{"id":"https://openalex.org/W7160898181","doi":"https://doi.org/10.48550/arxiv.2605.08697","title":"MBP-KT: Learning Global Collaborative Information from Meta-Behavioral Pattern for Enhanced Knowledge Tracing","display_name":"MBP-KT: Learning Global Collaborative Information from Meta-Behavioral Pattern for Enhanced Knowledge Tracing","publication_year":2026,"publication_date":"2026-05-09","ids":{"openalex":"https://openalex.org/W7160898181","doi":"https://doi.org/10.48550/arxiv.2605.08697"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.08697","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08697","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.08697","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135973023","display_name":"Yuhao Jia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia, Yuhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086548631","display_name":"Duantengchuan Li","orcid":"https://orcid.org/0000-0003-2902-7365"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Duantengchuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665833","display_name":"Jinsong Chen","orcid":"https://orcid.org/0000-0002-0157-5469"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Jinsong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135948699","display_name":"Zhongjie Mao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mao, Zhongjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078791358","display_name":"Mingwen Tong","orcid":"https://orcid.org/0000-0002-9524-7983"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tong, Mingwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135954295","display_name":"Yue Li","orcid":"https://orcid.org/0009-0001-2655-7697"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135986258","display_name":"Xiaoguang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xiaoguang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.8707000017166138,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.8707000017166138,"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/T10636","display_name":"Innovative Teaching and Learning Methods","score":0.05649999901652336,"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":0.007499999832361937,"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/collaborative-learning","display_name":"Collaborative learning","score":0.6352999806404114},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.5755000114440918},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.3910999894142151},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.3400000035762787},{"id":"https://openalex.org/keywords/collaborative-software","display_name":"Collaborative software","score":0.33329999446868896},{"id":"https://openalex.org/keywords/universality","display_name":"Universality (dynamical systems)","score":0.3043000102043152}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6980000138282776},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.6352999806404114},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.5755000114440918},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3758000135421753},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3596000075340271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35510000586509705},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C554579003","wikidata":"https://www.wikidata.org/wiki/Q474157","display_name":"Collaborative software","level":2,"score":0.33329999446868896},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3059999942779541},{"id":"https://openalex.org/C183992945","wikidata":"https://www.wikidata.org/wiki/Q2495574","display_name":"Universality (dynamical systems)","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C2775966667","wikidata":"https://www.wikidata.org/wiki/Q6423384","display_name":"Knowledge modeling","level":3,"score":0.26669999957084656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.08697","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08697","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.08697","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08697","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,19],"emerging":[1],"collaborative":[2,26,126,144,156],"information-based":[3],"knowledge":[4,17],"tracing":[5],"(KT)":[6],"has":[7],"been":[8],"a":[9,74,85,119,172],"promising":[10],"way":[11],"to":[12,23,34,90,122,139],"enhance":[13],"modeling":[14],"of":[15,31,99,110,154,171,175],"learners'":[16],"states.":[18],"core":[20],"idea":[21],"is":[22],"extract":[24,123],"the":[25,36,39,49,92,97,106,124,129,141,152,155,169],"information":[27,145],"from":[28,128],"interaction":[29,51,94],"sequences":[30,52,95],"other":[32],"learners":[33,111],"assist":[35],"prediction":[37],"on":[38,48,160],"target":[40],"one.":[41],"Despite":[42],"effectiveness,":[43],"existing":[44],"methods":[45],"are":[46],"built":[47],"raw":[50,93],"with":[53],"tailored":[54],"modules,":[55],"which":[56],"inevitably":[57],"limits":[58],"their":[59],"capacity":[60],"in":[61],"deeply":[62],"capturing":[63],"learning":[64,107],"behavioral":[65,108],"patterns":[66,109],"and":[67],"generalization.":[68],"To":[69],"this":[70,104],"end,":[71],"we":[72],"propose":[73],"general":[75,136],"meta-behavioral":[76,87,101,131],"pattern-aware":[77],"framework":[78],"(MBP-KT)":[79],"for":[80],"KT.":[81],"Specifically,":[82],"MBP-KT":[83,117,134,165],"introduces":[84],"novel":[86],"sequence":[88],"construction":[89],"transform":[91],"into":[96,146],"combinations":[98],"different":[100],"patterns.":[102],"In":[103],"way,":[105],"can":[112,166],"be":[113],"effectively":[114],"preserved.":[115],"Then,":[116],"develops":[118],"parameter-free":[120],"module":[121],"global":[125,143],"representations":[127],"constructed":[130],"sequences.":[132],"Moreover,":[133],"provides":[135],"injection":[137],"strategies":[138],"introduce":[140],"extracted":[142],"various":[147],"downstream":[148],"KT":[149,176],"models,":[150],"ensuring":[151],"universality":[153],"information.":[157],"Extensive":[158],"results":[159],"real-world":[161],"datasets":[162],"demonstrate":[163],"that":[164],"consistently":[167],"boosts":[168],"performance":[170],"wide":[173],"range":[174],"models.":[177]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-13T00:00:00"}