{"id":"https://openalex.org/W4387738298","doi":"https://doi.org/10.1080/08839514.2023.2261730","title":"Artificial intelligence in higher education: a bibliometric analysis and topic modeling approach","display_name":"Artificial intelligence in higher education: a bibliometric analysis and topic modeling approach","publication_year":2023,"publication_date":"2023-10-18","ids":{"openalex":"https://openalex.org/W4387738298","doi":"https://doi.org/10.1080/08839514.2023.2261730"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2023.2261730","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2261730","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2261730?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2261730?download=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086251638","display_name":"Vusumuzi Maphosa","orcid":"https://orcid.org/0000-0002-2595-3890"},"institutions":[{"id":"https://openalex.org/I312958679","display_name":"National University of Science and Technology","ror":"https://ror.org/02kesvt12","country_code":"ZW","type":"education","lineage":["https://openalex.org/I312958679"]}],"countries":["ZW"],"is_corresponding":true,"raw_author_name":"Vusumuzi Maphosa","raw_affiliation_strings":["Department of Information and Communication Technology Services, National University of Science and Technology, Bulawayo, Zimbabwe"],"raw_orcid":"https://orcid.org/0000-0002-2595-3890","affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology Services, National University of Science and Technology, Bulawayo, Zimbabwe","institution_ids":["https://openalex.org/I312958679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013517564","display_name":"Mfowabo Maphosa","orcid":"https://orcid.org/0000-0003-3702-6821"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Mfowabo Maphosa","raw_affiliation_strings":["Faculty of Engineering, Built Environment and Information Technology, University of Pretoria, Pretoria, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Built Environment and Information Technology, University of Pretoria, Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086251638"],"corresponding_institution_ids":["https://openalex.org/I312958679"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":2.5885,"has_fulltext":true,"cited_by_count":92,"citation_normalized_percentile":{"value":0.92131792,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"37","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9588000178337097,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7620263695716858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.692493736743927},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.642593264579773},{"id":"https://openalex.org/keywords/scopus","display_name":"Scopus","score":0.6150524020195007},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5769447088241577},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5642802119255066},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4904632270336151},{"id":"https://openalex.org/keywords/bibliometrics","display_name":"Bibliometrics","score":0.4630802571773529},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4575357735157013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41346049308776855},{"id":"https://openalex.org/keywords/library-science","display_name":"Library science","score":0.1953485906124115},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.16242453455924988}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7620263695716858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692493736743927},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.642593264579773},{"id":"https://openalex.org/C83867959","wikidata":"https://www.wikidata.org/wiki/Q371467","display_name":"Scopus","level":3,"score":0.6150524020195007},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5769447088241577},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5642802119255066},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4904632270336151},{"id":"https://openalex.org/C178315738","wikidata":"https://www.wikidata.org/wiki/Q603441","display_name":"Bibliometrics","level":2,"score":0.4630802571773529},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4575357735157013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41346049308776855},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.1953485906124115},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.16242453455924988},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/08839514.2023.2261730","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2261730","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2261730?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:repository.up.ac.za:2263/94264","is_oa":true,"landing_page_url":"http://hdl.handle.net/2263/94264","pdf_url":"https://repository.up.ac.za/bitstream/2263/94264/3/Maphosa_Artificial_2023.pdf","source":{"id":"https://openalex.org/S4306401870","display_name":"UpSpace Institutional Repository (University of Pretoria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I69552723","host_organization_name":"University of Pretoria","host_organization_lineage":["https://openalex.org/I69552723"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:751adc42b3144154a1b897d8c5b37088","is_oa":true,"landing_page_url":"https://doaj.org/article/751adc42b3144154a1b897d8c5b37088","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 37, Iss 1 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2023.2261730","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2261730","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2261730?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387738298.pdf","grobid_xml":"https://content.openalex.org/works/W4387738298.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W152180625","https://openalex.org/W1003239748","https://openalex.org/W1485330246","https://openalex.org/W1713342896","https://openalex.org/W1832217497","https://openalex.org/W1901616594","https://openalex.org/W2052452825","https://openalex.org/W2068181924","https://openalex.org/W2107501654","https://openalex.org/W2128438887","https://openalex.org/W2149282659","https://openalex.org/W2150220236","https://openalex.org/W2160170318","https://openalex.org/W2163539724","https://openalex.org/W2174706414","https://openalex.org/W2337155942","https://openalex.org/W2338062064","https://openalex.org/W2516632884","https://openalex.org/W2558170155","https://openalex.org/W2560888500","https://openalex.org/W2603033960","https://openalex.org/W2611176525","https://openalex.org/W2624147939","https://openalex.org/W2624420032","https://openalex.org/W2770182351","https://openalex.org/W2770717476","https://openalex.org/W2891001386","https://openalex.org/W2897230617","https://openalex.org/W2900170095","https://openalex.org/W2903474282","https://openalex.org/W2911048623","https://openalex.org/W2912185124","https://openalex.org/W2922512717","https://openalex.org/W2924211343","https://openalex.org/W2955391314","https://openalex.org/W2979357336","https://openalex.org/W2981863007","https://openalex.org/W2982129462","https://openalex.org/W2993653928","https://openalex.org/W3007223692","https://openalex.org/W3009335665","https://openalex.org/W3014502523","https://openalex.org/W3016126779","https://openalex.org/W3029251081","https://openalex.org/W3038002524","https://openalex.org/W3088532840","https://openalex.org/W3091283684","https://openalex.org/W3093424417","https://openalex.org/W3094370059","https://openalex.org/W3109323605","https://openalex.org/W3119658442","https://openalex.org/W3125707221","https://openalex.org/W3126226315","https://openalex.org/W3165783357","https://openalex.org/W3167554351","https://openalex.org/W3197908479","https://openalex.org/W3199189488","https://openalex.org/W3209912268","https://openalex.org/W4200246656","https://openalex.org/W4205368340","https://openalex.org/W4237791300","https://openalex.org/W4251456976","https://openalex.org/W4256093048","https://openalex.org/W4280651558","https://openalex.org/W4386126695","https://openalex.org/W6684072790"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W3005513013","https://openalex.org/W2611137333","https://openalex.org/W4291700620","https://openalex.org/W4317422773"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)":[2],"has":[3],"brought":[4],"unprecedented":[5],"growth":[6],"and":[7,27,32,49,68,74,94,120,142,145,162,183],"productivity":[8],"in":[9,14,42,62,79,88,100,104,140,150,179],"every":[10],"socioeconomic":[11],"sector.AI":[12],"adoption":[13,137,177],"education":[15,44],"is":[16],"transformational":[17],"through":[18,46],"reduced":[19],"teacher":[20],"workload,":[21],"individualized":[22],"learning,":[23],"intelligent":[24],"tutors,":[25],"profiling":[26],"prediction,":[28],"high-precision":[29],"education,":[30],"collaboration,":[31],"learner":[33],"tracking.This":[34],"paper":[35],"highlights":[36],"the":[37,54,63,80,89,105,110,116,121,130,132,136,146,154,157,163,172],"trajectory":[38],"of":[39,97,134,138,148],"AI":[40,93,98,139,149,176],"research":[41,99,169,185],"higher":[43],"(HE)":[45],"bibliometric":[47],"analysis":[48,84],"topic":[50,181],"modeling":[51,152,182],"approaches.We":[52],"used":[53,71],"PRISMA":[55],"guidelines":[56],"to":[57,76,171],"select":[58],"304":[59],"articles":[60],"published":[61],"Scopus":[64],"database":[65],"between":[66,92],"2012":[67],"2021.VOSviewer":[69],"was":[70,102],"for":[72],"visualization":[73],"text-mining":[75],"identify":[77],"hotspots":[78],"field.Latent":[81],"Dirichlet":[82],"Allocation":[83],"reveals":[85],"distinct":[86],"topics":[87,161],"dynamic":[90],"relationship":[91],"HE.Only":[95],"9.6%":[96],"HE":[101,141],"achieved":[103],"first":[106],"seven":[107],"years,":[108],"with":[109],"last":[111],"three":[112],"years":[113],"contributing":[114],"90.4%.China,":[115],"United":[117,122],"States,":[118],"Russia":[119],"Kingdom":[123],"dominated":[124],"publications.Four":[125],"themes":[126],"emerged":[127],"-data":[128],"as":[129],"catalyst,":[131],"development":[133],"AI,":[135],"emerging":[143],"trends":[144],"future":[147,184],"HE.Topic":[151],"on":[153],"abstracts":[155],"revealed":[156],"10":[158],"most":[159,166],"frequent":[160],"top":[164],"30":[165],"salient":[167],"terms.This":[168],"contributes":[170],"literature":[173],"by":[174],"synthesizing":[175],"opportunities":[178],"HE,":[180],"areas.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":25},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-13T07:04:57.449891","created_date":"2025-10-10T00:00:00"}
