{"id":"https://openalex.org/W2807669613","doi":"https://doi.org/10.1145/3206157.3206179","title":"Using Data Mining to Analyze High School AP Exam Pass Fail Rates","display_name":"Using Data Mining to Analyze High School AP Exam Pass Fail Rates","publication_year":2018,"publication_date":"2018-03-09","ids":{"openalex":"https://openalex.org/W2807669613","doi":"https://doi.org/10.1145/3206157.3206179","mag":"2807669613"},"language":"en","primary_location":{"id":"doi:10.1145/3206157.3206179","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3206157.3206179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Big Data and Education","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/A5071774667","display_name":"Andrea Yoder Clark","orcid":null},"institutions":[{"id":"https://openalex.org/I160856358","display_name":"University of San Diego","ror":"https://ror.org/03jbbze48","country_code":"US","type":"education","lineage":["https://openalex.org/I160856358"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andrea Yoder Clark","raw_affiliation_strings":["University of San Diego, San Diego, CA"],"affiliations":[{"raw_affiliation_string":"University of San Diego, San Diego, CA","institution_ids":["https://openalex.org/I160856358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014235234","display_name":"Feng Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Yu","raw_affiliation_strings":["University of California, San Diego, La Jolla, CA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego, La Jolla, CA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047432058","display_name":"Shaoqing Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaoqing Yi","raw_affiliation_strings":["University of California, San Diego, La Jolla, CA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego, La Jolla, CA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101969483","display_name":"Jia Shi","orcid":"https://orcid.org/0000-0002-9158-1749"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia Shi","raw_affiliation_strings":["University of California, San Diego, La Jolla, CA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego, La Jolla, CA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071774667"],"corresponding_institution_ids":["https://openalex.org/I160856358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05599862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"44","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9994000196456909,"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":0.9994000196456909,"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/T10959","display_name":"Student Assessment and Feedback","score":0.9567999839782715,"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/T10674","display_name":"School Choice and Performance","score":0.9304999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/charter-school","display_name":"Charter school","score":0.5477381348609924},{"id":"https://openalex.org/keywords/english-language","display_name":"English language","score":0.5380107760429382},{"id":"https://openalex.org/keywords/poverty","display_name":"Poverty","score":0.5146557092666626},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.49684837460517883},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.45489639043807983},{"id":"https://openalex.org/keywords/charter","display_name":"Charter","score":0.4291011095046997},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.353303998708725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32793641090393066},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.306995153427124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.301993727684021},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.16021311283111572}],"concepts":[{"id":"https://openalex.org/C2992627588","wikidata":"https://www.wikidata.org/wiki/Q12241709","display_name":"Charter school","level":3,"score":0.5477381348609924},{"id":"https://openalex.org/C2987496018","wikidata":"https://www.wikidata.org/wiki/Q1860","display_name":"English language","level":2,"score":0.5380107760429382},{"id":"https://openalex.org/C189326681","wikidata":"https://www.wikidata.org/wiki/Q10294","display_name":"Poverty","level":2,"score":0.5146557092666626},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.49684837460517883},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.45489639043807983},{"id":"https://openalex.org/C2777596936","wikidata":"https://www.wikidata.org/wiki/Q727002","display_name":"Charter","level":2,"score":0.4291011095046997},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.353303998708725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32793641090393066},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.306995153427124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.301993727684021},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.16021311283111572},{"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:10.1145/3206157.3206179","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3206157.3206179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Big Data and Education","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W109702185","https://openalex.org/W1557937891","https://openalex.org/W1984534659","https://openalex.org/W1995229119","https://openalex.org/W2010323755","https://openalex.org/W2044828339","https://openalex.org/W2089164723","https://openalex.org/W2109700222","https://openalex.org/W2138334515","https://openalex.org/W2327381789"],"related_works":["https://openalex.org/W2343177251","https://openalex.org/W56510475","https://openalex.org/W3145608148","https://openalex.org/W2261039578","https://openalex.org/W2029145293","https://openalex.org/W2539671393","https://openalex.org/W2132919521","https://openalex.org/W2770011256","https://openalex.org/W4251692560","https://openalex.org/W1966260314"],"abstract_inverted_index":{"This":[0],"study":[1],"uses":[2],"data":[3,28],"mining":[4],"analytics":[5],"techniques":[6],"including":[7],"trained":[8],"multiple":[9,129],"regression":[10,130],"models":[11],"to":[12,203],"identify":[13],"the":[14,30,43,46,67,76,91,98,101,111,123,126,162,181,191,207],"predictors":[15],"of":[16,32,35,48,69,78,93,100,125,139,165,168,184,193,209,212],"AP":[17,187],"pass":[18,188],"rates":[19,211],"in":[20,42],"CA":[21],"public":[22,118],"high":[23,166,185,201,210],"schools":[24],"using":[25],"publicly":[26],"available":[27],"from":[29],"State":[31],"California's":[33],"Department":[34],"Education":[36],"website.":[37],"The":[38,128],"independent":[39],"variables":[40,88],"included":[41],"analysis":[44],"explored":[45],"relationship":[47],"elementary":[49],"and":[50,57,83,132,144,170],"middle":[51],"school":[52,73,112,186],"characteristics":[53],"such":[54],"as":[55,64,66,120,122],"Math":[56,178],"English":[58,94,217],"Language":[59,95],"Arts":[60],"(ELA)":[61],"test":[62],"scores,":[63],"well":[65,121],"degree":[68],"poverty":[70,213],"at":[71,173],"a":[72,114,174],"represented":[74],"by":[75],"percentage":[77,92],"students":[79,172],"qualifying":[80],"for":[81],"Free":[82],"Reduced-Price":[84],"Meals":[85],"(FRPM).":[86],"Other":[87],"considered":[89],"were":[90,180],"Learners":[96],"(ELL's),":[97],"size":[99],"school,":[102,119],"special":[103],"curricular":[104],"programs":[105],"(IB":[106],"program,":[107],"dual":[108],"language),":[109],"whether":[110],"was":[113,199],"charter":[115],"or":[116,214],"traditional":[117],"age":[124],"school.":[127,175],"model":[131],"exploratory":[133],"correlational":[134],"analysis,":[135],"highlighted":[136],"interaction":[137],"effects":[138,159,208],"two":[140],"key":[141],"variables,":[142],"FRPM":[143,169],"ELL's.":[145],"Our":[146],"final":[147],"results":[148],"indicated":[149],"that,":[150],"higher":[151],"3rd":[152,176,194],"grade":[153,177,195],"math":[154,197],"scores":[155,179,198],"offered":[156],"some":[157],"mediating":[158],"protecting":[160],"against":[161],"negative":[163],"effect":[164,192],"levels":[167],"ELL":[171],"best":[182],"predictor":[183],"rates.":[189],"Unfortunately,":[190],"mean":[196],"not":[200],"enough":[202],"completely":[204],"cancel":[205],"out":[206],"being":[215],"an":[216],"language":[218],"learner.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
