Artificial Intelligence in Higher Education: A Bibliometric Study on its Impact in the Scientific Literature
By Francisco-Javier Hinojo-Lucena, I. Aznar-Díaz, María-Pilar Cáceres-Reche, José-María Romero-Rodríguez. Education sciences, 2019
318 citations recorded by the source corpus.
Artificial intelligence has experienced major developments in recent years and represents an emerging technology that will revolutionize the ways in which human beings live. This technology is already being introduced in the field of higher education, although many teachers are unaware of its scope and, above all, of what it consists of. Therefore, the purpose of this paper was to analyse the scientific production on artificial intelligence in higher education indexed in Web of Science and Scopus databases during 2007–2017. A bespoke methodology of bibliometric studies was used in the most relevant databases in social science. The sample was composed of 132 papers in total. From the results obtained, it was observed that there is a worldwide interest in the topic and that the literature on this subject is just at an incipient stage. We conclude that, although artificial intelligence is a reality, the scientific production about its application in higher education has not been consolidated.
Subfields: Computer Science Applications, Health Informatics
View Paper: https://www.semanticscholar.org/paper/b80081576b761925150b69935b971ce6790197af
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In Computer Science Applications
Citations in the corpus
- Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century (2021, background): “For instance, in a bibliometric study, Hinojo-Lucena, Aznar-Díaz, Cáceres-Reche and Romero-Rodríguez [31] highlighted that there is a need for more research-based, empirical findings to understand the potentials of AI in higher education.”
- Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020 (2022, methodology): “…online education context, AI applications (e.g. intelligent tutoring systems, teaching robots, learning analytics dashboards, adaptive learning systems) have been used to promote online students’ learning experience, performance, and quality (Chen et al., 2020a, b; Hinojo-Lucena et al., 2019).”
- Challenges and Future Directions of Big Data and Artificial Intelligence in Education (2020, unknown): “, 2020), bibliometric study (Hinojo-Lucena et al., 2019), qualitative”