{"id":"https://openalex.org/W4385979163","doi":"https://doi.org/10.1145/3589340","title":"MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing","display_name":"MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing","publication_year":2023,"publication_date":"2023-08-18","ids":{"openalex":"https://openalex.org/W4385979163","doi":"https://doi.org/10.1145/3589340"},"language":"en","primary_location":{"id":"doi:10.1145/3589340","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589340","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589340","source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3589340","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000313344","display_name":"Liangliang He","orcid":"https://orcid.org/0000-0002-3554-912X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangliang He","raw_affiliation_strings":["College of Computer, National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-3554-912X","affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648909","display_name":"Xiao Li","orcid":"https://orcid.org/0000-0001-8613-4779"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Li","raw_affiliation_strings":["Information Center, National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-8613-4779","affiliations":[{"raw_affiliation_string":"Information Center, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002937390","display_name":"Pancheng Wang","orcid":"https://orcid.org/0000-0002-4450-8848"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pancheng Wang","raw_affiliation_strings":["College of Computer, National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-4450-8848","affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047593277","display_name":"Jintao Tang","orcid":"https://orcid.org/0000-0002-8802-3906"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jintao Tang","raw_affiliation_strings":["College of Computer, National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-8802-3906","affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020937767","display_name":"Ting Wang","orcid":"https://orcid.org/0000-0002-7780-2330"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Wang","raw_affiliation_strings":["College of Computer, National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-7780-2330","affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.8307,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8792126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"42","issue":"1","first_page":"1","last_page":"22"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11122","display_name":"Online Learning and Analytics","score":0.9940000176429749,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9768999814987183,"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":0.8561323881149292},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.642827570438385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6103454828262329},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.588452935218811},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.5637091398239136},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5272423624992371},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5112905502319336},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4466686546802521},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4162876605987549}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8561323881149292},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.642827570438385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6103454828262329},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.588452935218811},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.5637091398239136},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5272423624992371},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5112905502319336},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4466686546802521},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4162876605987549},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589340","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589340","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589340","source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3589340","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589340","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589340","source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G1757737338","display_name":null,"funder_award_id":"61702532","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385979163.pdf","grobid_xml":"https://content.openalex.org/works/W4385979163.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W123693119","https://openalex.org/W650350307","https://openalex.org/W1562092080","https://openalex.org/W1596401170","https://openalex.org/W2015040676","https://openalex.org/W2016589492","https://openalex.org/W2064675550","https://openalex.org/W2338445680","https://openalex.org/W2466877100","https://openalex.org/W2530887700","https://openalex.org/W2559094423","https://openalex.org/W2807940204","https://openalex.org/W2912906653","https://openalex.org/W2913933519","https://openalex.org/W2942265397","https://openalex.org/W2955931418","https://openalex.org/W2957747000","https://openalex.org/W2963260202","https://openalex.org/W2964195932","https://openalex.org/W3043869244","https://openalex.org/W3046782012","https://openalex.org/W3080913355","https://openalex.org/W3082341085","https://openalex.org/W3102281445","https://openalex.org/W3172373930","https://openalex.org/W3197400233","https://openalex.org/W4225394161","https://openalex.org/W4298154995","https://openalex.org/W4365799947","https://openalex.org/W4385245566","https://openalex.org/W6621483976","https://openalex.org/W6638318767","https://openalex.org/W6704546155","https://openalex.org/W6714264011","https://openalex.org/W6719728485","https://openalex.org/W6739901393","https://openalex.org/W6765830420","https://openalex.org/W6797615843"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W2964335273","https://openalex.org/W1889624880","https://openalex.org/W2229372569"],"abstract_inverted_index":{"Knowledge":[0],"Tracing":[1],"(KT)":[2],"is":[3,130],"the":[4,52,74,90,94,102,110,119,122,126,138,145,193],"task":[5],"of":[6,55,104,147,199,216],"modeling":[7],"a":[8,56,186],"learner\u2019s":[9,57,111],"knowledge":[10,58,112],"state":[11,59,113],"to":[12,71,84,163,176],"predict":[13],"future":[14],"performance":[15,49,103],"in":[16,42,50,86,93,156],"e-learning":[17,88,206],"systems":[18],"based":[19],"on":[20,60,204],"past":[21],"performance.":[22],"Deep":[23],"learning-based":[24,106],"methods,":[25],"such":[26],"as":[27],"recurrent":[28],"neural":[29,32,36,149,153,159,172],"networks,":[30,33,37],"memory-augmented":[31,148,158],"and":[34,125,151],"attention-based":[35,152,171],"have":[38,46,66],"recently":[39],"been":[40],"used":[41,162,175],"KT.":[43],"Such":[44],"methods":[45,65],"demonstrated":[47],"excellent":[48],"capturing":[51],"latent":[53,91],"dependencies":[54],"recent":[61,179],"exercises.":[62],"However,":[63],"these":[64,196],"limitations":[67],"when":[68,81,118],"it":[69],"comes":[70],"dealing":[72],"with":[73],"so-called":[75],"Skill":[76],"Switching":[77],"Phenomenon":[78],"(SSP),":[79],"i.e.,":[80],"learners":[82],"respond":[83],"exercises":[85,95],"an":[87],"system,":[89],"skills":[92,124,129],"typically":[96],"switch":[97],"irregularly.":[98],"SSP":[99],"will":[100],"deteriorate":[101],"deep":[105],"approaches":[107],"for":[108],"simulating":[109],"during":[114],"skill":[115],"switching,":[116],"particularly":[117],"association":[120],"between":[121,195],"switching":[123],"previously":[127],"learned":[128],"weak.":[131],"To":[132],"address":[133],"this":[134],"problem,":[135],"we":[136,184,208],"propose":[137],"Memory-augmented":[139],"Attentive":[140],"Network":[141],"(MAN),":[142],"which":[143],"combines":[144],"advantages":[146],"networks":[150,160,173],"networks.":[154],"Specifically,":[155],"MAN,":[157],"are":[161,174],"model":[164,177],"learners\u2019":[165,178],"longer":[166],"term":[167,180],"memory":[168],"knowledge,":[169],"while":[170],"knowledge.":[181,200],"In":[182],"addition,":[183],"design":[185],"context-aware":[187],"attention":[188],"mechanism":[189],"that":[190,210],"automatically":[191],"weighs":[192],"tradeoff":[194],"two":[197],"types":[198],"With":[201],"extensive":[202],"experiments":[203],"several":[205],"datasets,":[207],"show":[209],"MAN":[211],"effectively":[212],"improve":[213],"predictive":[214],"accuracies":[215],"existing":[217],"state-of-the-art":[218],"DLKT":[219],"methods.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}