{"id":"https://openalex.org/W2916024909","doi":"https://doi.org/10.1145/3303772.3303809","title":"The Impact of Student Opt-Out on Educational Predictive Models","display_name":"The Impact of Student Opt-Out on Educational Predictive Models","publication_year":2019,"publication_date":"2019-02-25","ids":{"openalex":"https://openalex.org/W2916024909","doi":"https://doi.org/10.1145/3303772.3303809","mag":"2916024909"},"language":"en","primary_location":{"id":"doi:10.1145/3303772.3303809","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3303772.3303809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Learning Analytics & Knowledge","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/A5002095963","display_name":"Warren Li","orcid":"https://orcid.org/0000-0003-3120-7728"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Warren Li","raw_affiliation_strings":["University of Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081802677","display_name":"Christopher Brooks","orcid":"https://orcid.org/0000-0003-0875-0204"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Brooks","raw_affiliation_strings":["University of Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061205711","display_name":"Florian Schaub","orcid":"https://orcid.org/0000-0003-1039-7155"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Florian Schaub","raw_affiliation_strings":["University of Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0122,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82181554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"411","last_page":"420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9923999905586243,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9923999905586243,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9905999898910522,"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/T11122","display_name":"Online Learning and Analytics","score":0.9821000099182129,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5655797123908997}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5655797123908997}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3303772.3303809","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3303772.3303809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Learning Analytics & Knowledge","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W58212258","https://openalex.org/W410845123","https://openalex.org/W964600994","https://openalex.org/W1525890304","https://openalex.org/W1575122726","https://openalex.org/W1618400674","https://openalex.org/W1812976209","https://openalex.org/W1918776538","https://openalex.org/W1955911981","https://openalex.org/W1974971448","https://openalex.org/W1982464953","https://openalex.org/W1984255983","https://openalex.org/W1990836268","https://openalex.org/W1991343542","https://openalex.org/W2014924105","https://openalex.org/W2037789405","https://openalex.org/W2052037026","https://openalex.org/W2053154970","https://openalex.org/W2080453063","https://openalex.org/W2085106103","https://openalex.org/W2087750029","https://openalex.org/W2113928737","https://openalex.org/W2120647424","https://openalex.org/W2121483459","https://openalex.org/W2132791018","https://openalex.org/W2142141517","https://openalex.org/W2149282659","https://openalex.org/W2154591300","https://openalex.org/W2161229593","https://openalex.org/W2168994663","https://openalex.org/W2171263140","https://openalex.org/W2171978454","https://openalex.org/W2175662266","https://openalex.org/W2336314092","https://openalex.org/W2471781829","https://openalex.org/W2473313289","https://openalex.org/W2513036450","https://openalex.org/W2529251251","https://openalex.org/W2573660794","https://openalex.org/W2753975405","https://openalex.org/W2791003294","https://openalex.org/W2804777267","https://openalex.org/W2951152347","https://openalex.org/W3110925910","https://openalex.org/W3125057561","https://openalex.org/W3187720465","https://openalex.org/W4251428492"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2093578348","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2049775471","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Privacy":[0],"concerns":[1],"may":[2,17],"lead":[3],"people":[4],"to":[5,32,38,43],"opt-in":[6],"or":[7,40],"opt-out":[8,58],"of":[9,21,36,49,57,62,71,76],"having":[10],"their":[11,44],"educational":[12,22,63],"data":[13,45,72],"collected.":[14],"These":[15],"decisions":[16],"impact":[18],"the":[19,34,47,55,60,84,112],"performance":[20,114],"predictive":[23,51,64,91],"models.":[24,52],"To":[25],"understand":[26],"this,":[27],"we":[28],"conducted":[29],"a":[30,68,74],"survey":[31,85],"determine":[33],"propensity":[35],"students":[37],"withhold":[39],"grant":[41],"access":[42],"for":[46],"purposes":[48],"training":[50],"We":[53,87],"simulated":[54],"effects":[56],"on":[59],"accuracy":[61],"models":[65,92],"by":[66],"dropping":[67],"random":[69],"sample":[70],"over":[73],"range":[75],"increments,":[77],"and":[78,96],"then":[79],"contextualize":[80],"our":[81],"findings":[82],"using":[83],"results.":[86],"find":[88],"that":[89,97],"grade":[90],"are":[93],"fairly":[94],"robust":[95],"kappa":[98],"scores":[99],"do":[100],"not":[101],"decrease":[102],"unless":[103],"there":[104,110],"is":[105],"signiicant":[106],"opt-out,":[107],"but":[108],"when":[109],"is,":[111],"deteriorating":[113],"disproportionately":[115],"affects":[116],"certain":[117],"subpopulations.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}