{"id":"https://openalex.org/W4385234232","doi":"https://doi.org/10.21926/obm.geriatr.2303243","title":"AI Literacy for an Ageing Workforce: Leveraging the Experience of Older Workers","display_name":"AI Literacy for an Ageing Workforce: Leveraging the Experience of Older Workers","publication_year":2023,"publication_date":"2023-07-25","ids":{"openalex":"https://openalex.org/W4385234232","doi":"https://doi.org/10.21926/obm.geriatr.2303243"},"language":"en","primary_location":{"id":"doi:10.21926/obm.geriatr.2303243","doi":"https://doi.org/10.21926/obm.geriatr.2303243","is_oa":true,"landing_page_url":"https://doi.org/10.21926/obm.geriatr.2303243","pdf_url":"https://www.lidsen.com/journals/geriatrics/geriatrics-07-03-243/obm.geriatr.2303243.pdf","source":{"id":"https://openalex.org/S4210219107","display_name":"OBM Geriatrics","issn_l":"2638-1311","issn":["2638-1311"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"OBM Geriatrics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.lidsen.com/journals/geriatrics/geriatrics-07-03-243/obm.geriatr.2303243.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070990618","display_name":"Krish Chetty","orcid":"https://orcid.org/0000-0003-2731-3560","observed_orcids":["https://orcid.org/0000-0003-2731-3560"]},"institutions":[{"id":"https://openalex.org/I103250015","display_name":"Human Sciences Research Council","ror":"https://ror.org/056206b04","country_code":"ZA","type":"nonprofit","lineage":["https://openalex.org/I103250015"]},{"id":"https://openalex.org/I99712911","display_name":"Nelson Mandela University","ror":"https://ror.org/03r1jm528","country_code":"ZA","type":"education","lineage":["https://openalex.org/I99712911"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Krish Chetty","raw_affiliation_strings":[". Human Sciences Research Council, 18 Bath Road, Wynberg, Cape Town, South Africa;",". Nelson Mandela University, South Campus, Computing Science Department, Nelson Mandela Bay, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":". Human Sciences Research Council, 18 Bath Road, Wynberg, Cape Town, South Africa;","institution_ids":["https://openalex.org/I103250015"]},{"raw_affiliation_string":". Nelson Mandela University, South Campus, Computing Science Department, Nelson Mandela Bay, South Africa","institution_ids":["https://openalex.org/I99712911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070990618"],"corresponding_institution_ids":["https://openalex.org/I103250015","https://openalex.org/I99712911"],"apc_list":null,"apc_paid":null,"fwci":11.6067,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.98923926,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"07","issue":"03","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12338","display_name":"Digital literacy in education","score":0.8130000233650208,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12338","display_name":"Digital literacy in education","score":0.8130000233650208,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11631","display_name":"Retirement, Disability, and Employment","score":0.048500001430511475,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11977","display_name":"Technology Use by Older Adults","score":0.04179999977350235,"subfield":{"id":"https://openalex.org/subfields/2717","display_name":"Geriatrics and Gerontology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ai-literacy","display_name":"AI literacy","score":0.828000009059906},{"id":"https://openalex.org/keywords/aging-workforce","display_name":"aging workforce","score":0.7260000109672546},{"id":"https://openalex.org/keywords/prompt-engineering","display_name":"prompt engineering","score":0.7590000033378601},{"id":"https://openalex.org/keywords/generative-ai","display_name":"generative AI","score":0.9879999756813049},{"id":"https://openalex.org/keywords/ai-literacy-training","display_name":"AI literacy training","score":0.7480000257492065},{"id":"https://openalex.org/keywords/digital-skills","display_name":"digital skills","score":0.6909999847412109},{"id":"https://openalex.org/keywords/older-workers","display_name":"older workers","score":0.6890000104904175},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"domain knowledge","score":0.6100000143051147},{"id":"https://openalex.org/keywords/labor-productivity","display_name":"labor productivity","score":0.3529999852180481},{"id":"https://openalex.org/keywords/digital-economy","display_name":"digital economy","score":0.5630000233650208}],"concepts":[{"id":"https://openalex.org/C2778139618","wikidata":"https://www.wikidata.org/wiki/Q13440398","display_name":"Workforce","level":2,"score":0.6129032969474792},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5423513054847717},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.5131714940071106},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.49840569496154785},{"id":"https://openalex.org/C547764534","wikidata":"https://www.wikidata.org/wiki/Q8236","display_name":"Literacy","level":2,"score":0.4899424910545349},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.48144716024398804},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4333544373512268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3946884274482727},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2613743543624878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2575226426124573},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.18318527936935425},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.1612986922264099},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09789547324180603},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21926/obm.geriatr.2303243","doi":"https://doi.org/10.21926/obm.geriatr.2303243","is_oa":true,"landing_page_url":"https://doi.org/10.21926/obm.geriatr.2303243","pdf_url":"https://www.lidsen.com/journals/geriatrics/geriatrics-07-03-243/obm.geriatr.2303243.pdf","source":{"id":"https://openalex.org/S4210219107","display_name":"OBM Geriatrics","issn_l":"2638-1311","issn":["2638-1311"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"OBM Geriatrics","raw_type":"journal-article"},{"id":"pmh:oai:dspacecris-nc1.mandela.ac.za:10948/2017372","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/10948/2017372","pdf_url":null,"source":{"id":"https://openalex.org/S7407089438","display_name":"Nelson Mandela University Research Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.21926/obm.geriatr.2303243","doi":"https://doi.org/10.21926/obm.geriatr.2303243","is_oa":true,"landing_page_url":"https://doi.org/10.21926/obm.geriatr.2303243","pdf_url":"https://www.lidsen.com/journals/geriatrics/geriatrics-07-03-243/obm.geriatr.2303243.pdf","source":{"id":"https://openalex.org/S4210219107","display_name":"OBM Geriatrics","issn_l":"2638-1311","issn":["2638-1311"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"OBM Geriatrics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.9211000204086304,"id":"https://metadata.un.org/sdg/8"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385234232.pdf","grobid_xml":"https://content.openalex.org/works/W4385234232.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1497199863","https://openalex.org/W1985364607","https://openalex.org/W2475707473","https://openalex.org/W2612966110","https://openalex.org/W2618164195","https://openalex.org/W2901669506","https://openalex.org/W2920166258","https://openalex.org/W2921889069","https://openalex.org/W2944218883","https://openalex.org/W2946759148","https://openalex.org/W2962985626","https://openalex.org/W3002527147","https://openalex.org/W3029022390","https://openalex.org/W3037997823","https://openalex.org/W3093258646","https://openalex.org/W3139446667","https://openalex.org/W3159042151","https://openalex.org/W3172244076","https://openalex.org/W3172660116","https://openalex.org/W3193521436","https://openalex.org/W3194166682","https://openalex.org/W3199049727","https://openalex.org/W3205271445","https://openalex.org/W3207553988","https://openalex.org/W3215201135","https://openalex.org/W4206318433","https://openalex.org/W4206492610","https://openalex.org/W4212796662","https://openalex.org/W4221022300","https://openalex.org/W4224885835","https://openalex.org/W4294215472","https://openalex.org/W4297093142","https://openalex.org/W4297827220","https://openalex.org/W4307570589","https://openalex.org/W4308071502","https://openalex.org/W4310563598","https://openalex.org/W4310607262","https://openalex.org/W4313468547","https://openalex.org/W4317581943","https://openalex.org/W7133184757","https://openalex.org/W7133224126"],"related_works":["https://openalex.org/W4413820696","https://openalex.org/W4412116576","https://openalex.org/W4394833895","https://openalex.org/W7118097790","https://openalex.org/W7116301662","https://openalex.org/W7204279763","https://openalex.org/W4407263034","https://openalex.org/W4414122685","https://openalex.org/W4408151443","https://openalex.org/W4414053086"],"abstract_inverted_index":{"This":[0,283],"study":[1,153,273],"delves":[2],"into":[3,161],"the":[4,27,48,52,95,103,110,113,126,162,171,202,235,240,245],"potential":[5,203],"benefits":[6,204],"of":[7,68,112,129,173,244,264,280,304],"Artificial":[8],"Intelligence":[9],"(AI)":[10],"literacy":[11,34,213,292],"training":[12,35,163,293],"for":[13,205,271,286,294],"late-career-stage":[14,167,219,295],"workers":[15,19,57,135,168,207,220,251],"approaching":[16],"retirement.":[17],"These":[18,247],"often":[20],"possess":[21],"extensive":[22],"experience":[23,42,85,183,233],"but":[24,225],"may":[25],"lack":[26],"necessary":[28],"digital":[29,49,318],"and":[30,43,84,177,184,196,208,232,242,260,311,322],"AI":[31,33,61,69,131,175,188,212,291,316],"skills.":[32],"can":[36,90,190,227],"empower":[37,249],"them":[38,100],"to":[39,47,93,101,139,148,169,193,221,234,239,252],"leverage":[40],"their":[41,71,145,182,187,223,258,267],"become":[44],"proficient":[45],"contributors":[46],"economy.":[50],"Furthermore,":[51],"article":[53,77,200],"describes":[54],"how":[55],"these":[56,80,206],"might":[58],"benefit":[59,94],"from":[60],"training,":[62],"particularly":[63],"when":[64],"employing":[65],"practical":[66],"applications":[67],"in":[70,106,141,210,257,266],"specific":[72],"field":[73],"or":[74],"industry.":[75],"The":[76,152,269],"argues":[78,154],"that":[79,89,123,155],"workers\u2019":[81],"knowledge,":[82],"insights":[83,231],"are":[86,136],"valuable":[87,230],"assets":[88],"be":[91],"exploited":[92],"business.":[96,246],"Their":[97],"abilities":[98],"allow":[99],"calibrate":[102,178],"prompts":[104,179],"used":[105],"Generative-AI":[107],"systems,":[108],"maximizing":[109],"quality":[111,150],"AI-generated":[114],"content.":[115],"Prompt":[116],"engineering":[117],"is":[118],"a":[119,262,276,301],"new":[120],"career":[121],"path":[122],"has":[124],"followed":[125],"rapid":[127],"emergence":[128],"Generative":[130,174],"content":[132],"creation.":[133],"Late-career-stage":[134],"well":[137],"suited":[138],"act":[140],"this":[142,199,272],"role,":[143],"leveraging":[144],"business":[146],"knowledge":[147,160],"produce":[149],"outputs.":[151],"employers":[156],"should":[157],"integrate":[158],"domain-specific":[159],"program's":[164],"structure,":[165],"allowing":[166],"understand":[170],"relevance":[172],"systems":[176],"based":[180],"on":[181,290],"knowledge.":[185],"Developing":[186],"skills":[189],"ultimately":[191,237],"lead":[192],"increased":[194],"productivity":[195],"efficiency.":[197],"Moreover,":[198],"emphasizes":[201],"businesses":[209],"providing":[211],"training.":[214],"It":[215],"not":[216],"only":[217],"enables":[218],"enhance":[222],"skills,":[224],"it":[226],"also":[228],"bring":[229],"business,":[236],"leading":[238],"growth":[241],"success":[243],"opportunities":[248],"such":[250,307],"access":[253],"more":[254],"strategic":[255],"positions":[256],"institutions":[259],"gain":[261],"sense":[263],"fulfillment":[265],"roles.":[268],"methodology":[270],"will":[274],"follow":[275],"scoping":[277],"literature":[278],"review":[279],"academic":[281,305],"articles.":[282],"approach":[284],"allows":[285],"examining":[287],"existing":[288],"research":[289],"workers.":[296],"Articles":[297],"were":[298],"sourced":[299],"through":[300],"comprehensive":[302],"search":[303],"databases":[306],"as":[308],"ScienceDirect,":[309],"EbscoHost":[310],"Scopus.":[312],"Search":[313],"terms":[314],"included":[315],"literacy,":[317,319],"aging":[320],"workforce":[321],"prompt":[323],"engineering.":[324]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-07-26T00:00:00"}
