{"id":"https://openalex.org/W3137620631","doi":"https://doi.org/10.1145/3458023","title":"Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks","display_name":"Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks","publication_year":2021,"publication_date":"2021-07-20","ids":{"openalex":"https://openalex.org/W3137620631","doi":"https://doi.org/10.1145/3458023","mag":"3137620631"},"language":"en","primary_location":{"id":"doi:10.1145/3458023","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458023","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.13565","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Haobing Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haobing Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yanmin Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanmin Zhu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tianzi Zang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzi Zang","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yanan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Xu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiadi Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiadi Yu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":null,"display_name":"Feilong Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feilong Tang","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.7039,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86328613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"16","issue":"1","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.6833999752998352,"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":0.6833999752998352,"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":0.17870000004768372,"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/T12488","display_name":"Mental Health via Writing","score":0.009600000455975533,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6527000069618225},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.57669997215271},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5766000151634216},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.49079999327659607},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.45899999141693115},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4350000023841858},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4077000021934509},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.3652999997138977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8180000185966492},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6527000069618225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.628000020980835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5813999772071838},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.57669997215271},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5766000151634216},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.49079999327659607},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.45899999141693115},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4350000023841858},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4077000021934509},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3652999997138977},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3555000126361847},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.3260999917984009},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C2779714256","wikidata":"https://www.wikidata.org/wiki/Q25305062","display_name":"Multiple Models","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3458023","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458023","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2103.13565","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.13565","pdf_url":"https://arxiv.org/pdf/2103.13565","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.13565","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.13565","pdf_url":"https://arxiv.org/pdf/2103.13565","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":[{"id":"https://openalex.org/G562939770","display_name":null,"funder_award_id":"62072304, 61772341, 61472254, and 61770238","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6808439292","display_name":null,"funder_award_id":"18511103002, 19510760500, and 19511101500","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1531333757","https://openalex.org/W1677182931","https://openalex.org/W1966165526","https://openalex.org/W1990911561","https://openalex.org/W2022466128","https://openalex.org/W2049829621","https://openalex.org/W2064675550","https://openalex.org/W2066816090","https://openalex.org/W2078282132","https://openalex.org/W2116426155","https://openalex.org/W2117130368","https://openalex.org/W2155296977","https://openalex.org/W2206224721","https://openalex.org/W2216125271","https://openalex.org/W2245966788","https://openalex.org/W2255539840","https://openalex.org/W2290063373","https://openalex.org/W2546314413","https://openalex.org/W2603652808","https://openalex.org/W2783203430","https://openalex.org/W2791508240","https://openalex.org/W2803316440","https://openalex.org/W2903777941","https://openalex.org/W2912850006","https://openalex.org/W2913340405","https://openalex.org/W2963377935","https://openalex.org/W2978212102","https://openalex.org/W3004827789","https://openalex.org/W3040010078","https://openalex.org/W3088011634"],"related_works":[],"abstract_inverted_index":{"Prediction":[0],"tasks":[1,88,200,218],"about":[2,15],"students":[3,16],"have":[4,100,219],"practical":[5],"significance":[6],"for":[7,95,149],"both":[8],"student":[9,30,38,48,129],"and":[10,80,91,117,211],"college.":[11,209],"Making":[12],"multiple":[13,82,167,192],"predictions":[14,83],"is":[17,124],"an":[18],"important":[19],"part":[20],"of":[21,56,112,146,180,223],"a":[22,29,96,110,118,172,203,208],"smart":[23],"campus.":[24],"For":[25],"instance,":[26],"predicting":[27],"whether":[28],"will":[31],"fail":[32],"to":[33,41,45,126,163],"graduate":[34],"can":[35,62,140,157,185],"alert":[36],"the":[37,47,54,93,101,128,178,181,188,215,221],"affairs":[39],"office":[40],"take":[42],"predictive":[43],"measures":[44],"help":[46,179],"improve":[49],"his/her":[50],"academic":[51],"performance.":[52],"With":[53,177],"development":[55],"information":[57],"technology":[58],"in":[59],"colleges,":[60],"we":[61,74,108,170,184],"collect":[63],"digital":[64],"footprints":[65],"that":[66],"encode":[67],"heterogeneous":[68,78,133,155],"behaviors":[69,79,156],"continuously.":[70],"In":[71,152,161],"this":[72,106,153],"article,":[73],"focus":[75],"on":[76,202,214],"modeling":[77],"making":[81],"together,":[84],"since":[85],"some":[86],"prediction":[87,168,199,217],"are":[89],"related":[90],"learning":[92],"model":[94,164],"specific":[97],"task":[98],"may":[99],"data":[102],"sparsity":[103],"problem.":[104],"To":[105],"end,":[107],"propose":[109,171],"variant":[111],"Long-Short":[113],"Term":[114],"Memory":[115],"(LSTM)":[116],"soft-attention":[119,138],"mechanism.":[120],"The":[121,136],"proposed":[122,137],"LSTM":[123],"able":[125],"learn":[127,142],"profile-aware":[130],"representation":[131],"from":[132,207],"behavior":[134,198],"sequences.":[135],"mechanism":[139,174],"dynamically":[141],"different":[143,147],"importance":[144],"degrees":[145],"days":[148],"every":[150],"student.":[151],"way,":[154],"be":[158],"well":[159],"modeled.":[160],"order":[162],"interactions":[165],"among":[166,191],"tasks,":[169],"co-attention":[173],"based":[175,201],"unit.":[176],"stacked":[182],"units,":[183],"explicitly":[186],"control":[187],"knowledge":[189],"transfer":[190],"tasks.":[193],"We":[194],"design":[195],"three":[196,216],"motivating":[197],"real-world":[204],"dataset":[205],"collected":[206],"Qualitative":[210],"quantitative":[212],"experiments":[213],"demonstrated":[220],"effectiveness":[222],"our":[224],"model.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2021-03-29T00:00:00"}