{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T10:00:40Z","timestamp":1775815240582,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,4,30]],"date-time":"2023-04-30T00:00:00Z","timestamp":1682812800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,4,30]]},"DOI":"10.1145\/3543507.3583866","type":"proceedings-article","created":{"date-parts":[[2023,4,26]],"date-time":"2023-04-26T23:30:25Z","timestamp":1682551825000},"page":"4178-4187","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":62,"title":["Enhancing Deep Knowledge Tracing with Auxiliary Tasks"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0491-307X","authenticated-orcid":false,"given":"Zitao","family":"Liu","sequence":"first","affiliation":[{"name":"Guangdong Institute of Smart Education, Jinan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7842-2447","authenticated-orcid":false,"given":"Qiongqiong","family":"Liu","sequence":"additional","affiliation":[{"name":"TAL Education Group, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6095-1041","authenticated-orcid":false,"given":"Jiahao","family":"Chen","sequence":"additional","affiliation":[{"name":"TAL Education Group, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0217-7494","authenticated-orcid":false,"given":"Shuyan","family":"Huang","sequence":"additional","affiliation":[{"name":"TAL Education Group, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8523-2828","authenticated-orcid":false,"given":"Boyu","family":"Gao","sequence":"additional","affiliation":[{"name":"Guangdong Institute of Smart Education, Jinan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5605-7397","authenticated-orcid":false,"given":"Weiqi","family":"Luo","sequence":"additional","affiliation":[{"name":"Guangdong Institute of Smart Education, Jinan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4067-8230","authenticated-orcid":false,"given":"Jian","family":"Weng","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Jinan University, China"}]}],"member":"320","published-online":{"date-parts":[[2023,4,30]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331195"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i4.20364"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/11774303_17"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i12.26661"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00019"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386527.3405945"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01099821"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403282"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475554"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TLT.2017.2689017"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TLT.2018.2823710"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3303772.3303786"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2924374"},{"key":"e_1_3_2_2_14_1","volume-title":"Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence. 1577\u20131583","author":"Liu Yunfei","year":"2021","unstructured":"Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, and Yong Yu. 2021. Improving knowledge tracing via pre-training question embeddings. In Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence. 1577\u20131583."},{"key":"e_1_3_2_2_15_1","volume-title":"Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track.","author":"Liu Zitao","year":"2022","unstructured":"Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Jiliang Tang, and Weiqi Luo. 2022. pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models. In Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462827"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00156"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313565"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3350546.3352513"},{"key":"e_1_3_2_2_20_1","volume-title":"12th International Conference on Educational Data Mining. International Educational Data Mining Society, 384\u2013389","author":"Pandey Shalini","year":"2019","unstructured":"Shalini Pandey and George Karypis. 2019. A self-attentive model for knowledge tracing. In 12th International Conference on Educational Data Mining. International Educational Data Mining Society, 384\u2013389."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411994"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13470-8_24"},{"key":"e_1_3_2_2_23_1","volume-title":"Deep knowledge tracing. Advances in Neural Information Processing Systems 28","author":"Piech Chris","year":"2015","unstructured":"Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas\u00a0J Guibas, and Jascha Sohl-Dickstein. 2015. Deep knowledge tracing. Advances in Neural Information Processing Systems 28 (2015)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-52240-7_46"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531939"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467237"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401288"},{"key":"e_1_3_2_2_28_1","volume-title":"Proceedings of The 13th International Conference on Educational Data Mining (EDM","author":"Sonkar Shashank","year":"2020","unstructured":"Shashank Sonkar, Andrew\u00a0E Waters, Andrew\u00a0S Lan, Phillip\u00a0J Grimaldi, and Richard\u00a0G Baraniuk. 2020. qDKT: Question-centric deep knowledge tracing. In Proceedings of The 13th International Conference on Educational Data Mining (EDM 2020). 677\u2013681."},{"key":"e_1_3_2_2_29_1","volume-title":"Algebra I 2005-2006 and Bridge to Algebra 2006-2007","author":"Stamper J","year":"2010","unstructured":"J Stamper, A Niculescu-Mizil, S Ritter, G Gordon, and K Koedinger. 2010. Algebra I 2005-2006 and Bridge to Algebra 2006-2007. Development data sets from KDD Cup 2010 Educational Data Mining Challenge."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11864"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","unstructured":"Nguyen Thai-Nghe Lucas Drumond Tom\u00e1\u0161 Horv\u00e1th Artus Krohn-Grimberghe Alexandros Nanopoulos and Lars Schmidt-Thieme. 2012. Factorization techniques for predicting student performance. In Educational Recommender Systems and Technologies: Practices and Challenges. IGI Global 129\u2013153.","DOI":"10.4018\/978-1-61350-489-5.ch006"},{"key":"e_1_3_2_2_32_1","volume-title":"HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing. arXiv preprint arXiv:2006.16915","author":"Tong Hanshuang","year":"2020","unstructured":"Hanshuang Tong, Zhen Wang, Qi Liu, Yun Zhou, and Wenyuan Han. 2020. HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing. arXiv preprint arXiv:2006.16915 (2020)."},{"key":"e_1_3_2_2_33_1","volume-title":"Structure-based Knowledge Tracing: An Influence Propagation View. In 2020 IEEE International Conference on Data Mining. IEEE, 541\u2013550","author":"Tong Shiwei","year":"2020","unstructured":"Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, and Shijin Wang. 2020. Structure-based Knowledge Tracing: An Influence Propagation View. In 2020 IEEE International Conference on Data Mining. IEEE, 541\u2013550."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6080"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-23207-8_56"},{"key":"e_1_3_2_2_36_1","volume-title":"Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge. ArXiv preprint abs\/2007.12061","author":"Wang Zichao","year":"2020","unstructured":"Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, Jos\u00e9\u00a0Miguel Hern\u00e1ndez-Lobato, Richard\u00a0E Turner, Richard\u00a0G Baraniuk, Craig Barton, Simon\u00a0Peyton Jones, 2020. Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge. ArXiv preprint abs\/2007.12061 (2020). https:\/\/arxiv.org\/abs\/2007.12061"},{"key":"e_1_3_2_2_37_1","volume-title":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 299\u2013315","author":"Yang Yang","year":"2020","unstructured":"Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, and Yong Yu. 2020. GIKT: a graph-based interaction model for knowledge tracing. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 299\u2013315."},{"key":"e_1_3_2_2_38_1","volume-title":"Proceedings of The 12th International Conference on Educational Data Mining (EDM","author":"Yeung Chun-Kit","year":"2019","unstructured":"Chun-Kit Yeung. 2019. Deep-IRT: Make deep learning based knowledge tracing explainable using item response theory. In Proceedings of The 12th International Conference on Educational Data Mining (EDM 2019). 683\u2013686."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3231644.3231647"},{"key":"e_1_3_2_2_40_1","volume-title":"Individualizing Bayesian Knowledge Tracing. Are Skill Parameters More Important than Student Parameters?","author":"Yudelson V","year":"2016","unstructured":"Michael\u00a0V Yudelson. 2016. Individualizing Bayesian Knowledge Tracing. Are Skill Parameters More Important than Student Parameters?.International Educational Data Mining Society (2016)."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052580"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482372"}],"event":{"name":"WWW '23: The ACM Web Conference 2023","location":"Austin TX USA","acronym":"WWW '23","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2023"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543507.3583866","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3543507.3583866","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:03Z","timestamp":1750178823000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543507.3583866"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,30]]},"references-count":42,"alternative-id":["10.1145\/3543507.3583866","10.1145\/3543507"],"URL":"https:\/\/doi.org\/10.1145\/3543507.3583866","relation":{},"subject":[],"published":{"date-parts":[[2023,4,30]]},"assertion":[{"value":"2023-04-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}