{"id":"https://openalex.org/W7138145909","doi":"https://doi.org/10.1609/aaai.v40i17.38494","title":"Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space","display_name":"Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138145909","doi":"https://doi.org/10.1609/aaai.v40i17.38494"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i17.38494","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38494","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38494/42456","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38494/42456","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xingcheng Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingcheng Fu","raw_affiliation_strings":["Guangxi Normal University"],"affiliations":[{"raw_affiliation_string":"Guangxi Normal University","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shengpeng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengpeng Wang","raw_affiliation_strings":["Guangxi Normal University"],"affiliations":[{"raw_affiliation_string":"Guangxi Normal University","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yisen Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yisen Gao","raw_affiliation_strings":["Hong Kong University of Science and Technology\nGuangxi Normal University"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology\nGuangxi Normal University","institution_ids":["https://openalex.org/I29739308","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xianxian Li","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianxian Li","raw_affiliation_strings":["Guangxi Normal University"],"affiliations":[{"raw_affiliation_string":"Guangxi Normal University","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chunpei Li","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunpei Li","raw_affiliation_strings":["Guangxi Normal University"],"affiliations":[{"raw_affiliation_string":"Guangxi Normal University","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qingyun Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyun Sun","raw_affiliation_strings":["Guangxi Normal University\nBeihang University"],"affiliations":[{"raw_affiliation_string":"Guangxi Normal University\nBeihang University","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dongran Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongran Yu","raw_affiliation_strings":["Guangxi Normal University"],"affiliations":[{"raw_affiliation_string":"Guangxi Normal University","institution_ids":["https://openalex.org/I29739308"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I29739308"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36494406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"17","first_page":"14747","last_page":"14755"},"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":0.9296000003814697,"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":0.9296000003814697,"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/T10028","display_name":"Topic Modeling","score":0.013100000098347664,"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":0.0066999997943639755,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5748999714851379},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.5612000226974487},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4810999929904938},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.47940000891685486},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45570001006126404},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4422000050544739},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.3937000036239624},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.367900013923645},{"id":"https://openalex.org/keywords/hyperbolic-space","display_name":"Hyperbolic space","score":0.3440000116825104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6542999744415283},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5748999714851379},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.5612000226974487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5408999919891357},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4810999929904938},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.47940000891685486},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45570001006126404},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4422000050544739},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3937000036239624},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35839998722076416},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.351500004529953},{"id":"https://openalex.org/C83677898","wikidata":"https://www.wikidata.org/wiki/Q1878538","display_name":"Hyperbolic space","level":2,"score":0.3440000116825104},{"id":"https://openalex.org/C56814567","wikidata":"https://www.wikidata.org/wiki/Q1323686","display_name":"Explicit knowledge","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31859999895095825},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C48164120","wikidata":"https://www.wikidata.org/wiki/Q4491893","display_name":"Concept learning","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C97654310","wikidata":"https://www.wikidata.org/wiki/Q574023","display_name":"Hyperbolic tree","level":4,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i17.38494","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38494","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38494/42456","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i17.38494","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38494","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38494/42456","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8754780292510986,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325559","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138145909.pdf","grobid_xml":"https://content.openalex.org/works/W7138145909.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Knowledge":[0,74,174],"Tracing":[1,175],"(KT)":[2],"diagnoses":[3],"students\u2019":[4],"concept":[5],"mas-":[6],"tery":[7],"through":[8],"continuous":[9],"learning":[10,96,104,148],"state":[11],"monitoring":[12],"in":[13,112,119,147],"education.":[14],"Existing":[15],"methods":[16,31],"primarily":[17],"focus":[18],"on":[19,24,33,159],"studying":[20],"behavioral":[21],"sequences":[22,35],"based":[23],"ID":[25],"or":[26,36],"textual":[27,38],"information.":[28],"While":[29],"existing":[30],"rely":[32],"ID-based":[34],"shallow":[37],"features,":[39],"they":[40],"often":[41],"fail":[42],"to":[43,60,98,115],"capture":[44],"(1)":[45],"the":[46,77,92,137,165],"hierarchical":[47,87,139],"evolution":[48],"of":[49,89,141,167],"cognitive":[50],"states":[51],"and":[52,84,109,126],"(2)":[53],"individualized":[54],"prob-":[55],"lem":[56],"difficulty":[57,125],"perception":[58],"due":[59],"limited":[61],"semantic":[62],"modeling.":[63],"Therefore,":[64],"this":[65],"paper":[66],"proposes":[67],"a":[68],"Large":[69,169],"Language":[70,170],"Model":[71,171],"Hyperbolic":[72,172],"Aligned":[73,173],"Tracing(L-HAKT).":[75],"First,":[76],"teacher":[78],"agent":[79,94],"deeply":[80],"parses":[81],"question":[82,124],"semantics":[83],"explicitly":[85,135],"constructs":[86],"dependencies":[88],"knowledge":[90,142,152],"points;":[91],"student":[93],"simulates":[95],"behaviors":[97],"generate":[99],"synthetic":[100,108],"data.":[101],"Then,":[102],"contrastive":[103],"is":[105],"performed":[106],"between":[107],"real":[110],"data":[111],"hyperbolic":[113,132],"space":[114],"reduce":[116],"distribution":[117],"differences":[118,146],"key":[120],"features":[121],"such":[122],"as":[123],"forgetting":[127],"patterns.":[128],"Finally,":[129],"by":[130],"optimizing":[131],"curvature,":[133],"we":[134],"model":[136],"tree-like":[138],"structure":[140],"points,":[143],"precisely":[144],"characterizing":[145],"curve":[149],"morphology":[150],"for":[151],"points":[153],"at":[154],"different":[155],"levels.":[156],"Extensive":[157],"experiments":[158],"four":[160],"real-world":[161],"educational":[162],"datasets":[163],"validate":[164],"effectiveness":[166],"our":[168],"(L-HAKT)":[176],"framework.":[177]},"counts_by_year":[],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2026-03-02T00:00:00"}
