Artificial Intelligence in Higher Education: A Bibliometric Study on its Impact in the Scientific Literature

Abstract

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.

Big Data in Education. A Bibliometric Review

“…On the other hand, the analysis variables were established from the review of previous bibliometric studies in the area of social sciences, with a topic similar to the object of study (Batanero et al 2019;Hinojo-Lucena et al 2019;Oravec et al 2019;Rodríguez-García et al 2019;Sudolska et al 2019):…”

Effects of a Gamification and Flipped-Classroom Program for Teachers in Training on Motivation and Learning Perception

“…In recent years, new methodological horizons have been fixed in the field of teacher training [1]. International studies insist on the need to renew teacher training programs to improve teaching-learning processes in compulsory education [2][3][4], and place emphasis on the mastery of normal classroom tasks [5,6].…”

“…However, at present, this trend seems to be reducing, as research begins to show the absence of a relationship between gender and the degree of acceptance of technologies [49,57]. References should be numbered in order of appearance and indicated by a numeral or numerals in square brackets, e.g., [1] or [2,3], or [4][5][6]. See the end of the document for further details on references.…”

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