{"id":"https://openalex.org/W4387171364","doi":"https://doi.org/10.3233/faia230434","title":"QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning","display_name":"QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387171364","doi":"https://doi.org/10.3233/faia230434"},"language":"en","primary_location":{"id":"doi:10.3233/faia230434","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230434","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230434","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230434","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100435103","display_name":"Shuo Liu","orcid":"https://orcid.org/0000-0002-3092-7638"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Liu","raw_affiliation_strings":["Shanghai Institute of AI for Education and School of Computer Science and Technology, East China Normal University, Shanghai 200062, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Institute of AI for Education and School of Computer Science and Technology, East China Normal University, Shanghai 200062, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103669029","display_name":"Hong Qian","orcid":"https://orcid.org/0009-0007-7563-973X"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Qian","raw_affiliation_strings":["Shanghai Institute of AI for Education and School of Computer Science and Technology, East China Normal University, Shanghai 200062, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Institute of AI for Education and School of Computer Science and Technology, East China Normal University, Shanghai 200062, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100671994","display_name":"Mingjia Li","orcid":"https://orcid.org/0000-0002-2903-8489"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjia Li","raw_affiliation_strings":["Shanghai Institute of AI for Education and School of Computer Science and Technology, East China Normal University, Shanghai 200062, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Institute of AI for Education and School of Computer Science and Technology, East China Normal University, Shanghai 200062, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050248676","display_name":"Aimin Zhou","orcid":"https://orcid.org/0000-0002-4768-5946"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aimin Zhou","raw_affiliation_strings":["Shanghai Institute of AI for Education and School of Computer Science and Technology, East China Normal University, Shanghai 200062, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Institute of AI for Education and School of Computer Science and Technology, East China Normal University, Shanghai 200062, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103669029"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":3.9905,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9476483,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9521999955177307,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9521999955177307,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9218999743461609,"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/interpretability","display_name":"Interpretability","score":0.962761640548706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6134392023086548},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5911468863487244},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5810521245002747},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.549060046672821},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.4851292073726654},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.43123960494995117},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42411357164382935},{"id":"https://openalex.org/keywords/cognitive-model","display_name":"Cognitive model","score":0.4192638397216797},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.23271772265434265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15797004103660583}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.962761640548706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6134392023086548},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5911468863487244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5810521245002747},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.549060046672821},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.4851292073726654},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.43123960494995117},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42411357164382935},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.4192638397216797},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23271772265434265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15797004103660583},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230434","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230434","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230434","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230434","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230434","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230434","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8600000143051147}],"awards":[{"id":"https://openalex.org/G5686620817","display_name":null,"funder_award_id":"22511105901","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G7712237247","display_name":"\u9ad8\u7ef4\u975e\u51f8\u96f6\u9636\u4f18\u5316\u7406\u8bba\u4e0e\u7b97\u6cd5\u7814\u7a76","funder_award_id":"21ZR1420300","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321659","display_name":"Shanghai Education Development Foundation","ror":"https://ror.org/02kq92y46"},{"id":"https://openalex.org/F4320321881","display_name":"Shanghai Municipal Education Commission","ror":"https://ror.org/05tewj457"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387171364.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1969235046","https://openalex.org/W2043690467","https://openalex.org/W2095705004","https://openalex.org/W2108611097","https://openalex.org/W2151226328","https://openalex.org/W2155573334","https://openalex.org/W2160920329","https://openalex.org/W2168148636","https://openalex.org/W2187089797","https://openalex.org/W2574724503","https://openalex.org/W2741615969","https://openalex.org/W2752819974","https://openalex.org/W2787760162","https://openalex.org/W2788891493","https://openalex.org/W2792643794","https://openalex.org/W2889900103","https://openalex.org/W2940980190","https://openalex.org/W2952369555","https://openalex.org/W2975424829","https://openalex.org/W2997882704","https://openalex.org/W3006419771","https://openalex.org/W3023986004","https://openalex.org/W3035458135","https://openalex.org/W3038522363","https://openalex.org/W3080637782","https://openalex.org/W3155422817","https://openalex.org/W3156063660","https://openalex.org/W3176726917","https://openalex.org/W3192050629","https://openalex.org/W4288101893","https://openalex.org/W4290845260","https://openalex.org/W4292793914","https://openalex.org/W4293117528","https://openalex.org/W4295253939","https://openalex.org/W4299515571"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4375864949","https://openalex.org/W2018580387","https://openalex.org/W4312269093","https://openalex.org/W3170261037","https://openalex.org/W3135588948","https://openalex.org/W4210420802","https://openalex.org/W2574301230","https://openalex.org/W2987568073","https://openalex.org/W2265587781"],"abstract_inverted_index":{"Cognitive":[0,87],"diagnosis":[1,32,196],"is":[2],"vital":[3],"for":[4,70,91],"intelligent":[5],"education":[6],"to":[7,45,102,115,138,147,161],"determine":[8],"students\u2019":[9,66,107,183],"knowledge":[10,25,50,75,122,173],"mastery":[11,67,108],"levels":[12,109],"from":[13],"their":[14,117,140],"response":[15],"logs.":[16],"The":[17,203],"Q-matrix,":[18],"representing":[19],"the":[20,28,36,46,60,97,104,149,155,163,187,192,200,214],"relationships":[21,164],"between":[22,106,165],"exercises":[23,166],"and":[24,41,62,127,167,179,198,222],"attributes,":[26,112,174],"improves":[27],"interpretability":[29,63],"of":[30,49,64,182,189,219],"cognitive":[31,195],"models.":[33],"However,":[34],"completing":[35],"Q-matrix":[37,56,150,157],"poses":[38],"an":[39],"expensive":[40],"challenging":[42],"task":[43],"due":[44],"fine-grained":[47],"division":[48],"attributes.":[51,76],"Moreover,":[52],"a":[53,84,159,177],"manually":[54],"sparse":[55],"can":[57,133],"also":[58],"compromise":[59],"accuracy":[61,126,221],"deducing":[65],"levels,":[68],"especially":[69],"infrequently":[71],"observed":[72,121],"or":[73],"unseen":[74],"To":[77],"address":[78],"this":[79,81],"issue,":[80],"paper":[82],"proposes":[83],"Q-augmented":[85],"Causal":[86],"Diagnosis":[88],"Model":[89],"(QCCDM)":[90],"student":[92],"learning.":[93],"Specifically,":[94],"QCCDM":[95,212],"incorporates":[96],"structure":[98],"causal":[99],"model":[100],"(SCM)":[101],"capture":[103],"causality":[105],"on":[110,119,136,207],"different":[111],"which":[113,153],"enables":[114],"infer":[116],"proficiency":[118],"rarely":[120],"attributes":[123],"with":[124,130],"better":[125],"interpretability.":[128,223],"Notably,":[129],"SCM,":[131],"one":[132],"guide":[134],"students":[135],"how":[137],"realize":[139],"self-improvement":[141],"through":[142],"intervention.":[143],"Furthermore,":[144],"we":[145],"propose":[146],"augment":[148],"in":[151,176,217],"QCCDM,":[152],"uses":[154],"manual":[156],"as":[158,169,171],"prior":[160],"deduce":[162],"explicit":[168],"well":[170],"latent":[172],"resulting":[175],"complete":[178],"comprehensive":[180],"assessment":[181],"abilities.":[184],"We":[185],"assess":[186],"efficacy":[188],"Q-augmentation":[190],"across":[191],"widely-used":[193],"Q-based":[194],"models":[197],"conduct":[199],"ablation":[201],"study.":[202],"extensive":[204],"experimental":[205],"results":[206],"real-world":[208],"datasets":[209],"show":[210],"that":[211],"outperforms":[213],"compared":[215],"methods":[216],"terms":[218],"both":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
