Abstracts
Résumé
Cette étude examine les tendances et les développements des publications ainsi que la dynamique de collaboration scientifique entre auteurs, pays, organismes et sources récentes liés à l’utilisation de l’intelligence artificielle (IA) dans la formation et l’apprentissage universitaires. Une analyse bibliométrique de 285 articles publiés depuis 2014 jusqu’au 26 mars 2024, issus de la base de données Web of Science a révélé une forte association entre l’IA et des thèmes tels que l’éducation, la motivation des étudiants, le « feedback » et l’autocontrôle. La Chine et les États-Unis sont les pays les plus influents dans ce domaine de recherche, avec une collaboration croissante d’autres pays, comme le Afrique du Sud, Brésil, Canada, Israël, Pologne, Singapour, Vietnam depuis 2023. Les premières publications remontent à 2022 dans des revues spécialisées comme International Journal of Educational Technology in Higher Education et Educational Technology & Society. Bien que l’analyse présente certaines limites, telles qu’une compréhension réduite des tendances, une couverture partielle des publications et une faible représentativité des données, elle offre des insights précieux pour de futurs projets de collaboration interdisciplinaires et de recherches qualitatives visant à mieux comprendre la dynamique de l’intégration de l’IA dans l’enseignement supérieur.
Mots-clés :
- Intelligence artificielle,
- formation universitaire,
- apprentissage,
- analyse bibliométrique,
- tendances de recherche
Abstract
This study examines the trends and developments in publications, as well as the dynamics of scientific collaboration among authors, countries, organizations, and recent sources related to the use of artificial intelligence (AI) in university education and learning. A bibliometric analysis of 285 articles published since 2014 until March 26, 2024, drawn from the Web of Science database, revealed a strong association between AI and themes such as education, student motivation, feedback, and self-control. China and the United States are the most influential countries in this research field, with increasing collaboration from other countries such as Brazil, Canada, Israel, Poland, Singapore, South Africa, and Vietnam since 2023. The earliest publications date back to 2022 in specialized journals such as International Journal of Educational Technology in Higher Education and Educational Technology & Society. Although the analysis has limitations, such as a limited understanding of trends, partial coverage of publications, and low representativeness of data, it provides valuable insights for future interdisciplinary collaboration projects and qualitative research aimed at better understanding the dynamics of AI integration in higher education.
Keywords:
- artificial intelligence,
- bibliometric analysis,
- learning,
- research trends,
- university education
Appendices
Bibliographie
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