{"id":"https://openalex.org/W2981458089","doi":"https://doi.org/10.1145/3343031.3351059","title":"Understanding the Teaching Styles by an Attention based Multi-task Cross-media Dimensional Modeling","display_name":"Understanding the Teaching Styles by an Attention based Multi-task Cross-media Dimensional Modeling","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981458089","doi":"https://doi.org/10.1145/3343031.3351059","mag":"2981458089"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3351059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.07253","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Suping Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suping Zhou","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jia Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Jia","raw_affiliation_strings":["Tsinghua University & Beijing National Research Center for Information Science and Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University & Beijing National Research Center for Information Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yufeng Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Yin","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yao","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ying Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zeyang Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyang Ye","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kehua Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kehua Lei","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yan Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan Huang","raw_affiliation_strings":["TAL Education Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TAL Education Group, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Jialie Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jialie Shen","raw_affiliation_strings":["Queen's University of Belfast, Belfast, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen's University of Belfast, Belfast, United Kingdom","institution_ids":["https://openalex.org/I126231945"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9007,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77256541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1322","last_page":"1330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11820","display_name":"Learning Styles and Cognitive Differences","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11820","display_name":"Learning Styles and Cognitive Differences","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9171000123023987,"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/set","display_name":"Set (abstract data type)","score":0.5447999835014343},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.5378000140190125},{"id":"https://openalex.org/keywords/learning-styles","display_name":"Learning styles","score":0.5034999847412109},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4837999939918518},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4805999994277954},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4603999853134155},{"id":"https://openalex.org/keywords/teaching-method","display_name":"Teaching method","score":0.4449999928474426},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40459999442100525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6277999877929688},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5447999835014343},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.5378000140190125},{"id":"https://openalex.org/C2781285556","wikidata":"https://www.wikidata.org/wiki/Q1820370","display_name":"Learning styles","level":2,"score":0.5034999847412109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.499099999666214},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4837999939918518},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4805999994277954},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4603999853134155},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.4449999928474426},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40459999442100525},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.3986999988555908},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C150681269","wikidata":"https://www.wikidata.org/wiki/Q2380771","display_name":"Cognitive style","level":3,"score":0.34470000863075256},{"id":"https://openalex.org/C143008350","wikidata":"https://www.wikidata.org/wiki/Q3432172","display_name":"Dimensional modeling","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.32760000228881836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31049999594688416},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2757999897003174},{"id":"https://openalex.org/C2986420190","wikidata":"https://www.wikidata.org/wiki/Q39045939","display_name":"Semantic space","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26019999384880066}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3343031.3351059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1911.07253","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.07253","pdf_url":"https://arxiv.org/pdf/1911.07253","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:pure.qub.ac.uk/portal:publications/b76ae042-3f07-44ff-be6c-1db0f80c8067","is_oa":false,"landing_page_url":"https://pure.qub.ac.uk/en/publications/b76ae042-3f07-44ff-be6c-1db0f80c8067","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhou, S, Li, X, Ye, Z, Jia, J J, Yao, Y, Lei, K, Shen, J, Yin, Y, Zhang, Y & Huang, Y 2019, Understanding the Teaching Styles by an Attention based Multi-task Cross-media Dimensional Modeling. in MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia. MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia, Association for Computing Machinery, pp. 1322-1330, 27th ACM International Conference on Multimedia, MM 2019, Nice, France, 21/10/2019. https://doi.org/10.1145/3343031.3351059","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.07253","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.07253","pdf_url":"https://arxiv.org/pdf/1911.07253","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1878286144","https://openalex.org/W2010576059","https://openalex.org/W2043181832","https://openalex.org/W2056280078","https://openalex.org/W2066768226","https://openalex.org/W2085662862","https://openalex.org/W2143588745","https://openalex.org/W2400814905","https://openalex.org/W2604409433","https://openalex.org/W2765291577","https://openalex.org/W2788776247","https://openalex.org/W2883853499","https://openalex.org/W4231109964","https://openalex.org/W4301204483"],"related_works":[],"abstract_inverted_index":{"Teaching":[0,86],"style":[1],"plays":[2],"an":[3,79],"influential":[4],"role":[5],"in":[6,163],"helping":[7],"students":[8],"to":[9,32,45,99,122],"achieve":[10],"academic":[11],"success.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16,28,140],"explore":[17],"a":[18,82,107,143],"new":[19],"problem":[20],"of":[21,165,180],"effectively":[22],"understanding":[23],"teachers'":[24,36],"teaching":[25,37,52,65,101,151,196,210],"styles.":[26,66],"Specifically,":[27],"study":[29],"1)":[30],"how":[31,44],"quantitatively":[33,103],"characterize":[34],"various":[35,40],"styles":[38,102,197],"for":[39,209],"teachers":[41,201],"and":[42,58,64,104,124,133,184,202,204],"2)":[43],"model":[46],"the":[47,68,95,127,137,158,166,178,181,206],"subtle":[48],"relationship":[49],"between":[50,130],"cross-media":[51,131],"related":[53],"data":[54,145],"(speech,":[55],"facial":[56],"expressions":[57],"body":[59],"motions,":[60],"content":[61],"et":[62],"al.)":[63],"Using":[67],"adjectives":[69],"selected":[70],"from":[71],"more":[72],"than":[73],"10,000":[74],"feedback":[75],"questionnaires":[76],"provided":[77],"by":[78],"educational":[80],"enterprise,":[81],"novel":[83],"concept":[84],"called":[85],"Style":[87],"Semantic":[88],"Space":[89],"(TSSS)":[90],"is":[91,120],"developed":[92],"based":[93,111],"on":[94,136,171],"pleasure-arousal":[96],"dimensional":[97],"theory":[98],"describe":[100],"comprehensively.":[105],"Then":[106],"multi-task":[108],"deep":[109],"learning":[110],"model,":[112,186],"Attention-based":[113],"Multi-path":[114],"Multi-task":[115],"Deep":[116],"Neural":[117],"Network":[118],"(AMMDNN),":[119],"proposed":[121,159,182,207],"accurately":[123],"robustly":[125],"capture":[126],"internal":[128],"correlations":[129],"features":[132],"TSSS.":[134],"Based":[135],"benchmark":[138],"dataset,":[139],"further":[141,176],"develop":[142],"comprehensive":[144],"set":[146],"including":[147],"4,541":[148],"full-annotated":[149],"cross-modality":[150],"classes.":[152],"Our":[153],"experimental":[154],"results":[155],"demonstrate":[156,177],"that":[157],"AMMDNN":[160],"outperforms":[161],"(+0.0842%":[162],"terms":[164],"concordance":[167],"correlation":[168],"coefficient":[169],"(CCC)":[170],"average)":[172],"baseline":[173],"methods.":[174],"To":[175],"advantages":[179],"TSSS":[183],"our":[185],"several":[187],"interesting":[188],"case":[189],"studies":[190],"are":[191],"carried":[192],"out,":[193],"such":[194],"as":[195],"comparison":[198],"among":[199],"different":[200],"courses,":[203],"leveraging":[205],"method":[208],"quality":[211],"analysis.":[212]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2019-11-01T00:00:00"}