{"id":"https://openalex.org/W4280601825","doi":"https://doi.org/10.1109/educon52537.2022.9766530","title":"Machine Learning to the Rescue: ML-Assisted Framework for Equity-Driven Education","display_name":"Machine Learning to the Rescue: ML-Assisted Framework for Equity-Driven Education","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4280601825","doi":"https://doi.org/10.1109/educon52537.2022.9766530"},"language":"en","primary_location":{"id":"doi:10.1109/educon52537.2022.9766530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/educon52537.2022.9766530","pdf_url":null,"source":{"id":"https://openalex.org/S4363607828","display_name":"2022 IEEE Global Engineering Education Conference (EDUCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Global Engineering Education Conference (EDUCON)","raw_type":"proceedings-article"},"type":"article","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/A5047890059","display_name":"Wooyoung Chung","orcid":"https://orcid.org/0009-0002-6574-8960"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wooyoung Chung","raw_affiliation_strings":["UC Davis,Davis,USA","UC Davis, Davis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Davis,Davis,USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"UC Davis, Davis, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768336","display_name":"Xiyu Zhang","orcid":"https://orcid.org/0000-0003-0775-1192"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiyu Zhang","raw_affiliation_strings":["UC Davis,Davis,USA","UC Davis, Davis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Davis,Davis,USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"UC Davis, Davis, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007157126","display_name":"Zunaira Ahmad","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zunaira Ahmad","raw_affiliation_strings":["UC Davis,Davis,USA","UC Davis, Davis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Davis,Davis,USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"UC Davis, Davis, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080844858","display_name":"Hossein Sayadi","orcid":"https://orcid.org/0000-0001-6423-0145"},"institutions":[{"id":"https://openalex.org/I59897056","display_name":"California State University, Long Beach","ror":"https://ror.org/0080fxk18","country_code":"US","type":"education","lineage":["https://openalex.org/I59897056"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hossein Sayadi","raw_affiliation_strings":["CSU Long Beach,Long Beach,USA","CSU Long Beach, Long Beach, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSU Long Beach,Long Beach,USA","institution_ids":["https://openalex.org/I59897056"]},{"raw_affiliation_string":"CSU Long Beach, Long Beach, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051940611","display_name":"Setareh Rafatirad","orcid":"https://orcid.org/0000-0002-0626-9778"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Setareh Rafatirad","raw_affiliation_strings":["UC Davis,Davis,USA","UC Davis, Davis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Davis,Davis,USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"UC Davis, Davis, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9556,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71064815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1254","last_page":"1263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9763000011444092,"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":0.9763000011444092,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9603000283241272,"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"}},{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9332000017166138,"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/equity","display_name":"Equity (law)","score":0.6183868646621704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.565089225769043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3348886966705322},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.22130778431892395}],"concepts":[{"id":"https://openalex.org/C199728807","wikidata":"https://www.wikidata.org/wiki/Q2578557","display_name":"Equity (law)","level":2,"score":0.6183868646621704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.565089225769043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3348886966705322},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.22130778431892395},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/educon52537.2022.9766530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/educon52537.2022.9766530","pdf_url":null,"source":{"id":"https://openalex.org/S4363607828","display_name":"2022 IEEE Global Engineering Education Conference (EDUCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Global Engineering Education Conference (EDUCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6000000238418579,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2056648275","https://openalex.org/W2600531987","https://openalex.org/W2952349219","https://openalex.org/W2972735048","https://openalex.org/W3016621059","https://openalex.org/W3022579796","https://openalex.org/W3037232247","https://openalex.org/W3104260136","https://openalex.org/W3104617516"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Data":[0,76,89,91,143],"Science":[1,77,144],"has":[2,17],"recently":[3],"experienced":[4],"a":[5,99,165,172],"significant":[6],"surge":[7],"in":[8,19,72,119,123,142,186,204],"producing":[9],"undergraduate":[10,140],"degree/certificate":[11],"and":[12,26,40,70,93,121,146,153,157,177,184,195,201,208,218],"course":[13,196,206],"enrollments.":[14],"This":[15],"growth":[16],"resulted":[18],"straining":[20],"program":[21],"resources":[22],"at":[23],"many":[24],"institutions":[25],"causing":[27],"concern":[28],"about":[29],"how":[30],"to":[31,35,47,58,63,68,97,105,115,134,198],"most":[32],"effectively":[33],"respond":[34],"the":[36,73,136],"rapidly":[37],"growing":[38],"demand":[39],"provide":[41,59],"equal":[42],"opportunities":[43],"for":[44,180,214],"all":[45],"students":[46,141,215],"pursue":[48],"their":[49,205],"degree.":[50],"The":[51],"primary":[52],"goal":[53],"of":[54,75,139,174,182,216],"this":[55,161],"work":[56],"is":[57],"an":[60,210],"intelligent":[61],"solution":[62],"automatically":[64],"identify":[65],"biases":[66,117,203],"related":[67,78],"race":[69,122,185,200],"gender":[71,120,156,175,183,202],"content":[74],"courses":[79],"such":[80],"as":[81],"Machine":[82],"Learning":[83],"(ML),":[84],"Natural":[85],"Language":[86],"Processing":[87],"(NLP),":[88],"Mining,":[90],"Analytics,":[92],"Knowledge":[94],"Discovery":[95],"just":[96],"name":[98],"few.":[100],"While":[101],"machine":[102,129],"learning":[103,130,212],"allows":[104],"build":[106],"powerful":[107],"predicting":[108],"tools,":[109],"it":[110],"hasn&#x2019;t":[111],"been":[112],"used":[113],"sufficiently":[114],"detect":[116],"rooted":[118],"educational":[124,187],"material.":[125],"Hence,":[126],"using":[127],"effective":[128],"techniques":[131],"we":[132,163],"aim":[133],"enhance":[135],"success":[137],"rate":[138],"education":[145],"programs":[147],"while":[148],"promoting":[149],"engagement":[150],"through":[151],"identifying":[152],"mitigating":[154],"potential":[155],"racial":[158],"biases.":[159],"To":[160],"end,":[162],"propose":[164],"novel":[166],"bias":[167],"detection":[168],"approach":[169],"which":[170],"uses":[171],"combination":[173],"identification":[176],"sentiment":[178],"classification":[179],"characterization":[181],"contents.":[188],"Our":[189],"proposed":[190],"framework":[191],"can":[192],"help":[193],"educators":[194],"developers":[197],"mitigate":[199],"materials":[207],"create":[209],"equitable":[211],"experience":[213],"minority":[217],"under-represented":[219],"groups.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
