{"id":"https://openalex.org/W3091968898","doi":"https://doi.org/10.1145/3368308.3415395","title":"Gendered Performance Differences in Information Technology Courses","display_name":"Gendered Performance Differences in Information Technology Courses","publication_year":2020,"publication_date":"2020-10-07","ids":{"openalex":"https://openalex.org/W3091968898","doi":"https://doi.org/10.1145/3368308.3415395","mag":"3091968898"},"language":"en","primary_location":{"id":"doi:10.1145/3368308.3415395","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3368308.3415395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st Annual Conference on Information Technology Education","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/A5046040510","display_name":"Rebekah Michael","orcid":null},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rebekah Michael","raw_affiliation_strings":["University of Cincinnati, Cincinnati, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cincinnati, Cincinnati, OH, USA","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112426088","display_name":"Hazem Said","orcid":"https://orcid.org/0000-0002-2453-1207"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hazem Said","raw_affiliation_strings":["University of Cincinnati, Cincinnati, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cincinnati, Cincinnati, OH, USA","institution_ids":["https://openalex.org/I63135867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63135867"],"apc_list":null,"apc_paid":null,"fwci":1.0638,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81222707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"87","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12515","display_name":"Gender and Technology in Education","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T12515","display_name":"Gender and Technology in Education","score":0.9984999895095825,"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/T11122","display_name":"Online Learning and Analytics","score":0.9659000039100647,"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/T10547","display_name":"Education, Achievement, and Giftedness","score":0.9211000204086304,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gender-gap","display_name":"Gender gap","score":0.645764172077179},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5916545987129211},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.5539737939834595},{"id":"https://openalex.org/keywords/higher-education","display_name":"Higher education","score":0.467995822429657},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.462363064289093},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.4577052593231201},{"id":"https://openalex.org/keywords/public-university","display_name":"Public university","score":0.4513496458530426},{"id":"https://openalex.org/keywords/path-analysis","display_name":"Path analysis (statistics)","score":0.4461633563041687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4224034249782562},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.422060489654541},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.34419822692871094},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.18863919377326965},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08302313089370728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08069974184036255}],"concepts":[{"id":"https://openalex.org/C2986619947","wikidata":"https://www.wikidata.org/wiki/Q30103150","display_name":"Gender gap","level":2,"score":0.645764172077179},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5916545987129211},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.5539737939834595},{"id":"https://openalex.org/C120912362","wikidata":"https://www.wikidata.org/wiki/Q136822","display_name":"Higher education","level":2,"score":0.467995822429657},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.462363064289093},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.4577052593231201},{"id":"https://openalex.org/C2991670904","wikidata":"https://www.wikidata.org/wiki/Q875538","display_name":"Public university","level":2,"score":0.4513496458530426},{"id":"https://openalex.org/C82793941","wikidata":"https://www.wikidata.org/wiki/Q1046024","display_name":"Path analysis (statistics)","level":2,"score":0.4461633563041687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4224034249782562},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.422060489654541},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.34419822692871094},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.18863919377326965},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08302313089370728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08069974184036255},{"id":"https://openalex.org/C3116431","wikidata":"https://www.wikidata.org/wiki/Q31728","display_name":"Public administration","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C4249254","wikidata":"https://www.wikidata.org/wiki/Q3044431","display_name":"Demographic economics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3368308.3415395","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3368308.3415395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st Annual Conference on Information Technology Education","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1520751981","https://openalex.org/W1826038875","https://openalex.org/W2328254571","https://openalex.org/W2469164059","https://openalex.org/W2506310640","https://openalex.org/W2510038802","https://openalex.org/W2583816082","https://openalex.org/W2770374759","https://openalex.org/W2790507172"],"related_works":["https://openalex.org/W1987827786","https://openalex.org/W2799586942","https://openalex.org/W2504091800","https://openalex.org/W2331775400","https://openalex.org/W2816728186","https://openalex.org/W2804624249","https://openalex.org/W2560130217","https://openalex.org/W605203981","https://openalex.org/W2911048623","https://openalex.org/W4292348877"],"abstract_inverted_index":{"This":[0,71,169],"study":[1,22,48,135,170],"aims":[2],"to":[3,28,37,74,137,157,173,177],"analyze":[4],"patterns":[5],"of":[6,25,60,77,151],"gender-based":[7],"grade":[8],"disparity":[9],"in":[10,31,41,65,82,120,153,165],"undergraduate":[11],"information":[12,78],"technology":[13],"(IT)":[14],"courses":[15,67,91,98,127],"at":[16,68],"a":[17,50,75,174],"public":[18],"research":[19,72,175],"university.":[20],"The":[21,47,130],"is":[23,119],"part":[24],"an":[26],"effort":[27],"understand":[29],"factors":[30,141],"IT":[32,42,83,90,181],"education":[33,44],"that":[34],"may":[35],"contribute":[36],"the":[38,107,121,126,134,149,154,166],"gender":[39,80,114,179],"gap":[40],"higher":[43],"and":[45,55,148,156,162],"careers.":[46],"followed":[49],"learning":[51],"analytics":[52],"methodology":[53],"developed":[54],"used":[56],"by":[57],"previous":[58],"studies":[59],"gendered":[61,93],"based":[62],"performance":[63,81,94],"differences":[64],"STEM":[66],"other":[69,163],"universities.":[70],"adds":[73],"base":[76],"on":[79,88,105,124],"courses.":[84],"Results":[85],"indicated":[86],"that,":[87,104],"average,":[89,106,125],"have":[92],"differences,":[95],"with":[96],"most":[97],"favoring":[99],"males.":[100],"Also,":[101],"results":[102],"found":[103],"course":[108,140,155,182],"delivery":[109],"method":[110],"does":[111],"not":[112],"impact":[113],"performance.":[115],"A":[116],"surprising":[117],"result":[118],"senior-level":[122],"courses,":[123],"favor":[128],"females.":[129],"recommendations":[131],"for":[132],"expanding":[133],"are":[136],"examine":[138],"additional":[139,159],"such":[142],"as":[143],"instructor":[144],"gender,":[145],"class":[146],"size,":[147],"number":[150],"females":[152],"include":[158],"computing":[160],"disciplines":[161],"universities":[164],"data":[167],"set.":[168],"will":[171],"lead":[172],"path":[176],"understanding":[178],"neutral":[180],"instruction.":[183]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}