{"id":"https://openalex.org/W3208144117","doi":"https://doi.org/10.1145/3459637.3482311","title":"Using Knowledge Concept Aggregation towards Accurate Cognitive Diagnosis","display_name":"Using Knowledge Concept Aggregation towards Accurate Cognitive Diagnosis","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3208144117","doi":"https://doi.org/10.1145/3459637.3482311","mag":"3208144117"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482311","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"type":"article","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/A5100707895","display_name":"Xinping Wang","orcid":"https://orcid.org/0000-0001-7067-2986"},"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":"Xinping Wang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078204090","display_name":"Caidie Huang","orcid":null},"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":"Caidie Huang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083528033","display_name":"Jinfang Cai","orcid":"https://orcid.org/0000-0002-8517-6253"},"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":"Jinfang Cai","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100780219","display_name":"Liangyu Chen","orcid":"https://orcid.org/0000-0003-0394-6208"},"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":"Liangyu Chen","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2389,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.90132443,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2010","last_page":"2019"},"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":0.9987999796867371,"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":0.9987999796867371,"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":0.991100013256073,"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":0.98580002784729,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8218903541564941},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7496020197868347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6038503646850586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.571161687374115},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5491563677787781},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5247830748558044},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.519233763217926},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5180549621582031},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5151811838150024},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44718727469444275},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.41346535086631775},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16350644826889038},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09642648696899414},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08817452192306519}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8218903541564941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7496020197868347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6038503646850586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.571161687374115},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5491563677787781},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5247830748558044},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.519233763217926},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5180549621582031},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5151811838150024},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44718727469444275},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.41346535086631775},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16350644826889038},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09642648696899414},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08817452192306519},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3459637.3482311","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W616464301","https://openalex.org/W650350307","https://openalex.org/W1529533208","https://openalex.org/W1562078062","https://openalex.org/W1648888400","https://openalex.org/W1969705022","https://openalex.org/W1977230515","https://openalex.org/W1984938651","https://openalex.org/W1993997587","https://openalex.org/W2051963836","https://openalex.org/W2066816090","https://openalex.org/W2088656430","https://openalex.org/W2117122404","https://openalex.org/W2140790200","https://openalex.org/W2144354855","https://openalex.org/W2155653793","https://openalex.org/W2160920329","https://openalex.org/W2161984370","https://openalex.org/W2162674806","https://openalex.org/W2605073321","https://openalex.org/W2787760162","https://openalex.org/W2791327891","https://openalex.org/W2891447705","https://openalex.org/W2921387835","https://openalex.org/W2947092077","https://openalex.org/W2951364397","https://openalex.org/W2963666583","https://openalex.org/W2966684417","https://openalex.org/W3044970283","https://openalex.org/W3104946560","https://openalex.org/W4245044266","https://openalex.org/W4248976610","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4385957992","https://openalex.org/W4229079080","https://openalex.org/W4206534706","https://openalex.org/W4385965371","https://openalex.org/W4386025632","https://openalex.org/W3006943036","https://openalex.org/W4320854072","https://openalex.org/W4381383350","https://openalex.org/W2558685994","https://openalex.org/W3214630042"],"abstract_inverted_index":{"Cognitive":[0],"diagnosis":[1,81],"is":[2,15,77],"a":[3,26,36,85,103],"crucial":[4],"task":[5],"in":[6,28,65,154,183],"the":[7,21,47,57,66,73,139,151,155,162,165,179],"field":[8],"of":[9,23,38,50,88,138,164,185],"educational":[10],"measurement":[11],"and":[12,19,40,62,126,148,188],"psychology,":[13],"which":[14,159],"aimed":[16],"to":[17,45,79,109],"mine":[18],"analyze":[20],"level":[22],"knowledge":[24,63,89,94,131,140,156],"for":[25],"student":[27,124],"his":[29],"or":[30,69],"her":[31],"learning":[32,48,67],"process":[33],"periodically.":[34],"While":[35],"number":[37],"approaches":[39,182],"tools":[41],"have":[42],"been":[43],"developed":[44],"diagnose":[46],"states":[49],"students,":[51,60],"they":[52],"do":[53,70],"not":[54,71,116],"fully":[55],"learn":[56],"relationship":[58],"between":[59,121],"exercises":[61],"concepts":[64,90,141],"system,":[68],"consider":[72],"traits":[74],"that":[75],"it":[76],"easier":[78],"complete":[80],"when":[82],"focusing":[83],"on":[84,129,173],"small":[86],"part":[87],"rather":[91],"than":[92],"all":[93],"concepts.":[95],"To":[96],"address":[97],"these":[98],"limitations,":[99],"we":[100],"develop":[101],"CDGK,":[102],"model":[104,166],"based":[105],"artificial":[106],"neural":[107],"network":[108],"deal":[110],"with":[111],"cognitive":[112],"diagnosis.":[113],"Our":[114],"method":[115],"only":[117,149],"captures":[118],"non-linear":[119],"interactions":[120],"exercise":[122],"features,":[123],"scores,":[125],"their":[127],"mastery":[128],"each":[130],"concept,":[132],"but":[133],"also":[134],"performs":[135],"an":[136],"aggregation":[137],"via":[142],"converting":[143],"them":[144],"into":[145],"graph":[146],"structure,":[147],"considering":[150],"leaf":[152],"node":[153],"concept":[157],"tree,":[158],"can":[160],"reduce":[161],"dimension":[163],"without":[167],"accuracy":[168],"loss.":[169],"In":[170],"our":[171],"evaluation":[172],"two":[174],"real-world":[175],"datasets,":[176],"CDGK":[177],"outperforms":[178],"state-of-the-art":[180],"related":[181],"terms":[184],"accuracy,":[186],"reasonableness":[187],"interpretability.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
