{"id":"https://openalex.org/W3151746723","doi":"https://doi.org/10.1145/3448139.3448154","title":"Using Past Data to Warm Start Active Machine Learning: Does Context Matter?","display_name":"Using Past Data to Warm Start Active Machine Learning: Does Context Matter?","publication_year":2021,"publication_date":"2021-04-05","ids":{"openalex":"https://openalex.org/W3151746723","doi":"https://doi.org/10.1145/3448139.3448154","mag":"3151746723"},"language":"en","primary_location":{"id":"doi:10.1145/3448139.3448154","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448139.3448154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"LAK21: 11th International Learning Analytics and Knowledge Conference","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/A5083171731","display_name":"Shamya Karumbaiah","orcid":"https://orcid.org/0000-0002-7920-4510"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shamya Karumbaiah","raw_affiliation_strings":["University of Pennsylvania, United States"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, United States","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063813962","display_name":"Andrew Lan","orcid":"https://orcid.org/0000-0002-8475-6600"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Lan","raw_affiliation_strings":["University of Massachusetts Amherst, United States"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, United States","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037786953","display_name":"Sachit Nagpal","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sachit Nagpal","raw_affiliation_strings":["New York University, United States"],"affiliations":[{"raw_affiliation_string":"New York University, United States","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088695714","display_name":"Ryan S. Baker","orcid":"https://orcid.org/0000-0002-3051-3232"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan S. Baker","raw_affiliation_strings":["University of Pennsylvania, United States"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, United States","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016746228","display_name":"Anthony F. Botelho","orcid":"https://orcid.org/0000-0002-7373-4959"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Botelho","raw_affiliation_strings":["Worcester Polytechnic Institute, United States"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, United States","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078998782","display_name":"Neil T. Heffernan","orcid":"https://orcid.org/0000-0002-3280-288X"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Heffernan","raw_affiliation_strings":["Worcester Polytechnic Institute, United States"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, United States","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083171731"],"corresponding_institution_ids":["https://openalex.org/I36788626"],"apc_list":null,"apc_paid":null,"fwci":1.8199,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87535022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"151","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9997000098228455,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9997000098228455,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9980999827384949,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9848999977111816,"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/context","display_name":"Context (archaeology)","score":0.6482569575309753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6063564419746399},{"id":"https://openalex.org/keywords/active-matter","display_name":"Active matter","score":0.4154531955718994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3341061472892761},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14558807015419006}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6482569575309753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6063564419746399},{"id":"https://openalex.org/C2775993382","wikidata":"https://www.wikidata.org/wiki/Q4677565","display_name":"Active matter","level":2,"score":0.4154531955718994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3341061472892761},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14558807015419006},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3448139.3448154","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448139.3448154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"LAK21: 11th International Learning Analytics and Knowledge Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7799999713897705,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W184042456","https://openalex.org/W973843712","https://openalex.org/W1608774410","https://openalex.org/W1918776538","https://openalex.org/W1971257163","https://openalex.org/W1995864528","https://openalex.org/W2013918364","https://openalex.org/W2085989833","https://openalex.org/W2112376540","https://openalex.org/W2114188922","https://openalex.org/W2161188078","https://openalex.org/W2520384474","https://openalex.org/W2611176525","https://openalex.org/W2699539148","https://openalex.org/W2752985199","https://openalex.org/W2756344104","https://openalex.org/W2774918944","https://openalex.org/W2807147102","https://openalex.org/W2809640305","https://openalex.org/W2914331073","https://openalex.org/W2951911250","https://openalex.org/W2962740320","https://openalex.org/W2963902936","https://openalex.org/W2965180936","https://openalex.org/W2965830249","https://openalex.org/W2980405496","https://openalex.org/W3169504656","https://openalex.org/W4206723194","https://openalex.org/W4241257641","https://openalex.org/W4253441850","https://openalex.org/W6766624007"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3127679539","https://openalex.org/W2754312467","https://openalex.org/W4306824620","https://openalex.org/W4284696996","https://openalex.org/W4294877867","https://openalex.org/W2795662493","https://openalex.org/W3107474891","https://openalex.org/W2376345092"],"abstract_inverted_index":{"Despite":[0],"the":[1,13,25,57,72,85,96,100,112,124,132,140,148,172,215,223,228,241],"abundance":[2],"of":[3,15,27,46,87,126,142,174,177,230],"data":[4,58,74,108,128,150,193,201,224,232],"generated":[5],"from":[6,79,95],"students\u2019":[7],"activities":[8],"in":[9,19,68,146,165,240],"virtual":[10],"learning":[11,18,20,48],"environments,":[12],"use":[14,125,157,234],"supervised":[16],"machine":[17,47],"analytics":[21],"is":[22],"limited":[23],"by":[24],"availability":[26],"labeled":[28,78],"data,":[29,91],"which":[30,147],"can":[31],"be":[32,208],"difficult":[33],"to":[34,55,70,76,84,106,110,116,129,170,202,233],"collect":[35],"for":[36,192,210],"complex":[37],"educational":[38,88],"constructs.":[39],"In":[40,119],"a":[41,44,63,80],"previous":[42],"study,":[43],"subfield":[45],"called":[49],"Active":[50],"Learning":[51],"(AL)":[52],"was":[53,151],"explored":[54],"improve":[56],"labeling":[59],"efficiency.":[60],"AL":[61,92,133,184,205,238],"trains":[62],"model":[64,101],"and":[65,90,189,227,243],"uses":[66],"it,":[67],"parallel,":[69],"choose":[71,111],"next":[73,114],"sample":[75,115],"get":[77],"human":[81,163],"expert.":[82],"Due":[83],"complexity":[86],"constructs":[89],"has":[93],"suffered":[94],"cold-start":[97],"problem":[98],"where":[99],"does":[102],"not":[103],"have":[104],"access":[105],"sufficient":[107],"yet":[109],"best":[113],"learn":[117],"from.":[118],"this":[120,154],"paper,":[121],"we":[122,156],"explore":[123],"past":[127,149,200,231],"warm":[130,203,236],"start":[131,204],"training":[134,206,239],"process.":[135],"We":[136,180,219],"also":[137],"critically":[138],"examine":[139],"implications":[141],"differing":[143],"contexts":[144],"(urbanicity)":[145],"collected.":[152],"To":[153],"end,":[155],"authentic":[158],"affect":[159],"labels":[160],"collected":[161],"through":[162],"observations":[164],"middle":[166],"school":[167],"mathematics":[168],"classrooms":[169],"simulate":[171],"development":[173],"AL-based":[175],"detectors":[176],"engaged":[178],"concentration.":[179],"experiment":[181],"with":[182],"two":[183],"methods":[185,212],"(uncertainty":[186],"sampling,":[187],"L-MMSE)":[188],"random":[190],"sampling":[191],"selection.":[194],"Our":[195],"results":[196],"suggest":[197],"that":[198],"using":[199],"could":[207],"effective":[209],"some":[211],"based":[213],"on":[214,222],"target":[216],"population's":[217],"urbanicity.":[218],"provide":[220],"recommendations":[221],"selection":[225],"method":[226],"quantity":[229],"when":[235],"starting":[237],"urban":[242],"suburban":[244],"schools.":[245]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
