The main implication is the urgent need for an “Augmented Entrepreneurship” pedagogical framework that synergistically combines human intelligence with algorithmic capabilities, while critically addressing the challenges of bias, ethics, and the digital divide to ensure inclusive and responsible educational innovation.]]>
Copyrights © 2026
