{"id":"https://openalex.org/W7166728719","doi":"https://doi.org/10.48550/arxiv.2606.29442","title":"AI in the Wild: A Large Scale Analysis of Authentic Interactions of College Students with Generative AI","display_name":"AI in the Wild: A Large Scale Analysis of Authentic Interactions of College Students with Generative AI","publication_year":2026,"publication_date":"2026-06-28","ids":{"openalex":"https://openalex.org/W7166728719","doi":"https://doi.org/10.48550/arxiv.2606.29442"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.29442","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.29442","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.29442","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139458348","display_name":"Taelin Karidi","orcid":"https://orcid.org/0009-0008-3368-7394"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karidi, Taelin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013873819","display_name":"Ofra Amir","orcid":"https://orcid.org/0000-0003-2303-3684"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amir, Ofra","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013460714","display_name":"Ido Roll","orcid":"https://orcid.org/0000-0001-7295-9059"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roll, Ido","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T12128","display_name":"AI in Service Interactions","score":0.21950000524520874,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.21950000524520874,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.2168000042438507,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.1225999966263771,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/generative-grammar","display_name":"Generative grammar","score":0.7038000226020813},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5422999858856201},{"id":"https://openalex.org/keywords/qualitative-analysis","display_name":"Qualitative analysis","score":0.5349000096321106},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5024999976158142},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4821000099182129},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.3700999915599823},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.3659000098705292}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7038000226020813},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5422999858856201},{"id":"https://openalex.org/C3018587665","wikidata":"https://www.wikidata.org/wiki/Q7268696","display_name":"Qualitative analysis","level":3,"score":0.5349000096321106},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5024999976158142},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4821000099182129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45899999141693115},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4336000084877014},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3700999915599823},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3659000098705292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3345000147819519},{"id":"https://openalex.org/C133112747","wikidata":"https://www.wikidata.org/wiki/Q7251931","display_name":"Protocol analysis","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.3206999897956848},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.31290000677108765},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C95986675","wikidata":"https://www.wikidata.org/wiki/Q185168","display_name":"Quantitative analysis (chemistry)","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2678999900817871},{"id":"https://openalex.org/C87156501","wikidata":"https://www.wikidata.org/wiki/Q7268708","display_name":"Qualitative property","level":2,"score":0.26170000433921814}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.29442","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.29442","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.29442","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.29442","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":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8127837777137756,"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":{"Generative":[0],"AI":[1,89,127],"tools":[2],"(GenAI)":[3],"are":[4,114,141],"increasingly":[5],"used":[6],"by":[7],"students":[8,16,67],"during":[9,90],"coursework,":[10],"yet":[11],"empirical":[12],"understanding":[13],"of":[14,51,59,87,167,195],"how":[15,43,137,145],"engage":[17],"with":[18,192],"these":[19,95,138],"systems":[20],"in":[21,163],"authentic":[22],"learning":[23],"contexts":[24],"remains":[25],"limited.":[26],"Existing":[27],"studies":[28],"have":[29],"largely":[30],"relied":[31],"on":[32],"controlled":[33],"settings,":[34],"single-domain":[35],"analyses,":[36],"or":[37,119,125],"small-scale":[38],"qualitative":[39],"data,":[40],"leaving":[41],"open":[42],"student-AI":[44,62,80,154],"interaction":[45,81,109,139,155,189],"unfolds":[46],"across":[47,68,148,183],"courses":[48,71],"and":[49,72,108,144],"forms":[50,194],"academic":[52,73,196],"work.":[53,197],"We":[54],"present":[55],"a":[56,164],"large-scale":[57],"analysis":[58,151],"naturally":[60],"occurring":[61],"interactions":[63,161],"collected":[64],"from":[65,84],"undergraduate":[66],"multiple":[69],"university":[70],"domains.":[74],"The":[75],"dataset":[76],"comprises":[77],"over":[78],"15,000":[79],"units":[82],"drawn":[83],"voluntary":[85],"use":[86],"generative":[88],"real":[91],"coursework.":[92],"To":[93],"characterize":[94],"interactions,":[96],"we":[97,135],"analyze":[98],"each":[99],"student":[100],"turn":[101],"along":[102],"two":[103],"complementary":[104],"dimensions,":[105],"cognitive":[106],"intent":[107],"context,":[110],"capturing":[111],"whether":[112],"requests":[113],"directed":[115],"toward":[116],"the":[117,121,177],"task":[118],"domain,":[120],"student's":[122],"own":[123],"work,":[124],"prior":[126],"output.":[128],"Using":[129],"instruction-guided":[130],"annotation":[131],"applied":[132],"at":[133],"scale,":[134],"examine":[136],"patterns":[140,169],"distributed":[142],"overall":[143],"they":[146],"vary":[147],"courses.":[149],"Our":[150],"reveals":[152],"that":[153],"is":[156],"highly":[157,173],"structured.":[158],"Across":[159],"courses,":[160,184],"concentrate":[162],"small":[165],"number":[166],"recurring":[168],"rather":[170],"than":[171],"exhibiting":[172],"idiosyncratic":[174],"use.":[175],"At":[176],"same":[178],"time,":[179],"systematic":[180],"differences":[181],"emerge":[182],"giving":[185],"rise":[186],"to":[187],"distinct":[188],"profiles":[190],"associated":[191],"different":[193]},"counts_by_year":[],"updated_date":"2026-07-01T06:29:00.853634","created_date":"2026-07-01T00:00:00"}
