{"id":"https://openalex.org/W4214905862","doi":"https://doi.org/10.1145/3506860.3506902","title":"FairEd: A Systematic Fairness Analysis Approach Applied in a Higher Educational Context","display_name":"FairEd: A Systematic Fairness Analysis Approach Applied in a Higher Educational Context","publication_year":2022,"publication_date":"2022-03-03","ids":{"openalex":"https://openalex.org/W4214905862","doi":"https://doi.org/10.1145/3506860.3506902"},"language":"en","primary_location":{"id":"doi:10.1145/3506860.3506902","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3506860.3506902","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3506860.3506902","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"LAK22: 12th International Learning Analytics and Knowledge Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3506860.3506902","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013218407","display_name":"Jonathan V\u00e1squez","orcid":"https://orcid.org/0000-0002-6907-0088"},"institutions":[{"id":"https://openalex.org/I149744451","display_name":"Valparaiso University","ror":"https://ror.org/01pp0fx48","country_code":"US","type":"education","lineage":["https://openalex.org/I149744451"]},{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jonathan Vasquez Verdugo","raw_affiliation_strings":["Computer Science, George Mason University, United States and Ingenieria en Informacion y Control de Gestion, Universidad de Valparaiso, Chile"],"affiliations":[{"raw_affiliation_string":"Computer Science, George Mason University, United States and Ingenieria en Informacion y Control de Gestion, Universidad de Valparaiso, Chile","institution_ids":["https://openalex.org/I149744451","https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029009552","display_name":"Xavier Gitiaux","orcid":"https://orcid.org/0000-0002-6648-0225"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xavier Gitiaux","raw_affiliation_strings":["Computer Science, George Mason University, United States"],"affiliations":[{"raw_affiliation_string":"Computer Science, George Mason University, United States","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055261518","display_name":"C\u00e9sar Ortega-Santana","orcid":"https://orcid.org/0000-0003-4995-4676"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Cesar Ortega","raw_affiliation_strings":["Facultad de Economia y Negocios, Universidad de Chile, Chile"],"affiliations":[{"raw_affiliation_string":"Facultad de Economia y Negocios, Universidad de Chile, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006581225","display_name":"Huzefa Rangwala","orcid":"https://orcid.org/0000-0003-0435-0035"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huzefa Rangwala","raw_affiliation_strings":["George Mason University, United States"],"affiliations":[{"raw_affiliation_string":"George Mason University, United States","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013218407"],"corresponding_institution_ids":["https://openalex.org/I149744451","https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":3.8829,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.93730532,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"271","last_page":"281"},"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":0.9941999912261963,"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":0.9941999912261963,"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/T13051","display_name":"Qualitative Comparative Analysis Research","score":0.9775999784469604,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9462000131607056,"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/framing","display_name":"Framing (construction)","score":0.659270167350769},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5631243586540222},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5401889085769653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5135110020637512},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4910464286804199},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46029433608055115},{"id":"https://openalex.org/keywords/decision-process","display_name":"Decision process","score":0.42755964398384094},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.4256807565689087},{"id":"https://openalex.org/keywords/systematic-review","display_name":"Systematic review","score":0.41060465574264526},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.36788415908813477},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.2905100882053375},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.21644163131713867},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.21049737930297852},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.11440181732177734},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.094227135181427}],"concepts":[{"id":"https://openalex.org/C169087156","wikidata":"https://www.wikidata.org/wiki/Q2131593","display_name":"Framing (construction)","level":2,"score":0.659270167350769},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5631243586540222},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5401889085769653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5135110020637512},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4910464286804199},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46029433608055115},{"id":"https://openalex.org/C2984634286","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision process","level":2,"score":0.42755964398384094},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4256807565689087},{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.41060465574264526},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.36788415908813477},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.2905100882053375},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.21644163131713867},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.21049737930297852},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.11440181732177734},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.094227135181427},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3506860.3506902","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3506860.3506902","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3506860.3506902","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"LAK22: 12th International Learning Analytics and Knowledge Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3506860.3506902","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3506860.3506902","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3506860.3506902","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"LAK22: 12th International Learning Analytics and Knowledge Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.44999998807907104,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320319253","display_name":"Agen\u021bia Na\u021bional\u0103 pentru Cercetare \u0219i Dezvoltare","ror":null},{"id":"https://openalex.org/F4320331146","display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","ror":null},{"id":"https://openalex.org/F4320338463","display_name":"CHIST-ERA","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214905862.pdf","grobid_xml":"https://content.openalex.org/works/W4214905862.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W560340983","https://openalex.org/W2014352947","https://openalex.org/W2040555123","https://openalex.org/W2045487331","https://openalex.org/W2061751771","https://openalex.org/W2086875106","https://openalex.org/W2091152716","https://openalex.org/W2100960835","https://openalex.org/W2132732000","https://openalex.org/W2591706028","https://openalex.org/W2605961645","https://openalex.org/W2810621440","https://openalex.org/W2897042519","https://openalex.org/W2911227954","https://openalex.org/W2915273119","https://openalex.org/W2962730996","https://openalex.org/W2963174898","https://openalex.org/W2965726901","https://openalex.org/W2966337615","https://openalex.org/W2966864175","https://openalex.org/W3001551978","https://openalex.org/W3016892886","https://openalex.org/W3023001449","https://openalex.org/W3029464237","https://openalex.org/W3089929726","https://openalex.org/W3091915852","https://openalex.org/W3093878986","https://openalex.org/W3100279624","https://openalex.org/W3152436735","https://openalex.org/W3196633694","https://openalex.org/W4231203432","https://openalex.org/W7014198846"],"related_works":["https://openalex.org/W1496503799","https://openalex.org/W2185686261","https://openalex.org/W2018486992","https://openalex.org/W2966223702","https://openalex.org/W2055120549","https://openalex.org/W2164023000","https://openalex.org/W2808351908","https://openalex.org/W4205785743","https://openalex.org/W3134352555","https://openalex.org/W2890573621"],"abstract_inverted_index":{"Higher":[0],"education":[1,38],"institutions":[2],"increasingly":[3],"rely":[4],"on":[5,175,193],"machine":[6],"learning":[7],"models.":[8],"However,":[9],"a":[10,47,65,124,130,167],"growing":[11],"body":[12],"of":[13,95,144,162,170,185],"evidence":[14],"shows":[15],"that":[16,181],"these":[17],"algorithms":[18],"may":[19],"not":[20],"serve":[21],"underprivileged":[22],"communities":[23],"well":[24],"and":[25,54,80,154],"at":[26],"times":[27],"discriminate":[28],"against":[29],"them.":[30],"This":[31],"is":[32,121,135,187],"all":[33],"the":[34,78,91,99,142,145,160,183,196],"more":[35],"concerning":[36],"in":[37],"as":[39],"negative":[40],"outcomes":[41,61,111],"have":[42],"long-term":[43],"implications.":[44],"We":[45],"propose":[46],"systematic":[48,59,119],"process":[49],"for":[50],"framing,":[51],"detecting,":[52],"documenting,":[53],"reporting":[55,163],"unfairness":[56,75,149,164],"risks.":[57],"The":[58,84,118],"approach\u2019s":[60],"are":[62],"merged":[63],"into":[64],"framework":[66],"named":[67],"FairEd,":[68],"which":[69],"would":[70],"help":[71],"decision-makers":[72],"to":[73,87,123,137,172,191],"understand":[74],"risks":[76,94,165],"along":[77,103,151,166],"environmental":[79],"analytical":[81],"fairness":[82,105,186],"dimension.":[83],"tool":[85],"allows":[86],"decide":[88],"(i)":[89],"whether":[90,108],"dataset":[92],"contains":[93],"unfairness;":[96],"(ii)":[97],"how":[98],"models":[100],"could":[101],"perform":[102],"many":[104],"dimensions;":[106],"(iii)":[107],"potentially":[109],"unfair":[110],"can":[112],"be":[113],"mitigated":[114],"without":[115],"degrading":[116],"performance.":[117],"approach":[120],"applied":[122],"Chilean":[125,146],"University":[126],"case":[127],"study,":[128],"where":[129,148],"predicting":[131],"student":[132],"dropout":[133],"model":[134,197],"aimed":[136],"build.":[138],"First,":[139],"we":[140,158,179],"capture":[141],"nuances":[143],"context":[147],"emerges":[150],"income":[152],"lines":[153],"demographic":[155],"groups.":[156],"Second,":[157],"highlight":[159],"benefit":[161],"diverse":[168],"set":[169],"metrics":[171],"shed":[173],"light":[174],"potential":[176],"discrimination.":[177],"Third,":[178],"find":[180],"measuring":[182],"cost":[184],"an":[188],"important":[189],"quantity":[190],"report":[192],"when":[194],"doing":[195],"selection.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
