{"id":"https://openalex.org/W3127845796","doi":"https://doi.org/10.1145/3449086","title":"Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websites","display_name":"Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websites","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3127845796","doi":"https://doi.org/10.1145/3449086","mag":"3127845796"},"language":"en","primary_location":{"id":"doi:10.1145/3449086","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449086","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2102.00423","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Reza Hadi Mogavi","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":"Reza Hadi Mogavi","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaojuan Ma","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":"Xiaojuan Ma","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":null,"display_name":"Pan Hui","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":"Pan Hui","raw_affiliation_strings":["Hong Kong University of Science and Technology &amp; University of Helsinki, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology &amp; University of Helsinki, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":3.7091,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.93185193,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"5","issue":"CSCW1","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.35040000081062317,"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":0.35040000081062317,"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/T10533","display_name":"Teaching and Learning Programming","score":0.16359999775886536,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.04659999907016754,"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/dropout","display_name":"Dropout (neural networks)","score":0.6880000233650208},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5462999939918518},{"id":"https://openalex.org/keywords/student-engagement","display_name":"Student engagement","score":0.5175999999046326},{"id":"https://openalex.org/keywords/drop-out","display_name":"Drop out","score":0.506600022315979},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.424699991941452},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4065000116825104}],"concepts":[{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.6880000233650208},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5462999939918518},{"id":"https://openalex.org/C194519906","wikidata":"https://www.wikidata.org/wiki/Q7627827","display_name":"Student engagement","level":2,"score":0.5175999999046326},{"id":"https://openalex.org/C2984949393","wikidata":"https://www.wikidata.org/wiki/Q1260241","display_name":"Drop out","level":2,"score":0.506600022315979},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5058000087738037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43549999594688416},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.4284999966621399},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.424699991941452},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4065000116825104},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3395000100135803},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.319599986076355},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C158592959","wikidata":"https://www.wikidata.org/wiki/Q869010","display_name":"Blended learning","level":3,"score":0.2985999882221222},{"id":"https://openalex.org/C10431821","wikidata":"https://www.wikidata.org/wiki/Q6510174","display_name":"Learning effect","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2736000120639801}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3449086","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449086","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2102.00423","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.00423","pdf_url":"https://arxiv.org/pdf/2102.00423","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-109737","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-109737","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":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-109737","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-109737","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":"Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2102.00423","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.00423","pdf_url":"https://arxiv.org/pdf/2102.00423","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":103,"referenced_works":["https://openalex.org/W31519675","https://openalex.org/W75490693","https://openalex.org/W638278577","https://openalex.org/W951542008","https://openalex.org/W1967506110","https://openalex.org/W1979214803","https://openalex.org/W2008064904","https://openalex.org/W2012152041","https://openalex.org/W2013899939","https://openalex.org/W2017204136","https://openalex.org/W2018206893","https://openalex.org/W2045508082","https://openalex.org/W2060045074","https://openalex.org/W2067180153","https://openalex.org/W2070256219","https://openalex.org/W2072225709","https://openalex.org/W2074724594","https://openalex.org/W2074780813","https://openalex.org/W2075452527","https://openalex.org/W2086699924","https://openalex.org/W2093680229","https://openalex.org/W2094227722","https://openalex.org/W2109901510","https://openalex.org/W2110635790","https://openalex.org/W2115486496","https://openalex.org/W2124689820","https://openalex.org/W2126705648","https://openalex.org/W2148527862","https://openalex.org/W2166928246","https://openalex.org/W2169570446","https://openalex.org/W2196633743","https://openalex.org/W2273136441","https://openalex.org/W2293058841","https://openalex.org/W2293634932","https://openalex.org/W2294595105","https://openalex.org/W2295598076","https://openalex.org/W2462985838","https://openalex.org/W2514077680","https://openalex.org/W2514832122","https://openalex.org/W2520284652","https://openalex.org/W2530695086","https://openalex.org/W2531895040","https://openalex.org/W2549265357","https://openalex.org/W2584256333","https://openalex.org/W2588334501","https://openalex.org/W2588473639","https://openalex.org/W2588552579","https://openalex.org/W2588888090","https://openalex.org/W2589406137","https://openalex.org/W2602387228","https://openalex.org/W2607294868","https://openalex.org/W2607519433","https://openalex.org/W2610765084","https://openalex.org/W2612657834","https://openalex.org/W2613104770","https://openalex.org/W2752162013","https://openalex.org/W2754427584","https://openalex.org/W2767123881","https://openalex.org/W2768064153","https://openalex.org/W2768744498","https://openalex.org/W2775120741","https://openalex.org/W2777647957","https://openalex.org/W2783326200","https://openalex.org/W2791021147","https://openalex.org/W2798530805","https://openalex.org/W2801391126","https://openalex.org/W2808791821","https://openalex.org/W2809496930","https://openalex.org/W2898701156","https://openalex.org/W2899317835","https://openalex.org/W2902673036","https://openalex.org/W2911964244","https://openalex.org/W2913615284","https://openalex.org/W2914406776","https://openalex.org/W2916604986","https://openalex.org/W2919658455","https://openalex.org/W2940983426","https://openalex.org/W2941040799","https://openalex.org/W2941265295","https://openalex.org/W2941665215","https://openalex.org/W2942367762","https://openalex.org/W2942444880","https://openalex.org/W2943268290","https://openalex.org/W2943830510","https://openalex.org/W2950250582","https://openalex.org/W2952297987","https://openalex.org/W2959645282","https://openalex.org/W2964165509","https://openalex.org/W2969549647","https://openalex.org/W2972659741","https://openalex.org/W2972813868","https://openalex.org/W2983983242","https://openalex.org/W2984658475","https://openalex.org/W2986650912","https://openalex.org/W3012289806","https://openalex.org/W3029110002","https://openalex.org/W3029721600","https://openalex.org/W3030139601","https://openalex.org/W3030400939","https://openalex.org/W3031254220","https://openalex.org/W3032407425","https://openalex.org/W3032615844","https://openalex.org/W3046641694"],"related_works":[],"abstract_inverted_index":{"Problem-Based":[0],"Learning":[1],"(PBL)":[2],"is":[3,64],"a":[4,82,138,157],"popular":[5,158],"approach":[6],"to":[7,12,40,48,68,194,201],"instruction":[8],"that":[9,46,105,167],"supports":[10],"students":[11,51,106],"get":[13],"hands-on":[14],"training":[15],"by":[16,33,136,189],"solving":[17],"problems.":[18],"Question":[19],"Pool":[20],"websites":[21],"(QPs)":[22],"such":[23],"as":[24],"LeetCode,":[25],"Code":[26],"Chef,":[27],"and":[28,37,70,101,117,182,197],"Math":[29],"Playground":[30],"help":[31],"PBL":[32],"supplying":[34],"authentic,":[35],"diverse,":[36],"contextualized":[38],"questions":[39,112],"students.":[41],"Nonetheless,":[42],"empirical":[43],"findings":[44],"suggest":[45],"40%":[47],"80%":[49],"of":[50,125,179],"registered":[52],"in":[53,57,113,151,160,177],"QPs":[54,75],"drop":[55],"out":[56,127],"less":[58],"than":[59],"two":[60],"months.":[61],"This":[62],"research":[63],"the":[65,171],"first":[66],"attempt":[67],"understand":[69],"predict":[71],"student":[72,149,204],"dropouts":[73,150],"from":[74,119],"via":[76],"exploiting":[77],"students'":[78],"engagement":[79,89,115],"moods.":[80],"Adopting":[81],"data-driven":[83],"approach,":[84],"we":[85],"identify":[86],"five":[87],"different":[88],"moods":[90],"for":[91,110,147],"QP":[92,159,195],"students,":[93,165],"which":[94],"are":[95],"namely":[96],"challenge-seeker,":[97],"subject-seeker,":[98],"interest-seeker,":[99],"joy-seeker,":[100],"non-seeker.":[102],"We":[103,184],"find":[104],"have":[107],"collective":[108],"preferences":[109,121],"answering":[111],"each":[114],"mood,":[116],"deviation":[118],"those":[120],"increases":[122],"their":[123,203],"probability":[124],"dropping":[126],"significantly.":[128],"Last":[129],"but":[130],"not":[131],"least,":[132],"this":[133],"paper":[134],"contributes":[135],"introducing":[137],"new":[139],"hybrid":[140],"machine":[141],"learning":[142,199],"model":[143],"(we":[144],"call":[145],"Dropout-Plus)":[146],"predicting":[148],"QPs.":[152],"The":[153],"test":[154],"results":[155],"on":[156],"China,":[161],"with":[162],"nearly":[163],"10K":[164],"show":[166],"Dropout-Plus":[168],"can":[169],"exceed":[170],"rival":[172],"algorithms'":[173],"dropout":[174],"prediction":[175],"performance":[176],"terms":[178],"accuracy,":[180],"F1-measure,":[181],"AUC.":[183],"wrap":[185],"up":[186],"our":[187],"work":[188],"giving":[190],"some":[191],"design":[192],"suggestions":[193],"managers":[196],"online":[198],"professionals":[200],"reduce":[202],"dropouts.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2021-02-15T00:00:00"}
