{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T07:46:51Z","timestamp":1782546411395,"version":"3.54.5"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032297594","type":"print"},{"value":"9783032297600","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T00:00:00Z","timestamp":1782604800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T00:00:00Z","timestamp":1782604800000},"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\/978-3-032-29760-0_46","type":"book-chapter","created":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T07:05:06Z","timestamp":1782543906000},"page":"417-426","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Estimating Learners\u2019 Skill Acquisition Without Temporal Information"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-2630-1842","authenticated-orcid":false,"given":"Ryosuke","family":"Nagai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7765-8002","authenticated-orcid":false,"given":"Kyohei","family":"Atarashi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3245-888X","authenticated-orcid":false,"given":"Koh","family":"Takeuchi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9304-2220","authenticated-orcid":false,"given":"Jill-J\u00eann","family":"Vie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2770-0184","authenticated-orcid":false,"given":"Hisashi","family":"Kashima","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,28]]},"reference":[{"key":"46_CR1","unstructured":"Atarashi, K., Oyama, S., Arai, H., Kashima, H.: Probability bounding: post-HOC calibration via box-constrained softmax (2025). arXiv:2506.10572 arXiv preprint"},{"issue":"4","key":"46_CR2","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/BF01099821","volume":"4","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. 4(4), 253\u2013278 (1994)","journal-title":"User Model. User-Adap. Inter."},{"key":"46_CR3","doi-asserted-by":"publisher","DOI":"10.1787\/9789264248373-en","author":"J Cresswell","year":"2015","unstructured":"Cresswell, J., Schwantner, U., Waters, C.: A review of international large-scale assessments in education: assessing component skills and collecting contextual data. OECD Pub. World Bank (2015). https:\/\/doi.org\/10.1787\/9789264248373-en","journal-title":"OECD Pub. World Bank"},{"issue":"3","key":"46_CR4","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1177\/01466210122032064","volume":"25","author":"BW Junker","year":"2001","unstructured":"Junker, B.W., Sijtsma, K.: Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Appl. Psychol. Meas. 25(3), 258\u2013272 (2001)","journal-title":"Appl. Psychol. Meas."},{"key":"46_CR5","doi-asserted-by":"crossref","unstructured":"Martins, A.F.T., Kreutzer, J.: Learning what\u2019s easy: fully differentiable neural easy-first taggers. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 349\u2013362 (2017)","DOI":"10.18653\/v1\/D17-1036"},{"key":"46_CR6","unstructured":"National Center for Education Statistics: About NAEP. National Assessment of Educational Progress (NAEP) website (2025). Accessed 29 Mar 2026"},{"key":"46_CR7","doi-asserted-by":"publisher","unstructured":"OECD: PISA 2022 Assessment and Analytical Framework. OECD Publishing, Paris (2023). https:\/\/doi.org\/10.1787\/dfe0bf9c-en","DOI":"10.1787\/dfe0bf9c-en"},{"key":"46_CR8","unstructured":"Piech, C., et al.: Deep knowledge tracing. In: Advances in Neural Information Processing Systems, vol. 28 (2015)"},{"key":"46_CR9","unstructured":"Plajner, M., Vomlel, J.: Student skill models in adaptive testing. In: Proceedings of the Conference on Probabilistic Graphical Models, pp. 403\u2013414 (2016)"},{"key":"46_CR10","doi-asserted-by":"publisher","first-page":"1858","DOI":"10.1109\/TLT.2024.3383325","volume":"17","author":"S Shen","year":"2024","unstructured":"Shen, S., et al.: A survey of knowledge tracing: models, variants, and applications. IEEE Trans. Learn. Technol. 17, 1858\u20131879 (2024)","journal-title":"IEEE Trans. Learn. Technol."},{"key":"46_CR11","unstructured":"Templin, J., Henson, R.A.: Diagnostic Measurement: Theory, Methods, and Applications, Guilford Press (2010)"},{"key":"46_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.stueduc.2021.101057","volume":"70","author":"TE Toprak-Yildiz","year":"2021","unstructured":"Toprak-Yildiz, T.E.: An international comparison using cognitive diagnostic assessment: fourth graders\u2019 diagnostic profile of reading skills on pirls 2016. Stud. Educ. Eval. 70, 101057 (2021)","journal-title":"Stud. Educ. Eval."},{"issue":"1","key":"46_CR13","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1142\/S021848850400259X","volume":"12","author":"J Vomlel","year":"2004","unstructured":"Vomlel, J.: Bayesian networks in educational testing. Internat. J. Uncertain. Fuzziness Knowl. Based Syst 12(1), 83\u2013100 (2004)","journal-title":"Internat. J. Uncertain. Fuzziness Knowl. Based Syst"},{"key":"46_CR14","unstructured":"Wang, F., et al.: A survey of models for cognitive diagnosis: new developments and future directions. arXiv preprint arXiv:2407.05458 (2024)"}],"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\/978-3-032-29760-0_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T07:05:10Z","timestamp":1782543910000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-29760-0_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,28]]},"ISBN":["9783032297594","9783032297600"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-29760-0_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,28]]},"assertion":[{"value":"28 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"}}]}}