{"id":"https://openalex.org/W7128790936","doi":"https://doi.org/10.1145/3770761.3777347","title":"Equity in Intro Computing: Understanding First-Generation Student Outcomes Across Ethnicity and Access","display_name":"Equity in Intro Computing: Understanding First-Generation Student Outcomes Across Ethnicity and Access","publication_year":2026,"publication_date":"2026-02-13","ids":{"openalex":"https://openalex.org/W7128790936","doi":"https://doi.org/10.1145/3770761.3777347"},"language":null,"primary_location":{"id":"doi:10.1145/3770761.3777347","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770761.3777347","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3770761.3777347","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125933358","display_name":"Victoria Phelps","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Victoria Phelps","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125907326","display_name":"Jordan Schwartz","orcid":null},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jordan Schwartz","raw_affiliation_strings":["University of Pennsylvania, Pennsylvania, PA, USA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Pennsylvania, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057967687","display_name":"Dan Garcia","orcid":"https://orcid.org/0000-0003-3514-9481"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Garcia","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5125933358"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73860497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1479","last_page":"1480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10533","display_name":"Teaching and Learning Programming","score":0.9068999886512756,"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"}},"topics":[{"id":"https://openalex.org/T10533","display_name":"Teaching and Learning Programming","score":0.9068999886512756,"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/T12515","display_name":"Gender and Technology in Education","score":0.03720000013709068,"subfield":{"id":"https://openalex.org/subfields/3318","display_name":"Gender Studies"},"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/T10726","display_name":"Career Development and Diversity","score":0.01889999955892563,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ethnic-group","display_name":"Ethnic group","score":0.6504999995231628},{"id":"https://openalex.org/keywords/equity","display_name":"Equity (law)","score":0.6383000016212463},{"id":"https://openalex.org/keywords/ordered-logit","display_name":"Ordered logit","score":0.4844000041484833},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.48399999737739563},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.44589999318122864},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.33320000767707825}],"concepts":[{"id":"https://openalex.org/C137403100","wikidata":"https://www.wikidata.org/wiki/Q41710","display_name":"Ethnic group","level":2,"score":0.6504999995231628},{"id":"https://openalex.org/C199728807","wikidata":"https://www.wikidata.org/wiki/Q2578557","display_name":"Equity (law)","level":2,"score":0.6383000016212463},{"id":"https://openalex.org/C87227347","wikidata":"https://www.wikidata.org/wiki/Q7100713","display_name":"Ordered logit","level":2,"score":0.4844000041484833},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.48399999737739563},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.44589999318122864},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.41440001130104065},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.3458999991416931},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.32589998841285706},{"id":"https://openalex.org/C2993757694","wikidata":"https://www.wikidata.org/wiki/Q3254959","display_name":"Racial differences","level":3,"score":0.30309998989105225},{"id":"https://openalex.org/C45555294","wikidata":"https://www.wikidata.org/wiki/Q28113351","display_name":"Inequality","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.25920000672340393},{"id":"https://openalex.org/C2992879847","wikidata":"https://www.wikidata.org/wiki/Q374758","display_name":"Multilevel modelling","level":3,"score":0.2524000108242035},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3770761.3777347","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770761.3777347","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3770761.3777347","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770761.3777347","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7790992856025696,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1970263918","https://openalex.org/W2020178822","https://openalex.org/W2591916552","https://openalex.org/W2802819175","https://openalex.org/W4399664787"],"related_works":[],"abstract_inverted_index":{"This":[0],"work":[1],"examines":[2],"how":[3],"first-generation":[4,32,68],"college":[5],"status,":[6],"ethnicity,":[7],"technology":[8],"access,":[9],"and":[10,87,93,100],"prior":[11,78],"programming":[12],"experience":[13],"shape":[14],"student":[15],"performance":[16],"in":[17,85],"an":[18],"introductory":[19],"computer":[20,61],"science":[21],"course.":[22],"Using":[23],"data":[24],"collected":[25],"across":[26],"two":[27],"semesters,":[28],"we":[29],"find":[30],"that":[31,67,96],"students":[33],"(FGS)":[34],"earned":[35],"fewer":[36],"A":[37],"grades":[38],"(72%)":[39],"than":[40],"their":[41],"non\u2013first-generation":[42],"peers":[43],"(NFGS,":[44],"82%).":[45],"Disparities":[46],"were":[47],"most":[48],"pronounced":[49],"among":[50],"Hispanic":[51],"FGS,":[52],"who":[53],"also":[54],"reported":[55],"the":[56,89],"lowest":[57],"rates":[58],"of":[59],"consistent":[60],"access.":[62],"Ordinal":[63],"logistic":[64],"regression":[65],"showed":[66],"status":[69],"predicted":[70],"lower":[71],"grade":[72],"outcomes":[73],"even":[74],"when":[75],"controlling":[76],"for":[77,91],"experience.":[79],"These":[80],"findings":[81],"highlight":[82],"persistent":[83],"inequities":[84],"CS0":[86],"underscore":[88],"need":[90],"instructional":[92],"structural":[94],"supports":[95],"address":[97],"preparation":[98],"gaps":[99],"differential":[101],"access":[102],"to":[103],"computing":[104],"resources.":[105]},"counts_by_year":[],"updated_date":"2026-02-15T05:58:04.055770","created_date":"2026-02-14T00:00:00"}
