{"id":"https://openalex.org/W7150734078","doi":"https://doi.org/10.48550/arxiv.2604.02792","title":"Generative AI Use in Professional Graduate Thesis Writing: Adoption, Perceived Outcomes, and the Role of a Research-Specialized Agent","display_name":"Generative AI Use in Professional Graduate Thesis Writing: Adoption, Perceived Outcomes, and the Role of a Research-Specialized Agent","publication_year":2026,"publication_date":"2026-04-03","ids":{"openalex":"https://openalex.org/W7150734078","doi":"https://doi.org/10.48550/arxiv.2604.02792"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.02792","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02792","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.02792","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133012969","display_name":"Kenji Saito","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saito, Kenji","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079308863","display_name":"Rei Tajika","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tajika, Rei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133034667","display_name":"Satoru Shibuya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shibuya, Satoru","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133021636","display_name":"Hiroshi Kanno","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kanno, Hiroshi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.6834999918937683,"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":0.6834999918937683,"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":0.05790000036358833,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.03500000014901161,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6247000098228455},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5435000061988831},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4810999929904938},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.4097999930381775},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.38109999895095825},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.3495999872684479},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.3398999869823456},{"id":"https://openalex.org/keywords/qualitative-research","display_name":"Qualitative research","score":0.33480000495910645}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6247000098228455},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5435000061988831},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.520799994468689},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4810999929904938},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.4097999930381775},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.38109999895095825},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3714999854564667},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.3610000014305115},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.3495999872684479},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3398999869823456},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C3018587665","wikidata":"https://www.wikidata.org/wiki/Q7268696","display_name":"Qualitative analysis","level":3,"score":0.32499998807907104},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3190999925136566},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C87156501","wikidata":"https://www.wikidata.org/wiki/Q7268708","display_name":"Qualitative property","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.28700000047683716},{"id":"https://openalex.org/C3020528894","wikidata":"https://www.wikidata.org/wiki/Q20820271","display_name":"Graduate students","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.2775000035762787},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.27000001072883606},{"id":"https://openalex.org/C133112747","wikidata":"https://www.wikidata.org/wiki/Q7251931","display_name":"Protocol analysis","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2531999945640564},{"id":"https://openalex.org/C2779318504","wikidata":"https://www.wikidata.org/wiki/Q1438035","display_name":"Research design","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.02792","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02792","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.02792","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02792","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8251544237136841,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"reports":[2],"a":[3,77,105,155],"survey":[4],"of":[5,82,85,131],"generative":[6],"AI":[7,27,44,166],"use":[8,28,37,143],"among":[9],"83":[10],"MBA":[11],"thesis":[12,24,145],"students":[13],"in":[14,157],"Japan":[15],"(target":[16],"population":[17],"230;":[18],"36.1%":[19],"response":[20],"rate),":[21],"conducted":[22],"after":[23],"examiner":[25],"evaluation.":[26],"was":[29],"nearly":[30],"universal:":[31],"95.2%":[32],"reported":[33],"at":[34],"least":[35],"some":[36],"and":[38,54,65,72,92,118,140,165],"77.1%":[39],"heavy":[40],"use.":[41],"Students":[42],"engaged":[43],"across":[45,144],"the":[46,158],"full":[47],"research-writing":[48],"workflow":[49],"-":[50,58,169],"literature":[51],"review,":[52],"drafting,":[53],"consultation":[55],"when":[56],"stuck":[57],"reporting":[59],"benefits":[60],"centered":[61],"on":[62],"clearer":[63],"argument":[64],"structure":[66],"(82.3%),":[67],"better":[68],"revision":[69],"quality":[70,80],"(73.4%),":[71],"faster":[73],"writing":[74],"(70.9%),":[75],"with":[76,170],"mean":[78],"perceived":[79],"improvement":[81],"6.27":[83],"out":[84],"7.":[86],"Concerns":[87],"about":[88],"output":[89],"accuracy":[90],"(75.9%)":[91],"citation":[93],"handling":[94],"persisted":[95],"alongside":[96],"these":[97],"gains.":[98],"Among":[99],"respondents":[100],"who":[101],"rated":[102],"GAMER":[103,171],"PAT,":[104],"research-specialized":[106,177],"agent,":[107],"against":[108],"other":[109],"AI,":[110],"preferences":[111],"significantly":[112],"favored":[113],"it":[114],"for":[115],"inquiry":[116],"deepening":[117],"structural":[119],"organization":[120],"(both":[121],"p":[122],"<":[123],"0.05,":[124],"exact":[125],"binomial).":[126],"A":[127],"preliminary":[128,174],"qualitative":[129],"analysis":[130],"follow-up":[132],"interviews":[133],"further":[134],"reveals":[135],"active":[136],"epistemic":[137],"vigilance":[138],"strategies":[139],"differentiated":[141],"tool":[142,167],"phases.":[146],"The":[147],"central":[148],"implication":[149],"is":[150],"not":[151],"adoption":[152],"itself":[153],"but":[154],"shift":[156],"educational":[159],"challenge":[160],"toward":[161],"verification,":[162],"source":[163],"governance,":[164],"design":[168],"PAT":[172],"offering":[173],"evidence":[175],"that":[176],"scaffolding":[178],"matters.":[179]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-07T00:00:00"}