{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T17:04:36Z","timestamp":1782493476678,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T00:00:00Z","timestamp":1665964800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"The Guangdong Basic and Applied Basic Research Foundation","award":["2021A1515011873, 2021B0101420003, 2021B1515120048, 2020A1515010642"],"award-info":[{"award-number":["2021A1515011873, 2021B0101420003, 2021B1515120048, 2020A1515010642"]}]},{"name":"the Project of Guangxi Key Laboratory of Trusted Software","award":["kx202007"],"award-info":[{"award-number":["kx202007"]}]},{"name":"the Teaching Reform Research Projects of Jinan University","award":["JG2021112"],"award-info":[{"award-number":["JG2021112"]}]},{"name":"the Specially Creative University Project for Guangdong","award":["2019KTSCX010"],"award-info":[{"award-number":["2019KTSCX010"]}]},{"name":"the High Performance Public Computing Service Platform of Jinan University"},{"name":"the Science and Technology Planning Project of Guangzhou","award":["202206030007, 202102080307, 201902010041"],"award-info":[{"award-number":["202206030007, 202102080307, 201902010041"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62077028, 61906216, 61877029"],"award-info":[{"award-number":["62077028, 61906216, 61877029"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,17]]},"DOI":"10.1145\/3511808.3557096","type":"proceedings-article","created":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T01:29:57Z","timestamp":1665883797000},"page":"3272-3281","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Cognitive Diagnosis Focusing on Knowledge Concepts"],"prefix":"10.1145","author":[{"given":"Sheng","family":"Li","sequence":"first","affiliation":[{"name":"Jinan University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quanlong","family":"Guan","sequence":"additional","affiliation":[{"name":"Jinan University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangda","family":"Fang","sequence":"additional","affiliation":[{"name":"Jinan University & Pazhou Lab, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang","family":"Xiao","sequence":"additional","affiliation":[{"name":"Jinan University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenyu","family":"He","sequence":"additional","affiliation":[{"name":"Jinan University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yizhou","family":"He","sequence":"additional","affiliation":[{"name":"Jinan University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weiqi","family":"Luo","sequence":"additional","affiliation":[{"name":"Jinan University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Assessment of Student Achievement","author":"Alexander Patricia A","unstructured":"Patricia A Alexander and Gavin TL Brown . 2017. Assessment of Student Achievement . Routledge . Patricia A Alexander and Gavin TL Brown. 2017. Assessment of Student Achievement. Routledge."},{"key":"e_1_3_2_1_2_1","volume-title":"Word Difficulty Prediction Using Convolutional Neural Networks. In TENCON 2019--2019 IEEE Region 10 Conference (TENCON). IEEE, 1109--1112","author":"Basu Arpan","year":"2019","unstructured":"Arpan Basu , Avishek Garain , and Sudip Kumar Naskar . 2019 . Word Difficulty Prediction Using Convolutional Neural Networks. In TENCON 2019--2019 IEEE Region 10 Conference (TENCON). IEEE, 1109--1112 . Arpan Basu, Avishek Garain, and Sudip Kumar Naskar. 2019. Word Difficulty Prediction Using Convolutional Neural Networks. In TENCON 2019--2019 IEEE Region 10 Conference (TENCON). IEEE, 1109--1112."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2988510"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1177\/0146621617697959"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132929"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.3102\/1076998607309474"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11336-011-9207-7"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02295640"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11336-008-9063-2"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-7161(06)26031-0"},{"key":"e_1_3_2_1_11_1","volume-title":"Evaluation of Expert-based Q-matrices Predictive Quality in Matrix Factorization Models. In European Conference on Technology Enhanced Learning. Springer, 56--69","author":"Durand Guillaume","year":"2015","unstructured":"Guillaume Durand , Nabil Belacel , and Cyril Goutte . 2015 . Evaluation of Expert-based Q-matrices Predictive Quality in Matrix Factorization Models. In European Conference on Technology Enhanced Learning. Springer, 56--69 . Guillaume Durand, Nabil Belacel, and Cyril Goutte. 2015. Evaluation of Expert-based Q-matrices Predictive Quality in Matrix Factorization Models. In European Conference on Technology Enhanced Learning. Springer, 56--69."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.46"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1745-3984.1989.tb00336.x"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10740"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2018.00030"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3030497"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_18_1","volume-title":"Cognitive Diagnostic Assessment for Education: Theory and Applications","author":"Leighton Jacqueline","unstructured":"Jacqueline Leighton and Mark Gierl . 2007. Cognitive Diagnostic Assessment for Education: Theory and Applications . Cambridge University Press . Jacqueline Leighton and Mark Gierl. 2007. Cognitive Diagnostic Assessment for Education: Theory and Applications. Cambridge University Press."},{"key":"e_1_3_2_1_19_1","volume-title":"Graph Neural Networks for Decentralized Multi-Robot Path Planning. In 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 11785--11792","author":"Li Qingbiao","year":"2020","unstructured":"Qingbiao Li , Fernando Gama , Alejandro Ribeiro , and Amanda Prorok . 2020 . Graph Neural Networks for Decentralized Multi-Robot Path Planning. In 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 11785--11792 . Qingbiao Li, Fernando Gama, Alejandro Ribeiro, and Amanda Prorok. 2020. Graph Neural Networks for Decentralized Multi-Robot Path Planning. In 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 11785--11792."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2924374"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330922"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3168361","article-title":"Fuzzy Cognitive Diagnosis for Modelling Examinee Performance","volume":"9","author":"Liu Qi","year":"2018","unstructured":"Qi Liu , Runze Wu , Enhong Chen , Guandong Xu , Yu Su , Zhigang Chen , and Guoping Hu . 2018 . Fuzzy Cognitive Diagnosis for Modelling Examinee Performance . ACM Transactions on Intelligent Systems and Technology (TIST) , Vol. 9 , 4 (2018), 1 -- 26 . Qi Liu, Runze Wu, Enhong Chen, Guandong Xu, Yu Su, Zhigang Chen, and Guoping Hu. 2018. Fuzzy Cognitive Diagnosis for Modelling Examinee Performance. ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 9, 4 (2018), 1--26.","journal-title":"ACM Transactions on Intelligent Systems and Technology (TIST)"},{"key":"e_1_3_2_1_23_1","volume-title":"A Theory of Test Scores. Psychometric Monographs","author":"Lord Frederic","year":"1952","unstructured":"Frederic Lord . 1952. A Theory of Test Scores. Psychometric Monographs ( 1952 ). Frederic Lord. 1952. A Theory of Test Scores. Psychometric Monographs (1952)."},{"key":"e_1_3_2_1_24_1","volume-title":"Proceedings of the 28th International Conference on Neural Information Processing Systems","volume":"1","author":"Piech Chris","year":"2015","unstructured":"Chris Piech , Jonathan Bassen , Jonathan Huang , Surya Ganguli , Mehran Sahami , Leonidas Guibas , and Jascha Sohl-Dickstein . 2015 . Deep Knowledge Tracing . Proceedings of the 28th International Conference on Neural Information Processing Systems , Vol. 1 (2015), 505--513. Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas Guibas, and Jascha Sohl-Dickstein. 2015. Deep Knowledge Tracing. Proceedings of the 28th International Conference on Neural Information Processing Systems, Vol. 1 (2015), 505--513."},{"key":"e_1_3_2_1_25_1","volume-title":"Multidimensional Item Response Theory","author":"Reckase Mark D","unstructured":"Mark D Reckase . 2009. Multidimensional Item Response Theory Models . In Multidimensional Item Response Theory . Springer , 79--112. Mark D Reckase. 2009. Multidimensional Item Response Theory Models. In Multidimensional Item Response Theory. Springer, 79--112."},{"key":"e_1_3_2_1_26_1","unstructured":"Ritter S Gordon G.J Koedinger K.R Stamper J Niculescu-Mizil A. 2010. Data Set from KDD Cup 2010 Educational Data Mining Challenge. http:\/\/pslcdatashop.web.cmu.edu\/KDDCup\/downloads.jsp.  Ritter S Gordon G.J Koedinger K.R Stamper J Niculescu-Mizil A. 2010. Data Set from KDD Cup 2010 Educational Data Mining Challenge. http:\/\/pslcdatashop.web.cmu.edu\/KDDCup\/downloads.jsp."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1111\/bmsp.12144"},{"key":"e_1_3_2_1_28_1","volume-title":"Multi-Relational Factorization Models for Student Modeling in Intelligent Tutoring Systems. In 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE). IEEE, 61--66","author":"Thai-Nghe Nguyen","year":"2015","unstructured":"Nguyen Thai-Nghe and Lars Schmidt-Thieme . 2015 . Multi-Relational Factorization Models for Student Modeling in Intelligent Tutoring Systems. In 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE). IEEE, 61--66 . Nguyen Thai-Nghe and Lars Schmidt-Thieme. 2015. Multi-Relational Factorization Models for Student Modeling in Intelligent Tutoring Systems. In 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE). IEEE, 61--66."},{"key":"e_1_3_2_1_29_1","volume-title":"Collaborative Filtering Applied to Educational Data Mining. KDD Cup","author":"Toscher Andreas","year":"2010","unstructured":"Andreas Toscher and Michael Jahrer . 2010. Collaborative Filtering Applied to Educational Data Mining. KDD Cup ( 2010 ). Andreas Toscher and Michael Jahrer. 2010. Collaborative Filtering Applied to Educational Data Mining. KDD Cup (2010)."},{"key":"e_1_3_2_1_30_1","first-page":"7068349","article-title":"Deep Learning for Computer Vision","volume":"2018","author":"Voulodimos A","year":"2018","unstructured":"A Voulodimos , N Doulamis , A Doulamis , and E Protopapadakis . 2018 . Deep Learning for Computer Vision : A Brief Review. Computational Intelligence and Neuroscience , Vol. 2018 (2018), 7068349 -- 7068349 . A Voulodimos, N Doulamis, A Doulamis, and E Protopapadakis. 2018. Deep Learning for Computer Vision: A Brief Review. Computational Intelligence and Neuroscience, Vol. 2018 (2018), 7068349--7068349.","journal-title":"A Brief Review. Computational Intelligence and Neuroscience"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6080"},{"key":"e_1_3_2_1_32_1","volume-title":"Proceedings of the 24th International Conference on Artificial Intelligence, 1017--1024","author":"Wu Runze","year":"2015","unstructured":"Runze Wu , Qi Liu , Yuping Liu , Enhong Chen , Yu Su , Zhigang Chen , and Guoping Hu . 2015 . Cognitive Modelling for Predicting Examinee Performance . Proceedings of the 24th International Conference on Artificial Intelligence, 1017--1024 . Runze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, and Guoping Hu. 2015. Cognitive Modelling for Predicting Examinee Performance. Proceedings of the 24th International Conference on Artificial Intelligence, 1017--1024."},{"key":"e_1_3_2_1_33_1","volume-title":"Proceedings of the 9th International Conference on Educational Data Mining","author":"Xiong Xiaolu","year":"2016","unstructured":"Xiaolu Xiong , Siyuan Zhao , Eric G Van Inwegen , and Joseph E Beck . 2016 . Going Deeper with Deep Knowledge Tracing . Proceedings of the 9th International Conference on Educational Data Mining (2016), 545--550. Xiaolu Xiong, Siyuan Zhao, Eric G Van Inwegen, and Joseph E Beck. 2016. Going Deeper with Deep Knowledge Tracing. Proceedings of the 9th International Conference on Educational Data Mining (2016), 545--550."}],"event":{"name":"CIKM '22: The 31st ACM International Conference on Information and Knowledge Management","location":"Atlanta GA USA","acronym":"CIKM '22","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 31st ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557096","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3511808.3557096","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:56Z","timestamp":1750188656000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557096"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"references-count":33,"alternative-id":["10.1145\/3511808.3557096","10.1145\/3511808"],"URL":"https:\/\/doi.org\/10.1145\/3511808.3557096","relation":{},"subject":[],"published":{"date-parts":[[2022,10,17]]},"assertion":[{"value":"2022-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}