{"id":"https://openalex.org/W4396758684","doi":"https://doi.org/10.1145/3589334.3645373","title":"Interpretable Knowledge Tracing with Multiscale State Representation","display_name":"Interpretable Knowledge Tracing with Multiscale State Representation","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396758684","doi":"https://doi.org/10.1145/3589334.3645373"},"language":"en","primary_location":{"id":"doi:10.1145/3589334.3645373","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058426743","display_name":"Jianwen Sun","orcid":"https://orcid.org/0000-0002-0951-1072"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwen Sun","raw_affiliation_strings":["Central China Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089230282","display_name":"Fenghua Yu","orcid":"https://orcid.org/0009-0002-1488-265X"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fenghua Yu","raw_affiliation_strings":["Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0002-1488-265X","affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021623912","display_name":"Qian Wan","orcid":"https://orcid.org/0000-0003-4504-3912"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Wan","raw_affiliation_strings":["Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4504-3912","affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088913484","display_name":"Qing Li","orcid":"https://orcid.org/0000-0002-6168-8430"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6168-8430","affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065669497","display_name":"Sannyuya Liu","orcid":"https://orcid.org/0000-0002-4926-3720"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sannyuya Liu","raw_affiliation_strings":["Central China Normal University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4926-3720","affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074111945","display_name":"Xiaoxuan Shen","orcid":"https://orcid.org/0000-0002-6663-5821"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxuan Shen","raw_affiliation_strings":["Central China Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":null,"apc_paid":null,"fwci":10.9836,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.98977575,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3265","last_page":"3276"},"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":0.9991999864578247,"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":0.9991999864578247,"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":0.9940000176429749,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9915000200271606,"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/computer-science","display_name":"Computer science","score":0.693035900592804},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.6614905595779419},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5548473596572876},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.48672226071357727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42467060685157776},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3399883210659027},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18266233801841736},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14672666788101196}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693035900592804},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.6614905595779419},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5548473596572876},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.48672226071357727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42467060685157776},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3399883210659027},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18266233801841736},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14672666788101196},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589334.3645373","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6098126563","display_name":null,"funder_award_id":"62293554, 62307015","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2066816090","https://openalex.org/W2559094423","https://openalex.org/W2788574423","https://openalex.org/W2805035427","https://openalex.org/W2913933519","https://openalex.org/W2916628745","https://openalex.org/W2953577593","https://openalex.org/W2980472839","https://openalex.org/W2997882704","https://openalex.org/W3035442578","https://openalex.org/W3040479400","https://openalex.org/W3043431195","https://openalex.org/W3043869244","https://openalex.org/W3046782012","https://openalex.org/W3128513560","https://openalex.org/W3171435422","https://openalex.org/W3197400233","https://openalex.org/W3205662613","https://openalex.org/W4210707990","https://openalex.org/W4224316526","https://openalex.org/W4225753930","https://openalex.org/W4284683483","https://openalex.org/W4284711352","https://openalex.org/W4287888414","https://openalex.org/W4295788921","https://openalex.org/W4307561542","https://openalex.org/W4309835971","https://openalex.org/W4313398922","https://openalex.org/W4321012315","https://openalex.org/W4360982002","https://openalex.org/W4367046760","https://openalex.org/W4367047438","https://openalex.org/W4382318135","https://openalex.org/W4383890464","https://openalex.org/W4384887456","https://openalex.org/W4385568296","https://openalex.org/W4387967901","https://openalex.org/W6600553734","https://openalex.org/W6600617465","https://openalex.org/W6778556382"],"related_works":["https://openalex.org/W2888673113","https://openalex.org/W2056065966","https://openalex.org/W2352602608","https://openalex.org/W2062641654","https://openalex.org/W2212288070","https://openalex.org/W3149975758","https://openalex.org/W1517786189","https://openalex.org/W3213987435","https://openalex.org/W3023262859","https://openalex.org/W2367675495"],"abstract_inverted_index":{"Knowledge":[0,83],"Tracing":[1,84],"(KT)":[2],"is":[3,124],"vital":[4],"for":[5],"education,":[6],"continuously":[7],"monitoring":[8],"students'":[9,53,89,100],"knowledge":[10,54,90,102,112],"states":[11,91],"(mastery":[12],"of":[13,52,131,212],"knowledge)":[14],"as":[15],"they":[16],"interact":[17],"with":[18,154,168],"online":[19],"education":[20],"materials.":[21],"Despite":[22],"significant":[23],"advancements":[24],"in":[25,39,72],"deep":[26],"learning-based":[27],"KT":[28,171,214],"models,":[29],"existing":[30],"approaches":[31],"often":[32],"struggle":[33],"to":[34,42,98,108,126,146,161],"strike":[35],"the":[36,115,128,142,210],"right":[37],"balance":[38],"granularity,":[40],"leading":[41],"either":[43],"overly":[44],"coarse":[45],"or":[46],"excessively":[47],"fine":[48],"tracing":[49],"and":[50,104],"representation":[51,97,107,144,200],"states,":[55],"thereby":[56],"limiting":[57],"their":[58,110],"performance.":[59,138],"Additionally,":[60,139],"achieving":[61],"a":[62,69,77,95,105],"high-performing":[63],"model":[64],"while":[65,186],"ensuring":[66],"interpretability":[67,135],"presents":[68],"challenge.":[70],"Therefore,":[71],"this":[73],"paper,":[74],"we":[75,140],"propose":[76],"novel":[78],"approach":[79],"called":[80],"Multiscale-state-based":[81],"Interpretable":[82],"(MIKT).":[85],"Specifically,":[86],"MIKT":[87,167,182,205],"traces":[88],"on":[92,173],"two":[93],"scales:":[94],"coarse-grained":[96],"trace":[99],"domain":[101],"state,":[103],"fine-grained":[106],"monitor":[109],"conceptual":[111],"state.":[113],"Furthermore,":[114],"classical":[116],"psychological":[117],"measurement":[118],"model,":[119],"IRT":[120],"(Item":[121],"Response":[122],"Theory),":[123],"introduced":[125],"explain":[127],"prediction":[129],"process":[130],"MIKT,":[132],"enhancing":[133],"its":[134,188],"without":[136],"sacrificing":[137],"extended":[141,198],"Rasch":[143,199],"method":[145,201],"effectively":[147],"handle":[148],"scenarios":[149],"where":[150],"questions":[151],"are":[152],"associated":[153],"multiple":[155],"concepts,":[156],"making":[157],"it":[158],"more":[159],"applicable":[160],"real-world":[162],"situations.":[163],"We":[164],"extensively":[165],"compared":[166],"20":[169],"state-of-the-art":[170],"models":[172,185],"four":[174],"widely-used":[175],"public":[176],"datasets.":[177],"Experimental":[178],"results":[179],"demonstrate":[180],"that":[181,195],"outperforms":[183],"other":[184,213],"maintaining":[187],"interpretability.":[189],"Moreover,":[190],"experimental":[191],"observations":[192],"have":[193],"revealed":[194],"our":[196],"proposed":[197],"not":[202],"only":[203],"benefits":[204],"but":[206],"also":[207],"significantly":[208],"improves":[209],"performance":[211],"baseline":[215],"models.":[216],"The":[217],"code":[218],"can":[219],"be":[220],"found":[221],"at":[222],"https://github.com/lilstrawberry/MIKT.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}