{"id":"https://openalex.org/W4409815937","doi":"https://doi.org/10.1016/j.caeai.2025.100412","title":"How do ChatGPT's benefit\u2013risk-coping paradoxes impact higher education in Taiwan and Indonesia?","display_name":"How do ChatGPT's benefit\u2013risk-coping paradoxes impact higher education in Taiwan and Indonesia?","publication_year":2025,"publication_date":"2025-04-24","ids":{"openalex":"https://openalex.org/W4409815937","doi":"https://doi.org/10.1016/j.caeai.2025.100412"},"language":"en","primary_location":{"id":"doi:10.1016/j.caeai.2025.100412","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.caeai.2025.100412","pdf_url":null,"source":{"id":"https://openalex.org/S4210183364","display_name":"Computers and Education Artificial Intelligence","issn_l":"2666-920X","issn":["2666-920X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers and Education: Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.caeai.2025.100412","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ellis Mardiana Panggabean","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108816","display_name":"Universitas Muhammadiyah Jember","ror":"https://ror.org/021p32893","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210108816"]},{"id":"https://openalex.org/I4210139646","display_name":"Universitas Muhammadiyah Sumatera Utara","ror":"https://ror.org/03ve0eh58","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210139646"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ellis Mardiana Panggabean","raw_affiliation_strings":["Department of Mathematic Education, Faculty of Teaching and Education, University of Muhammadiyah, North Sumatera, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematic Education, Faculty of Teaching and Education, University of Muhammadiyah, North Sumatera, Indonesia","institution_ids":["https://openalex.org/I4210139646","https://openalex.org/I4210108816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028104126","display_name":"Andri Dayarana K. Silalahi","orcid":"https://orcid.org/0000-0002-5399-3742"},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Andri Dayarana K. Silalahi","raw_affiliation_strings":["Department of Marketing and Logistics Management, College of Management, Chaoyang University of Technology, Taichung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-5399-3742","affiliations":[{"raw_affiliation_string":"Department of Marketing and Logistics Management, College of Management, Chaoyang University of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I126145234"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028104126"],"corresponding_institution_ids":["https://openalex.org/I126145234"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":3.4248,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92754506,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"100412","last_page":"100412"},"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":0.9976000189781189,"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":0.9976000189781189,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9380000233650208,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9296000003814697,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/business","display_name":"Business","score":0.35979899764060974},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.332830548286438}],"concepts":[{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.35979899764060974},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.332830548286438}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.caeai.2025.100412","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.caeai.2025.100412","pdf_url":null,"source":{"id":"https://openalex.org/S4210183364","display_name":"Computers and Education Artificial Intelligence","issn_l":"2666-920X","issn":["2666-920X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers and Education: Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:98b2db66244e4724856769d28b390b5f","is_oa":true,"landing_page_url":"https://doaj.org/article/98b2db66244e4724856769d28b390b5f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computers and Education: Artificial Intelligence, Vol 8, Iss , Pp 100412- (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.caeai.2025.100412","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.caeai.2025.100412","pdf_url":null,"source":{"id":"https://openalex.org/S4210183364","display_name":"Computers and Education Artificial Intelligence","issn_l":"2666-920X","issn":["2666-920X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers and Education: Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4262859947","display_name":null,"funder_award_id":"113-2637-H-324-003-","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F2461203286","display_name":"National Science and Technology Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":98,"referenced_works":["https://openalex.org/W73572444","https://openalex.org/W1574363380","https://openalex.org/W1587451402","https://openalex.org/W1971425934","https://openalex.org/W1986221133","https://openalex.org/W1991306264","https://openalex.org/W2043299220","https://openalex.org/W2057328631","https://openalex.org/W2071141511","https://openalex.org/W2081430061","https://openalex.org/W2090552208","https://openalex.org/W2099697766","https://openalex.org/W2100379340","https://openalex.org/W2105846236","https://openalex.org/W2116305749","https://openalex.org/W2326247870","https://openalex.org/W2462410358","https://openalex.org/W2508383655","https://openalex.org/W2550742538","https://openalex.org/W2595629513","https://openalex.org/W2769468278","https://openalex.org/W3084582665","https://openalex.org/W3088328078","https://openalex.org/W3119020829","https://openalex.org/W3128415798","https://openalex.org/W3155263273","https://openalex.org/W3171995006","https://openalex.org/W3193740800","https://openalex.org/W3205792657","https://openalex.org/W4210650152","https://openalex.org/W4224263787","https://openalex.org/W4235678817","https://openalex.org/W4253790742","https://openalex.org/W4283581602","https://openalex.org/W4296032562","https://openalex.org/W4298172906","https://openalex.org/W4317910584","https://openalex.org/W4321033164","https://openalex.org/W4323655724","https://openalex.org/W4327946446","https://openalex.org/W4362453853","https://openalex.org/W4365512576","https://openalex.org/W4366420437","https://openalex.org/W4375862891","https://openalex.org/W4376872703","https://openalex.org/W4377227441","https://openalex.org/W4377837418","https://openalex.org/W4378084879","https://openalex.org/W4382560004","https://openalex.org/W4385071300","https://openalex.org/W4385242971","https://openalex.org/W4385484115","https://openalex.org/W4385804219","https://openalex.org/W4386318781","https://openalex.org/W4386421370","https://openalex.org/W4386421934","https://openalex.org/W4386574345","https://openalex.org/W4386580390","https://openalex.org/W4386696838","https://openalex.org/W4387745889","https://openalex.org/W4388049829","https://openalex.org/W4388745228","https://openalex.org/W4388980071","https://openalex.org/W4388999532","https://openalex.org/W4389454339","https://openalex.org/W4389688063","https://openalex.org/W4391174790","https://openalex.org/W4391589803","https://openalex.org/W4391765149","https://openalex.org/W4391830676","https://openalex.org/W4392013712","https://openalex.org/W4392788561","https://openalex.org/W4393146086","https://openalex.org/W4393902165","https://openalex.org/W4393993437","https://openalex.org/W4394988178","https://openalex.org/W4399040283","https://openalex.org/W4399209136","https://openalex.org/W4399869780","https://openalex.org/W6632685396","https://openalex.org/W6731171046","https://openalex.org/W6794322599","https://openalex.org/W6848382245","https://openalex.org/W6849636505","https://openalex.org/W6850066077","https://openalex.org/W6852006320","https://openalex.org/W6852357473","https://openalex.org/W6852827688","https://openalex.org/W6853116897","https://openalex.org/W6853936850","https://openalex.org/W6855424302","https://openalex.org/W6856220171","https://openalex.org/W6856884495","https://openalex.org/W6858832815","https://openalex.org/W6859314670","https://openalex.org/W6861551873","https://openalex.org/W6862549245","https://openalex.org/W6869861135"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2949263084","https://openalex.org/W2743539335","https://openalex.org/W594353338","https://openalex.org/W2765153054","https://openalex.org/W2922049016","https://openalex.org/W4390697879","https://openalex.org/W2596173151"],"abstract_inverted_index":{"The":[0],"integration":[1,17],"of":[2,21,55,59,123,163],"ChatGPT":[3],"into":[4],"higher":[5,79,200],"education":[6,80,201],"in":[7,39,82,93,134,175,179,192,216],"Taiwan":[8,83,180,220],"and":[9,14,23,57,84,117,128,145,161,167,211,221],"Indonesia":[10,138],"presents":[11],"both":[12,135,176],"opportunities":[13],"challenges.":[15],"This":[16,45],"creates":[18],"a":[19,72,140],"paradox":[20],"benefits":[22],"risks":[24],"that":[25,48],"must":[26],"be":[27],"carefully":[28],"managed.":[29],"While":[30],"previous":[31],"studies":[32],"have":[33],"explored":[34],"ChatGPT's":[35,69,207],"applications,":[36],"its":[37,213],"complexities":[38],"educational":[40,217],"contexts":[41],"remain":[42],"partially":[43],"unaddressed.":[44],"study":[46],"bridges":[47],"gap":[49],"by":[50],"integrating":[51],"the":[52,94,102],"Unified":[53],"Theory":[54,65],"Acceptance":[56],"Use":[58],"Technology":[60],"(UTAUT)":[61],"with":[62,137],"Protection":[63],"Motivation":[64],"(PMT)":[66],"to":[67,104,205],"examine":[68],"role":[70],"through":[71],"benefit\u2013risk\u2013coping":[73],"mechanism.":[74],"Data":[75],"were":[76],"collected":[77],"from":[78,183],"users":[81,113],"Indonesia.":[85,193,222],"Structural":[86],"Equation":[87],"Modeling":[88],"(SEM)":[89],"revealed":[90],"distinct":[91],"patterns":[92],"two":[95],"regions.":[96],"In":[97,111],"Taiwan,":[98],"perceived":[99],"severity":[100],"reduces":[101],"intention":[103,133,144],"use":[105,215],"ChatGPT,":[106],"while":[107],"self-efficacy":[108],"fosters":[109],"adoption.":[110],"Indonesia,":[112],"emphasize":[114],"response":[115],"efficacy":[116],"performance":[118,129,168],"expectancy":[119,130,169],"as":[120,171],"stronger":[121,141],"predictors":[122],"usage":[124,132,160,173],"intention.":[125],"Task":[126,165],"efficiency":[127,166],"enhance":[131],"settings,":[136],"showing":[139],"link":[142],"between":[143],"actual":[146,159],"use.":[147],"Fuzzy":[148],"sets":[149],"Qualitative":[150],"Comparative":[151],"Analysis":[152],"(fsQCA)":[153],"further":[154],"identifies":[155],"diverse":[156],"configurations":[157],"for":[158,199],"disusage":[162],"ChatGPT.":[164],"emerge":[170],"key":[172],"drivers":[174],"contexts.":[177],"Disusage":[178],"primarily":[181],"stems":[182],"task":[184],"inefficiency,":[185],"whereas":[186],"multiple":[187],"factors\u2014including":[188],"low":[189],"self-efficacy\u2014hinder":[190],"adoption":[191],"These":[194],"findings":[195],"provide":[196],"practical":[197],"insights":[198],"institutions,":[202],"guiding":[203],"strategies":[204],"optimize":[206],"benefits,":[208],"minimize":[209],"risks,":[210],"ensure":[212],"responsible":[214],"settings":[218],"across":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-02-06T02:01:19.302388","created_date":"2025-04-26T00:00:00"}
