{"id":"https://openalex.org/W3010523390","doi":"https://doi.org/10.1145/3328778.3366805","title":"Competitive Enrollment Policies in Computing Departments Negatively Predict First-Year Students' Sense of Belonging, Self-Efficacy, and Perception of Department","display_name":"Competitive Enrollment Policies in Computing Departments Negatively Predict First-Year Students' Sense of Belonging, Self-Efficacy, and Perception of Department","publication_year":2020,"publication_date":"2020-02-25","ids":{"openalex":"https://openalex.org/W3010523390","doi":"https://doi.org/10.1145/3328778.3366805","mag":"3010523390"},"language":"en","primary_location":{"id":"doi:10.1145/3328778.3366805","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3328778.3366805","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3328778.3366805","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st ACM Technical Symposium on Computer Science Education","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3328778.3366805","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029731231","display_name":"An Nguyen","orcid":"https://orcid.org/0000-0002-7074-6807"},"institutions":[{"id":"https://openalex.org/I133543626","display_name":"Harvey Mudd College","ror":"https://ror.org/025ecfn45","country_code":"US","type":"education","lineage":["https://openalex.org/I133543626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"An Nguyen","raw_affiliation_strings":["Harvey Mudd College, Claremont, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvey Mudd College, Claremont, CA, USA","institution_ids":["https://openalex.org/I133543626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065608156","display_name":"Colleen M. Lewis","orcid":"https://orcid.org/0000-0001-7339-5961"},"institutions":[{"id":"https://openalex.org/I133543626","display_name":"Harvey Mudd College","ror":"https://ror.org/025ecfn45","country_code":"US","type":"education","lineage":["https://openalex.org/I133543626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Colleen M. Lewis","raw_affiliation_strings":["Harvey Mudd College, Claremont, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvey Mudd College, Claremont, CA, USA","institution_ids":["https://openalex.org/I133543626"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I133543626"],"apc_list":null,"apc_paid":null,"fwci":10.4049,"has_fulltext":true,"cited_by_count":70,"citation_normalized_percentile":{"value":0.99106599,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"685","last_page":"691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9909999966621399,"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/T11122","display_name":"Online Learning and Analytics","score":0.9909999966621399,"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/T10267","display_name":"Higher Education Research Studies","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"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/T10355","display_name":"Impact of Technology on Adolescents","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/perception","display_name":"Perception","score":0.6652994751930237},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.558508038520813},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4944801330566406},{"id":"https://openalex.org/keywords/self-efficacy","display_name":"Self-efficacy","score":0.48313233256340027},{"id":"https://openalex.org/keywords/competitive-advantage","display_name":"Competitive advantage","score":0.4463108777999878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36504215002059937},{"id":"https://openalex.org/keywords/medical-education","display_name":"Medical education","score":0.33524376153945923},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.30026644468307495},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1586424708366394},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.14683949947357178},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1410958170890808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1254115104675293}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6652994751930237},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.558508038520813},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4944801330566406},{"id":"https://openalex.org/C110131835","wikidata":"https://www.wikidata.org/wiki/Q1153659","display_name":"Self-efficacy","level":2,"score":0.48313233256340027},{"id":"https://openalex.org/C58546491","wikidata":"https://www.wikidata.org/wiki/Q1150207","display_name":"Competitive advantage","level":2,"score":0.4463108777999878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36504215002059937},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.33524376153945923},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.30026644468307495},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1586424708366394},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.14683949947357178},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1410958170890808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1254115104675293},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3328778.3366805","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3328778.3366805","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3328778.3366805","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st ACM Technical Symposium on Computer Science Education","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3328778.3366805","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3328778.3366805","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3328778.3366805","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st ACM Technical Symposium on Computer Science Education","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2127775054","display_name":"Developing Evidence-based Best Practices for Broadening Participation in Computing Education","funder_award_id":"1821136","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308633","display_name":"Computing Research Association","ror":"https://ror.org/00agrkd75"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3010523390.pdf","grobid_xml":"https://content.openalex.org/works/W3010523390.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W204071738","https://openalex.org/W575086601","https://openalex.org/W1522024619","https://openalex.org/W1976599909","https://openalex.org/W1980783498","https://openalex.org/W2018990635","https://openalex.org/W2029983949","https://openalex.org/W2030768171","https://openalex.org/W2039690881","https://openalex.org/W2039783468","https://openalex.org/W2045594163","https://openalex.org/W2057885172","https://openalex.org/W2067386609","https://openalex.org/W2072225709","https://openalex.org/W2081155210","https://openalex.org/W2090782242","https://openalex.org/W2114886441","https://openalex.org/W2158382820","https://openalex.org/W2164777277","https://openalex.org/W2317557327","https://openalex.org/W2527035325","https://openalex.org/W2581618815","https://openalex.org/W2591916552","https://openalex.org/W2604713641","https://openalex.org/W2620807345","https://openalex.org/W2749469352","https://openalex.org/W2779812635","https://openalex.org/W2882978239","https://openalex.org/W2917563899","https://openalex.org/W2966086133","https://openalex.org/W4210444181"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W3209204065","https://openalex.org/W1755711892","https://openalex.org/W2160907113","https://openalex.org/W2070813941","https://openalex.org/W2105707930","https://openalex.org/W2293471625","https://openalex.org/W2478484903"],"abstract_inverted_index":{"Enrollment":[0],"in":[1,49,82,94],"computing":[2,71,106],"at":[3],"the":[4,24,70,128,137],"college":[5],"level":[6],"has":[7],"skyrocketed,":[8],"and":[9,38,79,86,116,125],"many":[10],"institutions":[11,111],"have":[12],"responded":[13],"by":[14],"enacting":[15],"competitive":[16,62,113,140],"enrollment":[17,27,63],"processes.":[18],"However,":[19],"little":[20],"is":[21,114],"known":[22,89],"about":[23],"effects":[25,138],"of":[26,56,69,77,91,110,136,139],"policies":[28,37],"on":[29],"students'":[30,39,67],"experiences.":[31],"To":[32],"identify":[33],"relationships":[34,99,130],"between":[35],"those":[36],"experiences,":[40],"we":[41,131],"linked":[42],"survey":[43],"data":[44],"from":[45],"1245":[46],"first-year":[47,66],"students":[48,103],"80":[50],"CS":[51],"departments":[52],"to":[53],"a":[54],"dataset":[55],"department":[57,72],"policies.":[58],"We":[59],"found":[60,132],"that":[61,127],"negatively":[64],"predicts":[65],"perception":[68],"as":[73,112],"welcoming,":[74],"their":[75,80],"sense":[76],"belonging,":[78],"self-efficacy":[81,87],"computing.":[83],"Both":[84],"belonging":[85],"are":[88,100,119,133],"predictors":[90],"student":[92],"retention":[93],"CS.":[95],"In":[96],"addition,":[97],"these":[98],"stronger":[101],"for":[102],"without":[104],"pre-college":[105],"experience.":[107],"Our":[108],"classification":[109],"conservative,":[115],"false":[117],"positives":[118],"likely.":[120],"This":[121],"biases":[122],"our":[123],"results":[124],"suggests":[126],"negative":[129],"an":[134],"underestimation":[135],"enrollment.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
