{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T19:35:50Z","timestamp":1773430550957,"version":"3.50.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176085"],"award-info":[{"award-number":["62176085"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62172458"],"award-info":[{"award-number":["62172458"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62207031"],"award-info":[{"award-number":["62207031"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Intelligent Computing and Information Processing Key Laboratory"},{"DOI":"10.13039\/100010449","name":"Ministry of Education","doi-asserted-by":"publisher","award":["2021A001"],"award-info":[{"award-number":["2021A001"]}],"id":[{"id":"10.13039\/100010449","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Learning Technol."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tlt.2024.3381045","type":"journal-article","created":{"date-parts":[[2024,3,22]],"date-time":"2024-03-22T18:06:02Z","timestamp":1711130762000},"page":"1364-1377","source":"Crossref","is-referenced-by-count":17,"title":["Modeling Student Performance Using Feature Crosses Information for Knowledge Tracing"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8946-620X","authenticated-orcid":false,"given":"Lixiang","family":"Xu","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence and Big Data, Hefei University, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3210-6906","authenticated-orcid":false,"given":"Zhanlong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Big Data, Hefei University, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2193-2288","authenticated-orcid":false,"given":"Suojuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5056-171X","authenticated-orcid":false,"given":"Xin","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Electrical and Mechanical Engineering, University of Adelaide, Adelaide, SA, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2561-3420","authenticated-orcid":false,"given":"Minjuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Education University of Hong Kong, Hong Kong, SAR, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4835-4102","authenticated-orcid":false,"given":"Enhong","family":"Chen","sequence":"additional","affiliation":[{"name":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Data Science and School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TLT.2023.3240931"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TLT.2023.3308338"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TLT.2023.3314610"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3569576"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TLT.2023.3254544"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-23207-8_55"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3051028"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/BF01099821"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TLT.2022.3196355"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39112-5_18"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.5555\/2969239.2969296"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01199"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498374"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TLT.2023.3348690"},{"key":"ref15","first-page":"156","article-title":"Graph-based knowledge tracing: Modeling student proficiency using graph neural network","volume-title":"Proc. IEEE\/WIC\/ACM Int. Conf. Web Intell.","author":"Nakagawa","year":"2019"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.08.025"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463015"},{"key":"ref18","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. 5th Int. Conf. Learn. Representations","author":"Kipf","year":"2017"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3059002"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.03.091"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11831-020-09422-4"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.physd.2019.132306"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3231644.3231647"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2924374"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052580"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/nature20101"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref28","first-page":"384","article-title":"A self-attentive model for knowledge tracing","volume-title":"Proc. 12th Int. Conf. Educ. Data Mining Soc.","author":"Pandey","year":"2019"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00063"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TLT.2023.3301011"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67658-2_18"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3535101"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107668"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"ref36","first-page":"45","article-title":"Deep learning over multi-field categorical data:A case study on user response prediction","volume-title":"Proc. 38th Eur. Conf. IR Res. Adv. Inf. Retrieval","author":"Zhang","year":"2016"},{"key":"ref37","first-page":"22691","article-title":"DynaMixer: A vision MLP architecture with dynamic mixing","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wang"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/239"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2021.3070789"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301750"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0151"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.06.111"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0295808"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-52240-7_13"},{"issue":"11","key":"ref46","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Learning Technologies"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4620076\/10376229\/10478159.pdf?arnumber=10478159","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T06:22:32Z","timestamp":1734675752000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10478159\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/tlt.2024.3381045","relation":{},"ISSN":["1939-1382","2372-0050"],"issn-type":[{"value":"1939-1382","type":"electronic"},{"value":"2372-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}