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

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Title: Artificial Intelligence in Higher Education: A Bibliometric Study on Its Impact in the Scientific Literature
Authors: Hinojo-Lucena, Francisco-Javier, Aznar-Díaz, Inmaculada (ORCID 0000-0002-0018-1150), Cáceres-Reche, María-Pilar (ORCID 0000-0002-6323-8054), Romero-Rodríguez, José-María (ORCID 0000-0002-9284-8919)
Source: Education Sciences. 2019 9.
Availability: MDPI AG. Klybeckstrasse 64, 4057 Basel, Switzerland. Tel: e-mail: indexing@mdpi.com; Web site: http://www.mdpi.com
Peer Reviewed: Y
Page Count: 9
Publication Date: 2019
Document Type: Journal Articles
Information Analyses
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Higher Education, Scientific Research, Bibliometrics, Databases, Research Reports, Journal Articles, Technology Uses in Education
ISSN: 2227-7102
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.
Abstractor: As Provided
Entry Date: 2019
Accession Number: EJ1211945
Database: ERIC
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  Availability: 0
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  Data: Artificial Intelligence in Higher Education: A Bibliometric Study on Its Impact in the Scientific Literature
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  Data: <searchLink fieldCode="AR" term="%22Hinojo-Lucena%2C+Francisco-Javier%22">Hinojo-Lucena, Francisco-Javier</searchLink><br /><searchLink fieldCode="AR" term="%22Aznar-Díaz%2C+Inmaculada%22">Aznar-Díaz, Inmaculada</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-0018-1150">0000-0002-0018-1150</externalLink>)<br /><searchLink fieldCode="AR" term="%22Cáceres-Reche%2C+María-Pilar%22">Cáceres-Reche, María-Pilar</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-6323-8054">0000-0002-6323-8054</externalLink>)<br /><searchLink fieldCode="AR" term="%22Romero-Rodríguez%2C+José-María%22">Romero-Rodríguez, José-María</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-9284-8919">0000-0002-9284-8919</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Education+Sciences%22"><i>Education Sciences</i></searchLink>. 2019 9.
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  Label: Availability
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  Data: MDPI AG. Klybeckstrasse 64, 4057 Basel, Switzerland. Tel: e-mail: indexing@mdpi.com; Web site: http://www.mdpi.com
– Name: PeerReviewed
  Label: Peer Reviewed
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  Data: Y
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  Label: Page Count
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  Data: 9
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  Data: 2019
– Name: TypeDocument
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  Data: Journal Articles<br />Information Analyses<br />Reports - Research
– Name: Audience
  Label: Education Level
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  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+Research%22">Scientific Research</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Reports%22">Research Reports</searchLink><br /><searchLink fieldCode="DE" term="%22Journal+Articles%22">Journal Articles</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink>
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  Label: ISSN
  Group: ISSN
  Data: 2227-7102
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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.
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  Data: As Provided
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  Data: 2019
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  Data: EJ1211945
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        PageCount: 9
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Scientific Research
        Type: general
      – SubjectFull: Bibliometrics
        Type: general
      – SubjectFull: Databases
        Type: general
      – SubjectFull: Research Reports
        Type: general
      – SubjectFull: Journal Articles
        Type: general
      – SubjectFull: Technology Uses in Education
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      – TitleFull: Artificial Intelligence in Higher Education: A Bibliometric Study on Its Impact in the Scientific Literature
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            NameFull: Hinojo-Lucena, Francisco-Javier
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            NameFull: Aznar-Díaz, Inmaculada
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            NameFull: Cáceres-Reche, María-Pilar
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            NameFull: Romero-Rodríguez, José-María
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              Y: 2019
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              Value: 2227-7102
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              Value: 9
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