The Future of Higher Education: Trends, Challenges and Opportunities in AI-Driven Lifelong Learning in Peru
This study analyses future trends in lifelong learning in the Peruvian context. Using the DeflyCompass model, an artificial intelligence tool, the main trends affecting the evolution of postgraduate studies were identified, including the impact of generative AI on the personalisation of education, t...
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MDPI AG
2025-03-01
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| Online Access: | https://www.mdpi.com/2078-2489/16/3/224 |
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| author | Pablo Lara-Navarra Antonia Ferrer-Sapena Eduardo Ismodes-Cascón Carlos Fosca-Pastor Enrique A. Sánchez-Pérez |
| author_facet | Pablo Lara-Navarra Antonia Ferrer-Sapena Eduardo Ismodes-Cascón Carlos Fosca-Pastor Enrique A. Sánchez-Pérez |
| author_sort | Pablo Lara-Navarra |
| collection | DOAJ |
| description | This study analyses future trends in lifelong learning in the Peruvian context. Using the DeflyCompass model, an artificial intelligence tool, the main trends affecting the evolution of postgraduate studies were identified, including the impact of generative AI on the personalisation of education, the transformation of work and the growth of Generation Z as key players in the educational environment. The methodology applied combines a mixed qualitative and quantitative approach, based on the opinion of experts—45 participants from seven public/private universities in Peru—the technique of semantic projections, the use of generalist search engines and specialised databases, and other digital management resources such as Google Scholar profile analysis and online marketing campaign design tools. In particular, a total of 150 scientific papers and 300 articles from generalist sources were analysed. This approach made it possible to select, analyse and quantify the main trends in higher education in Peru and to assess their potential impact on the future development of graduate schools, specifically in the case of the Pontificia Universidad Católica de Perú (PUCP). The results highlight the importance of adapting postgraduate studies to new demands, such as the adoption of generative AI, the adaptation of personalised education and the integration of digital technologies to enhance the personal and professional growth of students. It also highlights the need to incorporate strategies that address the transformation of work, with a focus on developing digital skills and preparing for an ever-changing work environment. The study thus provides a guide for Peruvian universities on how to adapt their graduate programmes to emerging trends, promoting a flexible and technologically advanced education that responds to the needs of future professionals. |
| format | Article |
| id | doaj-art-a304107ca982428181fde3df08dc8da2 |
| institution | OA Journals |
| issn | 2078-2489 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj-art-a304107ca982428181fde3df08dc8da22025-08-20T01:48:50ZengMDPI AGInformation2078-24892025-03-0116322410.3390/info16030224The Future of Higher Education: Trends, Challenges and Opportunities in AI-Driven Lifelong Learning in PeruPablo Lara-Navarra0Antonia Ferrer-Sapena1Eduardo Ismodes-Cascón2Carlos Fosca-Pastor3Enrique A. Sánchez-Pérez4Information & Communication Faculty, Open University of Catalonia, 08018 Barcelona, SpainApplied Mathematics Department, Universitat Politècnica València, 46022 Valencia, SpainSchool of Engineering, Pontificia Universidad Católica de Perú, Lima 15088, PeruSchool of Engineering, Pontificia Universidad Católica de Perú, Lima 15088, PeruApplied Mathematics Department, Universitat Politècnica València, 46022 Valencia, SpainThis study analyses future trends in lifelong learning in the Peruvian context. Using the DeflyCompass model, an artificial intelligence tool, the main trends affecting the evolution of postgraduate studies were identified, including the impact of generative AI on the personalisation of education, the transformation of work and the growth of Generation Z as key players in the educational environment. The methodology applied combines a mixed qualitative and quantitative approach, based on the opinion of experts—45 participants from seven public/private universities in Peru—the technique of semantic projections, the use of generalist search engines and specialised databases, and other digital management resources such as Google Scholar profile analysis and online marketing campaign design tools. In particular, a total of 150 scientific papers and 300 articles from generalist sources were analysed. This approach made it possible to select, analyse and quantify the main trends in higher education in Peru and to assess their potential impact on the future development of graduate schools, specifically in the case of the Pontificia Universidad Católica de Perú (PUCP). The results highlight the importance of adapting postgraduate studies to new demands, such as the adoption of generative AI, the adaptation of personalised education and the integration of digital technologies to enhance the personal and professional growth of students. It also highlights the need to incorporate strategies that address the transformation of work, with a focus on developing digital skills and preparing for an ever-changing work environment. The study thus provides a guide for Peruvian universities on how to adapt their graduate programmes to emerging trends, promoting a flexible and technologically advanced education that responds to the needs of future professionals.https://www.mdpi.com/2078-2489/16/3/224artificial intelligencefuturetrendslifelong learningeducation |
| spellingShingle | Pablo Lara-Navarra Antonia Ferrer-Sapena Eduardo Ismodes-Cascón Carlos Fosca-Pastor Enrique A. Sánchez-Pérez The Future of Higher Education: Trends, Challenges and Opportunities in AI-Driven Lifelong Learning in Peru Information artificial intelligence future trends lifelong learning education |
| title | The Future of Higher Education: Trends, Challenges and Opportunities in AI-Driven Lifelong Learning in Peru |
| title_full | The Future of Higher Education: Trends, Challenges and Opportunities in AI-Driven Lifelong Learning in Peru |
| title_fullStr | The Future of Higher Education: Trends, Challenges and Opportunities in AI-Driven Lifelong Learning in Peru |
| title_full_unstemmed | The Future of Higher Education: Trends, Challenges and Opportunities in AI-Driven Lifelong Learning in Peru |
| title_short | The Future of Higher Education: Trends, Challenges and Opportunities in AI-Driven Lifelong Learning in Peru |
| title_sort | future of higher education trends challenges and opportunities in ai driven lifelong learning in peru |
| topic | artificial intelligence future trends lifelong learning education |
| url | https://www.mdpi.com/2078-2489/16/3/224 |
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