Data mining of scientific research on artificial intelligence in teaching and administration in higher education institutions: a bibliometrics analysis and recommendation for future research

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dc.contributor.authorUllrich, André
dc.contributor.authorVladova, Gergana
dc.contributor.authorEigelshoven, Felix
dc.contributor.authorRenz, André
dc.date.accessioned2024-01-26T16:17:31Z
dc.date.available2024-01-26T16:17:31Z
dc.date.issued2022
dc.identifier.citationUllrich, A., Vladova, G., Eigelshoven, F., & Renz, A. (2022). Data mining of scientific research on artificial intelligence in teaching and administration in higher education institutions: a bibliometrics analysis and recommendation for future research. Discover Artificial Intelligence, 2(16), o.S. https://doi.org/10.1007/s44163-022-00031-7
dc.identifier.issn2731-0809
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/480
dc.language.isoeng
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleData mining of scientific research on artificial intelligence in teaching and administration in higher education institutions: a bibliometrics analysis and recommendation for future research
dc.typeArticle
dc.type.statuspublishedVersion
dcmi.typeText
dcterms.bibliographicCitation.doi10.1007/s44163-022-00031-7
dcterms.bibliographicCitation.issue16
dcterms.bibliographicCitation.journaltitleDiscover Artificial Intelligence
dcterms.bibliographicCitation.pageendo.S.
dcterms.bibliographicCitation.pagestarto.S.
dcterms.bibliographicCitation.urlhttps://link.springer.com/10.1007/s44163-022-00031-7
dcterms.bibliographicCitation.volume2
local.researchgroupBildung und Weiterbildung in der digitalen Gesellschaft
local.researchtopicMensch – Arbeit – Wissen
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