The introduction of artificial intelligence (AI) into education is fundamentally transforming learning models, skill requirements, and labor market dynamics. This study explores how AI adoption is reshaping education, focusing on the skills needed to address AI-driven changes. Through interviews with CEOs and educational experts, the research highlights the challenges and opportunities in both educational and professional contexts, emphasizing the importance of balancing hard and soft skills and promoting continuous learning. Using co-occurrence analysis with T-Lab software, the study uncovers how AI is altering learning models, data management, professional training, and cross-sector partnerships. The findings provide practical insights for educational institutions and businesses to better align curricula and learning approaches with emerging market demands, thereby supporting the workforce's adaptive capacities.
Bartoli, Chiara; Ceschel, Federico; Gerardi, Maria Lorenza; Marchegiani, Lucia; Peruffo, Enzo. (2025). The Future of Education: reframing skills and learning in the age of artificial intelligence. In Tertiarization & sustainability new challenges for management in the digital era - Conference Proceedings (pp. 37- 42). Isbn: 9788894713671. https://www.sijmsima.it/wp-content/uploads/2025/12/SHORT-PAPERS-CONFERENCE-GENOVA-2025-1.pdf.
The Future of Education: reframing skills and learning in the age of artificial intelligence
Chiara Bartoli
;Lorenza Gerardi;Enzo Peruffo
2025
Abstract
The introduction of artificial intelligence (AI) into education is fundamentally transforming learning models, skill requirements, and labor market dynamics. This study explores how AI adoption is reshaping education, focusing on the skills needed to address AI-driven changes. Through interviews with CEOs and educational experts, the research highlights the challenges and opportunities in both educational and professional contexts, emphasizing the importance of balancing hard and soft skills and promoting continuous learning. Using co-occurrence analysis with T-Lab software, the study uncovers how AI is altering learning models, data management, professional training, and cross-sector partnerships. The findings provide practical insights for educational institutions and businesses to better align curricula and learning approaches with emerging market demands, thereby supporting the workforce's adaptive capacities.| File | Dimensione | Formato | |
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