{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T12:52:14Z","timestamp":1782478334374,"version":"3.54.5"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032297433","type":"print"},{"value":"9783032297440","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T00:00:00Z","timestamp":1782518400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T00:00:00Z","timestamp":1782518400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-3-032-29744-0_34","type":"book-chapter","created":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T12:44:27Z","timestamp":1782477867000},"page":"509-523","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Beyond Next-Response Prediction: Evaluating Knowledge State Transition Consistency in\u00a0Deep Learning Based Knowledge Tracing Models"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1261-7708","authenticated-orcid":false,"given":"Youheng","family":"Bai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3852-4030","authenticated-orcid":false,"given":"Shen","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0117-4676","authenticated-orcid":false,"given":"Gangyi","family":"Tan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6095-1041","authenticated-orcid":false,"given":"Jiahao","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0491-307X","authenticated-orcid":false,"given":"Zitao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5605-7397","authenticated-orcid":false,"given":"Weiqi","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,27]]},"reference":[{"issue":"11","key":"34_CR1","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1145\/3569576","volume":"55","author":"G Abdelrahman","year":"2023","unstructured":"Abdelrahman, G., Wang, Q., Nunes, B.: Knowledge tracing: a survey. ACM Comput. Surv. 55(11), 224\u2013261 (2023)","journal-title":"ACM Comput. Surv."},{"issue":"8","key":"34_CR2","doi-asserted-by":"publisher","first-page":"6483","DOI":"10.1007\/s10489-024-05509-8","volume":"54","author":"Y Bai","year":"2024","unstructured":"Bai, Y., Zhao, J., Wei, T., Cai, Q., He, L.: A survey of explainable knowledge tracing. Appl. Intell. 54(8), 6483\u20136514 (2024)","journal-title":"Appl. Intell."},{"issue":"11","key":"34_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3704633","volume":"57","author":"Y Bai","year":"2025","unstructured":"Bai, Y., Liu, Z., Guo, T., Hou, M., Xiao, K.: Prerequisite relation learning: a survey and outlook. ACM Comput. Surv. 57(11), 1\u201328 (2025)","journal-title":"ACM Comput. Surv."},{"key":"34_CR4","doi-asserted-by":"crossref","unstructured":"Chen, J., Liu, Z., Huang, S., Liu, Q., Luo, W.: Improving interpretability of deep sequential knowledge tracing models with question-centric cognitive representations. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a037, pp. 14196\u201314204 (2023)","DOI":"10.1609\/aaai.v37i12.26661"},{"issue":"4","key":"34_CR5","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/BF01099821","volume":"10","author":"AT Corbett","year":"1994","unstructured":"Corbett, A.T., Anderson, J.R.: Knowledge tracing: modeling the acquisition of procedural knowledge. User Model. User-Adap. Inter. 10(4), 253\u2013278 (1994)","journal-title":"User Model. User-Adap. Inter."},{"key":"34_CR6","doi-asserted-by":"crossref","unstructured":"Deng, J., Bai, Y., Hou, M., Guo, T., Liu, Z., Luo, W.: Denoised attention and question-augmented representations for knowledge tracing. In: Proceedings of the 34th International Joint Conference on Artificial Intelligence, pp. 9619\u20139627 (2025)","DOI":"10.24963\/ijcai.2025\/1069"},{"key":"34_CR7","doi-asserted-by":"crossref","unstructured":"Ghosh, A., Heffernan, N., Lan, A.S.: Context-aware attentive knowledge tracing. In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2330\u20132339 (2020)","DOI":"10.1145\/3394486.3403282"},{"key":"34_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2025.103573","volume":"126","author":"S Huang","year":"2026","unstructured":"Huang, S., Liu, Z., Liu, Q., Chen, J., Huang, Y.: Dual-attentional time-aware fusion networks for knowledge tracing. Inf. Fusion 126, 103573 (2026)","journal-title":"Inf. Fusion"},{"issue":"8","key":"34_CR9","doi-asserted-by":"publisher","first-page":"4512","DOI":"10.1109\/TKDE.2025.3552759","volume":"37","author":"Z Liu","year":"2025","unstructured":"Liu, Z., et al.: Deep learning based knowledge tracing: a review, a tool and empirical studies. IEEE Trans. Knowl. Data Eng. 37(8), 4512\u20134536 (2025)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"34_CR10","unstructured":"Liu, Z., Liu, Q., Chen, J., Huang, S., Luo, W.: simpleKT: a simple but tough-to-beat baseline for knowledge tracing. In: Proceedings of the 11th International Conference on Learning Representations (2022)"},{"key":"34_CR11","doi-asserted-by":"publisher","first-page":"18542","DOI":"10.52202\/068431-1347","volume":"35","author":"Z Liu","year":"2022","unstructured":"Liu, Z., Liu, Q., Chen, J., Huang, S., Tang, J., Luo, W.: pyKT: a python library to benchmark deep learning based knowledge tracing models. Adv. Neural. Inf. Process. Syst. 35, 18542\u201318555 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"34_CR12","doi-asserted-by":"crossref","unstructured":"Liu, Z., et al.: Dolphin: a spoken language proficiency assessment system for elementary education. In: Proceedings of the Web Conference 2020, pp. 2641\u20132647 (2020)","DOI":"10.1145\/3366423.3380018"},{"key":"34_CR13","doi-asserted-by":"crossref","unstructured":"Long, T., Liu, Y., Shen, J., Zhang, W., Yu, Y.: Tracing knowledge state with individual cognition and acquisition estimation. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 173\u2013182 (2021)","DOI":"10.1145\/3404835.3462827"},{"key":"34_CR14","doi-asserted-by":"publisher","first-page":"1661","DOI":"10.1109\/TLT.2024.3403135","volume":"17","author":"Y Lu","year":"2024","unstructured":"Lu, Y., Wang, D., Chen, P., Zhang, Z.: Design and evaluation of trustworthy knowledge tracing model for intelligent tutoring system. IEEE Trans. Learn. Technol. 17, 1661\u20131676 (2024)","journal-title":"IEEE Trans. Learn. Technol."},{"key":"34_CR15","doi-asserted-by":"crossref","unstructured":"Nagatani, K., Zhang, Q., Sato, M., Chen, Y.Y., Chen, F., Ohkuma, T.: Augmenting knowledge tracing by considering forgetting behavior. In: Proceedings of the 28th International Conference on World Wide Web, pp. 3101\u20133107 (2019)","DOI":"10.1145\/3308558.3313565"},{"key":"34_CR16","doi-asserted-by":"crossref","unstructured":"Nakagawa, H., Iwasawa, Y., Matsuo, Y.: Graph-based knowledge tracing: modeling student proficiency using graph neural network. In: IEEE\/WIC\/ACM International Conference on Web Intelligence, pp. 156\u2013163 (2019)","DOI":"10.1145\/3350546.3352513"},{"key":"34_CR17","unstructured":"Ozyurt, Y., Almaci, T., Feuerriegel, S., Sachan, M.: Personalized exercise recommendation with semantically-grounded knowledge tracing. In: Advances in Neural Information Processing Systems (2025)"},{"key":"34_CR18","first-page":"505","volume":"28","author":"C Piech","year":"2015","unstructured":"Piech, C., et al.: Deep knowledge tracing. Adv. Neural. Inf. Process. Syst. 28, 505\u2013513 (2015)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"34_CR19","doi-asserted-by":"crossref","unstructured":"Sawyer, R.K.: The Cambridge Handbook of the Learning Sciences. Cambridge University Press (2005)","DOI":"10.1017\/CBO9780511816833"},{"key":"34_CR20","doi-asserted-by":"crossref","unstructured":"Shen, S., Huang, Z., Liu, Q., Su, Y., Wang, S., Chen, E.: Assessing student\u2019s dynamic knowledge state by exploring the question difficulty effect. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 427\u2013437 (2022)","DOI":"10.1145\/3477495.3531939"},{"key":"34_CR21","doi-asserted-by":"crossref","unstructured":"Shen, S., et al.: Learning process-consistent knowledge tracing. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 1452\u20131460 (2021)","DOI":"10.1145\/3447548.3467237"},{"issue":"2","key":"34_CR22","first-page":"203","volume":"25","author":"R Sun","year":"2001","unstructured":"Sun, R., Merrill, E., Peterson, T.: From implicit skills to explicit knowledge: a bottom-up model of skill learning. Cogn. Sci. 25(2), 203\u2013244 (2001)","journal-title":"Cogn. Sci."},{"key":"34_CR23","first-page":"6000","volume":"30","author":"A Vaswani","year":"2017","unstructured":"Vaswani, A., et al.: Attention is all you need. Adv. Neural. Inf. Process. Syst. 30, 6000\u20136010 (2017)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"34_CR24","doi-asserted-by":"crossref","unstructured":"Xiao, J., You, C., Chen, Z.: AlignKT: explicitly modeling knowledge state for knowledge tracing with ideal state alignment. In: 2025 IEEE International Conference on Multimedia and Expo (ICME), pp.\u00a01\u20136. IEEE (2025)","DOI":"10.1109\/ICME59968.2025.11209278"},{"key":"34_CR25","doi-asserted-by":"crossref","unstructured":"Yeung, C.K., Yeung, D.Y.: Addressing two problems in deep knowledge tracing via prediction-consistent regularization. In: Proceedings of the 15th Annual ACM Conference on Learning at Scale, pp. 1\u201310 (2018)","DOI":"10.1145\/3231644.3231647"},{"key":"34_CR26","doi-asserted-by":"crossref","unstructured":"Yin, Y., et al.: Tracing knowledge instead of patterns: stable knowledge tracing with diagnostic transformer. In: Proceedings of the ACM Web Conference 2023, pp. 855\u2013864 (2023)","DOI":"10.1145\/3543507.3583255"},{"key":"34_CR27","doi-asserted-by":"crossref","unstructured":"Yudelson, M.V., Koedinger, K.R., Gordon, G.J.: Individualized Bayesian knowledge tracing models. In: Artificial Intelligence in Education: 16th International Conference, pp. 171\u2013180 (2013)","DOI":"10.1007\/978-3-642-39112-5_18"},{"key":"34_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112431","volume":"303","author":"F Zhang","year":"2024","unstructured":"Zhang, F., Feng, X., Wang, Y.: Personalized process-type learning path recommendation based on process mining and deep knowledge tracing. Knowl.-Based Syst. 303, 112431 (2024)","journal-title":"Knowl.-Based Syst."},{"key":"34_CR29","doi-asserted-by":"crossref","unstructured":"Zhang, J., Shi, X., King, I., Yeung, D.Y.: Dynamic key-value memory networks for knowledge tracing. In: Proceedings of the 26th International Conference on World Wide Web, pp. 765\u2013774 (2017)","DOI":"10.1145\/3038912.3052580"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Education"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-29744-0_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T12:44:48Z","timestamp":1782477888000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-29744-0_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,27]]},"ISBN":["9783032297433","9783032297440"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-29744-0_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,27]]},"assertion":[{"value":"27 June 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIED","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Education","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Seoul","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 June 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.aied-conference.org\/2026","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}