{"id":"https://openalex.org/W2602387228","doi":"https://doi.org/10.1109/vast.2016.7883517","title":"DropoutSeer: Visualizing learning patterns in Massive Open Online Courses for dropout reasoning and prediction","display_name":"DropoutSeer: Visualizing learning patterns in Massive Open Online Courses for dropout reasoning and prediction","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2602387228","doi":"https://doi.org/10.1109/vast.2016.7883517","mag":"2602387228"},"language":"en","primary_location":{"id":"doi:10.1109/vast.2016.7883517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2016.7883517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Conference on Visual Analytics Science and Technology (VAST)","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/A5055175414","display_name":"Yuanzhe Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yuanzhe Chen","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371357","display_name":"Qing Chen","orcid":"https://orcid.org/0000-0002-2612-5691"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qing Chen","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033425538","display_name":"Mingqian Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Mingqian Zhao","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080393799","display_name":"S\u00e9bastien Boyer","orcid":"https://orcid.org/0000-0002-2946-586X"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sebastien Boyer","raw_affiliation_strings":["Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067352490","display_name":"Kalyan Veeramachaneni","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalyan Veeramachaneni","raw_affiliation_strings":["Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091466289","display_name":"Huamin Qu","orcid":"https://orcid.org/0000-0002-3344-9694"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Huamin Qu","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055175414"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":9.9475,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.97712976,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"111","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9994999766349792,"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":0.9994999766349792,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.960099995136261,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/dropout","display_name":"Dropout (neural networks)","score":0.930912971496582},{"id":"https://openalex.org/keywords/clickstream","display_name":"Clickstream","score":0.8913781642913818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7820372581481934},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.6973919868469238},{"id":"https://openalex.org/keywords/educational-data-mining","display_name":"Educational data mining","score":0.5192390084266663},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5001471042633057},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4005570113658905},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38909828662872314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36421558260917664},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.2125435769557953},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20363855361938477}],"concepts":[{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.930912971496582},{"id":"https://openalex.org/C138744977","wikidata":"https://www.wikidata.org/wiki/Q5132438","display_name":"Clickstream","level":5,"score":0.8913781642913818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7820372581481934},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.6973919868469238},{"id":"https://openalex.org/C2777598771","wikidata":"https://www.wikidata.org/wiki/Q5341279","display_name":"Educational data mining","level":2,"score":0.5192390084266663},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5001471042633057},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4005570113658905},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38909828662872314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36421558260917664},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2125435769557953},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20363855361938477},{"id":"https://openalex.org/C130436687","wikidata":"https://www.wikidata.org/wiki/Q7978591","display_name":"Web modeling","level":3,"score":0.0},{"id":"https://openalex.org/C127613066","wikidata":"https://www.wikidata.org/wiki/Q557770","display_name":"Web API","level":4,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/vast.2016.7883517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2016.7883517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-85006","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-85006","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-85006","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2016&rft.spage=&rft.aulast=Chen&rft.aufirst=Qing%7C015686&rft.atitle=DropoutSeer%3A+Visualizing+learning+patterns+in+Massive+Open+Online+Courses+for+dropout+reasoning+and+%0Aprediction&rft.title=2016+IEEE+Conference+on+Visual+Analytics+Science+and+Technology+%28VAST%29%2C+Baltimore%2C+USA","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323537","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597"},{"id":"https://openalex.org/F4320326427","display_name":"Innovation and Technology Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W139043267","https://openalex.org/W302995030","https://openalex.org/W1506246224","https://openalex.org/W1507179460","https://openalex.org/W1529934776","https://openalex.org/W1562033606","https://openalex.org/W1576209423","https://openalex.org/W1792679987","https://openalex.org/W1899382931","https://openalex.org/W1907596159","https://openalex.org/W1979863690","https://openalex.org/W1996034305","https://openalex.org/W2001542951","https://openalex.org/W2008829347","https://openalex.org/W2009662901","https://openalex.org/W2009858410","https://openalex.org/W2017202111","https://openalex.org/W2018206893","https://openalex.org/W2032516371","https://openalex.org/W2097236039","https://openalex.org/W2099223662","https://openalex.org/W2103822396","https://openalex.org/W2106738877","https://openalex.org/W2109857088","https://openalex.org/W2111263072","https://openalex.org/W2114313114","https://openalex.org/W2128938146","https://openalex.org/W2142334564","https://openalex.org/W2144588087","https://openalex.org/W2159741202","https://openalex.org/W2161133721","https://openalex.org/W2168585122","https://openalex.org/W2250301877","https://openalex.org/W2250880511","https://openalex.org/W2251048942","https://openalex.org/W2251560010","https://openalex.org/W2345188977","https://openalex.org/W2396992199","https://openalex.org/W2571556581","https://openalex.org/W2963872107","https://openalex.org/W6610848595","https://openalex.org/W6630283052","https://openalex.org/W6630417432","https://openalex.org/W6633604433","https://openalex.org/W6712592747","https://openalex.org/W6731803498","https://openalex.org/W6941396493"],"related_works":["https://openalex.org/W2975622968","https://openalex.org/W4313414442","https://openalex.org/W2602387228","https://openalex.org/W4307851609","https://openalex.org/W1987827786","https://openalex.org/W3061763893","https://openalex.org/W2799586942","https://openalex.org/W4367360465","https://openalex.org/W2911048623","https://openalex.org/W4387695312"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"massive":[2],"participation":[3],"and":[4,87,130,172,175,187,197],"open":[5],"access":[6],"education,":[7],"Massive":[8],"Open":[9],"Online":[10],"Courses":[11],"(MOOCs)":[12],"have":[13,53,190],"attracted":[14],"millions":[15],"of":[16,28,35,45,100,106,152,164,199],"learners":[17,29],"over":[18],"the":[19,24,36,43,70,81,84,104,113,134,150,153,156,176,182,195],"past":[20],"few":[21],"years.":[22],"However,":[23],"high":[25],"dropout":[26,58,71],"rate":[27],"is":[30,74],"considered":[31],"to":[32,56,79,91,142,193],"be":[33],"one":[34],"most":[37],"crucial":[38,144],"factors":[39],"that":[40],"may":[41],"hinder":[42],"development":[44],"MOOCs.":[46],"To":[47],"tackle":[48],"this":[49,116],"problem,":[50],"statistical":[51],"models":[52,67],"been":[54,191],"developed":[55],"predict":[57],"behavior":[59],"based":[60],"on":[61],"learner":[62,165],"activity":[63,166],"logs.":[64],"Although":[65],"predictive":[66,107],"can":[68,111,147],"foresee":[69],"behavior,":[72],"it":[73],"still":[75],"difficult":[76],"for":[77,136],"users":[78],"understand":[80,133],"reasons":[82,135],"behind":[83],"predicted":[85,177],"results":[86,178],"further":[88,148],"design":[89],"interventions":[90],"prevent":[92],"dropout.":[93],"In":[94,115],"addition,":[95],"with":[96],"a":[97,121],"better":[98],"understanding":[99],"dropout,":[101,137],"researchers":[102,141],"in":[103,109,181],"area":[105],"modeling":[108],"turn":[110],"improve":[112,149],"models.":[114,154],"paper,":[117],"we":[118],"introduce":[119],"DropoutSeer,":[120],"visual":[122],"analytics":[123],"system":[124],"which":[125,146],"not":[126],"only":[127],"helps":[128],"instructors":[129],"education":[131],"experts":[132],"but":[138],"also":[139],"allows":[140],"identify":[143],"features":[145],"performance":[151],"Both":[155],"heterogeneous":[157],"data":[158],"extracted":[159],"from":[160],"three":[161],"different":[162],"kinds":[163],"logs":[167],"(i.e.,":[168],"clickstream,":[169],"forum":[170],"posts":[171],"assignment":[173],"records)":[174],"are":[179],"visualized":[180],"proposed":[183],"system.":[184],"Case":[185],"studies":[186],"expert":[188],"interviews":[189],"conducted":[192],"demonstrate":[194],"usefulness":[196],"effectiveness":[198],"DropoutSeer.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
