{"id":"https://openalex.org/W4392861524","doi":"https://doi.org/10.1145/3626253.3635484","title":"Student Preconceptions of Artificial Intelligence: Results from Single Institution Survey","display_name":"Student Preconceptions of Artificial Intelligence: Results from Single Institution Survey","publication_year":2024,"publication_date":"2024-03-14","ids":{"openalex":"https://openalex.org/W4392861524","doi":"https://doi.org/10.1145/3626253.3635484"},"language":"en","primary_location":{"id":"doi:10.1145/3626253.3635484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626253.3635484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056766064","display_name":"Noah Q. Cowit","orcid":"https://orcid.org/0000-0002-9148-6143"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noah Q. Cowit","raw_affiliation_strings":["University of Colorado Boulder, Boulder, CO, USA"],"raw_orcid":"https://orcid.org/0000-0002-9148-6143","affiliations":[{"raw_affiliation_string":"University of Colorado Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029561487","display_name":"Casey Fiesler","orcid":"https://orcid.org/0000-0002-8743-4201"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Casey Fiesler","raw_affiliation_strings":["University of Colorado Boulder, Boulder, CO, USA"],"raw_orcid":"https://orcid.org/0000-0002-8743-4201","affiliations":[{"raw_affiliation_string":"University of Colorado Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I188538660"],"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":"1610","last_page":"1611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9850999712944031,"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"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9850999712944031,"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/T11122","display_name":"Online Learning and Analytics","score":0.9833999872207642,"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"}},{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.9176999926567078,"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/institution","display_name":"Institution","score":0.6176412105560303},{"id":"https://openalex.org/keywords/workforce","display_name":"Workforce","score":0.6124715209007263},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5694982409477234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5473147630691528},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5136460661888123},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.4510310888290405},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.4388641119003296},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4370807111263275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4010253846645355},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36345425248146057},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3541516661643982},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.12842226028442383},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.11063158512115479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10776454210281372}],"concepts":[{"id":"https://openalex.org/C2780510313","wikidata":"https://www.wikidata.org/wiki/Q178706","display_name":"Institution","level":2,"score":0.6176412105560303},{"id":"https://openalex.org/C2778139618","wikidata":"https://www.wikidata.org/wiki/Q13440398","display_name":"Workforce","level":2,"score":0.6124715209007263},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5694982409477234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5473147630691528},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5136460661888123},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.4510310888290405},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.4388641119003296},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4370807111263275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4010253846645355},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36345425248146057},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3541516661643982},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.12842226028442383},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.11063158512115479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10776454210281372},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3626253.3635484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626253.3635484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4099999964237213},{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G5968813613","display_name":null,"funder_award_id":"2115028","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2058271572","https://openalex.org/W2071305121","https://openalex.org/W2090782242","https://openalex.org/W3010464583","https://openalex.org/W3016094225","https://openalex.org/W3049028910","https://openalex.org/W3135269562","https://openalex.org/W4281738502","https://openalex.org/W4360838298"],"related_works":["https://openalex.org/W4308258967","https://openalex.org/W1962711591","https://openalex.org/W2803396544","https://openalex.org/W24250002","https://openalex.org/W2495360771","https://openalex.org/W1591794021","https://openalex.org/W1575461229","https://openalex.org/W2326236677","https://openalex.org/W2602699637","https://openalex.org/W2163454000"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)":[2],"has":[3],"become":[4],"an":[5],"increasingly":[6],"critical":[7],"component":[8],"of":[9,25,63,77,82,89,93,101,131,137,156],"not":[10,39,70,171],"only":[11],"the":[12,64,75,105,135,148,154,157,174,196],"computing":[13,98,110,185,194,207],"workforce":[14],"but":[15],"also":[16,166],"society.":[17],"It":[18],"is":[19,38],"essential":[20],"for":[21,55,180],"a":[22,78,127,142,161],"diverse":[23],"group":[24],"young":[26],"people":[27],"to":[28,30,41,107,112,199],"contribute":[29],"this":[31],"field.":[32],"However,":[33],"even":[34],"within":[35],"computing,":[36],"AI":[37,50,57,94,181],"taught":[40],"all":[42],"post-secondary":[43],"students.":[44],"Students":[45],"often":[46],"must":[47],"self-select":[48],"into":[49,183,206],"courses,":[51],"meaning":[52],"their":[53],"reasons":[54],"choosing":[56],"may":[58,67,69],"be":[59,71],"based":[60,187],"on":[61,188],"preconceptions":[62,202],"discipline":[65],"that":[66,95,168],"or":[68,115],"accurate.":[72],"We":[73],"extend":[74],"work":[76],"small-n":[79],"interview":[80,158],"study":[81,159],"primarily":[83],"Asian/Asian":[84],"American":[85],"undergraduate":[86,109],"students,":[87],"many":[88],"whom":[90],"expressed":[91],"perceptions":[92],"paralleled":[96],"identified":[97],"stereotypes.":[99],"Many":[100],"these":[102],"stereotypes":[103],"have":[104],"potential":[106],"discourage":[108],"students":[111,204],"take":[113],"classes":[114],"specialize":[116,205],"in":[117,134,147,192],"AI,":[118],"particularly":[119],"those":[120,132,189],"from":[121],"underrepresented":[122],"groups.":[123],"Here":[124],"we":[125,165,177],"present":[126],"larger":[128,162],"scale":[129],"validation":[130],"findings":[133,155],"form":[136],"survey":[138,151],"data":[139],"conducted":[140],"at":[141,160],"large":[143],"public":[144],"research":[145],"institution":[146],"USA.":[149],"The":[150],"largely":[152],"confirmed":[153],"scale,":[163],"and":[164],"found":[167],"gender":[169],"did":[170],"significantly":[172],"influence":[173],"results.":[175],"Finally,":[176],"discuss":[178],"strategies":[179],"integration":[182],"non-AI":[184],"courses":[186],"previously":[190],"used":[191],"responsible":[193],"contexts,":[195],"goal":[197],"being":[198],"counter":[200],"harmful":[201],"before":[203],"subareas.":[208]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
