{"id":"https://openalex.org/W4394862827","doi":"https://doi.org/10.1109/access.2024.3388718","title":"DKVMN-KAPS: Dynamic Key-Value Memory Networks Knowledge Tracing With Students\u2019 Knowledge-Absorption Ability and Problem-Solving Ability","display_name":"DKVMN-KAPS: Dynamic Key-Value Memory Networks Knowledge Tracing With Students\u2019 Knowledge-Absorption Ability and Problem-Solving Ability","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4394862827","doi":"https://doi.org/10.1109/access.2024.3388718"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3388718","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3388718","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10499257.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10499257.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100441830","display_name":"Wei Zhang","orcid":"https://orcid.org/0009-0008-8218-753X"},"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":true,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","National Engineering Laboratory for Educational Big Data, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"National Engineering Laboratory for Educational Big Data, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101401261","display_name":"Zhongwei Gong","orcid":"https://orcid.org/0009-0003-1656-2542"},"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":"Zhongwei Gong","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052920192","display_name":"Peihua Luo","orcid":"https://orcid.org/0000-0002-6576-2052"},"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":"Peihua Luo","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100701695","display_name":"Zhixin Li","orcid":null},"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":"Zhixin Li","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100441830"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.8652,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.95502903,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"55146","last_page":"55156"},"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":0.992900013923645,"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/T10636","display_name":"Innovative Teaching and Learning Methods","score":0.9776999950408936,"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/computer-science","display_name":"Computer science","score":0.815897524356842},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.6553106307983398},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6224116086959839},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5219106674194336},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.48332902789115906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45832359790802},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36462974548339844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.815897524356842},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.6553106307983398},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6224116086959839},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5219106674194336},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.48332902789115906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45832359790802},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36462974548339844},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3388718","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3388718","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10499257.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:efce3abffa4a42b1b312388395848763","is_oa":true,"landing_page_url":"https://doaj.org/article/efce3abffa4a42b1b312388395848763","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 55146-55156 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3388718","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3388718","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10499257.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","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/G3297480850","display_name":null,"funder_award_id":"62377024","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/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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394862827.pdf","grobid_xml":"https://content.openalex.org/works/W4394862827.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1597703949","https://openalex.org/W1959691478","https://openalex.org/W1990451873","https://openalex.org/W2015040676","https://openalex.org/W2066816090","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2295598076","https://openalex.org/W2559094423","https://openalex.org/W2606234010","https://openalex.org/W2805035427","https://openalex.org/W2890071599","https://openalex.org/W2929890002","https://openalex.org/W2941898411","https://openalex.org/W2948978827","https://openalex.org/W2953577593","https://openalex.org/W2963625192","https://openalex.org/W3005644236","https://openalex.org/W3034854756","https://openalex.org/W3049335548","https://openalex.org/W3093608523","https://openalex.org/W3093915958","https://openalex.org/W3127790743","https://openalex.org/W3202101445","https://openalex.org/W4213412371","https://openalex.org/W4221026130","https://openalex.org/W4302027343","https://openalex.org/W4303422666","https://openalex.org/W4306742310","https://openalex.org/W4313398738","https://openalex.org/W4313593684","https://openalex.org/W4320034435","https://openalex.org/W4323353076","https://openalex.org/W4385453179","https://openalex.org/W4387747399","https://openalex.org/W4387842533","https://openalex.org/W4389778412","https://openalex.org/W6731370813","https://openalex.org/W6732172084","https://openalex.org/W6762564823","https://openalex.org/W6771621015"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2349927912","https://openalex.org/W3159777597","https://openalex.org/W4212839359","https://openalex.org/W2115758952"],"abstract_inverted_index":{"Knowledge":[0,53],"tracing":[1,20,156],"aims":[2],"to":[3,35,76,92,104],"predict":[4],"students\u2019":[5,28,40,78,88,96,107,116,125],"future":[6],"question-answering":[7,13,41],"performance":[8,42,119,142],"based":[9],"on":[10,135],"their":[11],"historical":[12],"records,":[14],"but":[15],"the":[16,23,44,124,140,150],"current":[17],"mainstream":[18],"knowledge":[19,79,97,126,155],"model":[21],"ignores":[22],"individual":[24],"differences":[25],"in":[26,65],"different":[27],"knowledge-absorption":[29,89],"and":[30,59,85,114,130,148],"problem-solving":[31,108,128],"abilities,":[32],"which":[33],"leads":[34],"a":[36,69],"poor":[37],"prediction":[38,141,151],"of":[39,143,153],"by":[43,122],"model.":[45],"To":[46],"solve":[47],"this,":[48],"Dynamic":[49],"Key-Value":[50],"Memory":[51],"Networks":[52],"Tracing":[54],"with":[55],"Students\u2019":[56],"Knowledge-Absorption":[57],"Ability":[58,61],"Problem-Solving":[60],"(DKVMN-KAPS)":[62],"is":[63,74,102,120],"proposed":[64],"this":[66],"paper.":[67],"Firstly,":[68],"hierarchical":[70],"convolutional":[71],"neural":[72],"network":[73],"used":[75,103],"consider":[77],"mastery":[80],"at":[81,110],"multiple":[82],"time":[83,112],"steps,":[84],"then":[86],"quantify":[87],"ability,":[90,129],"aiming":[91],"more":[93],"accurately":[94],"portray":[95],"states;":[98],"secondly,":[99],"an":[100],"autoencoder":[101],"dynamically":[105],"update":[106],"ability":[109],"each":[111],"step;":[113],"finally,":[115],"question":[117,131],"answering":[118],"predicted":[121],"considering":[123],"state,":[127],"features.":[132],"Extensive":[133],"experiments":[134],"three":[136],"datasets":[137],"show":[138],"that":[139],"DKVMN-KAPS":[144],"outperforms":[145],"existing":[146],"models":[147],"improves":[149],"accuracy":[152],"deep":[154],"models.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2024-04-17T00:00:00"}
