{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T13:46:36Z","timestamp":1782481596997,"version":"3.54.5"},"publisher-location":"Cham","reference-count":24,"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_40","type":"book-chapter","created":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T12:53:05Z","timestamp":1782478385000},"page":"601-615","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["SLOW: Strategic Logical-Inference Open Workspace for\u00a0Cognitive Adaptation in\u00a0AI Tutoring"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8187-4011","authenticated-orcid":false,"given":"Yuang","family":"Wei","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9680-7508","authenticated-orcid":false,"given":"Ruijia","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7914-1978","authenticated-orcid":false,"given":"Bo","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,27]]},"reference":[{"issue":"1","key":"40_CR1","first-page":"7","volume":"5","author":"P Black","year":"1998","unstructured":"Black, P., Wiliam, D.: Assessment and classroom learning. Assess. Educ. Principles Policy Pract. 5(1), 7\u201374 (1998)","journal-title":"Assess. Educ. Principles Policy Pract."},{"issue":"10","key":"40_CR2","doi-asserted-by":"publisher","first-page":"914","DOI":"10.1111\/j.1747-9991.2010.00330.x","volume":"5","author":"K Frankish","year":"2010","unstructured":"Frankish, K.: Dual-process and dual-system theories of reasoning. Philos Compass 5(10), 914\u2013926 (2010)","journal-title":"Philos Compass"},{"key":"40_CR3","unstructured":"Fu, S., Desmarais, M.C.: Markov blanket based feature selection: a review of past decade. In: Proceedings of the World Congress on Engineering, vol.\u00a01, pp. 321\u2013328. Newswood Ltd., Hong Kong, China (2010)"},{"key":"40_CR4","unstructured":"Guo, D., et\u00a0al.: Deepseek-r1: incentivizing reasoning capability in LLMs via reinforcement learning. arXiv preprint arXiv:2501.12948 (2025)"},{"key":"40_CR5","unstructured":"Jia, R., et al.: Diacdm: cognitive diagnosis in teacher-student dialogues using the initiation-response-evaluation framework. arXiv preprint arXiv:2509.24821 (2025)"},{"issue":"3","key":"40_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2023.103620","volume":"61","author":"B Jiang","year":"2024","unstructured":"Jiang, B., Wei, Y., Zhang, T., Zhang, W.: Improving the performance and explainability of knowledge tracing via Markov blanket. Inf. Process. Manag. 61(3), 103620 (2024)","journal-title":"Inf. Process. Manag."},{"key":"40_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.caeai.2021.100017","volume":"2","author":"T Kabudi","year":"2021","unstructured":"Kabudi, T., Pappas, I., Olsen, D.H.: AI-enabled adaptive learning systems: a systematic mapping of the literature. Comput. Educ. Artif. Intell. 2, 100017 (2021)","journal-title":"Comput. Educ. Artif. Intell."},{"key":"40_CR8","unstructured":"Liu, A., et al.: Deepseek-v3 technical report. arXiv preprint arXiv:2412.19437 (2024)"},{"key":"40_CR9","doi-asserted-by":"publisher","first-page":"85693","DOI":"10.52202\/079017-2721","volume":"37","author":"J Liu","year":"2024","unstructured":"Liu, J., et al.: Socraticlm: exploring socratic personalized teaching with large language models. Adv. Neural. Inf. Process. Syst. 37, 85693\u201385721 (2024)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"40_CR10","doi-asserted-by":"crossref","unstructured":"Liu, Z., Yin, S.X., Lin, G., Chen, N.: Personality-aware student simulation for conversational intelligent tutoring systems. In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pp. 626\u2013642 (2024)","DOI":"10.18653\/v1\/2024.emnlp-main.37"},{"key":"40_CR11","unstructured":"Hung, M., Sebastian, N., Victor-Alexandru, T., Alkis, P., Adish, G.S.: Synthesizing high-quality programming tasks with LLM-based expert and student agents (2025)"},{"key":"40_CR12","doi-asserted-by":"crossref","unstructured":"Muennighoff, N., et al.: s1: Simple test-time scaling. In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp. 20286\u201320332 (2025)","DOI":"10.18653\/v1\/2025.emnlp-main.1025"},{"key":"40_CR13","doi-asserted-by":"crossref","unstructured":"Murray, T.: An overview of intelligent tutoring system authoring tools: updated analysis of the state of the art. Authoring tools for advanced technology learning environments: toward cost-effective adaptive, interactive and intelligent educational software, pp. 491\u2013544 (2003)","DOI":"10.1007\/978-94-017-0819-7_17"},{"key":"40_CR14","doi-asserted-by":"crossref","unstructured":"Peng, X., Yuan, P., Li, D., Cheng, J., Fang, Q., Liu, Z.: Kele: a multi-agent framework for structured socratic teaching with large language models. In: Findings of the Association for Computational Linguistics: EMNLP 2025, pp. 16342\u201316362 (2025)","DOI":"10.18653\/v1\/2025.findings-emnlp.888"},{"key":"40_CR15","doi-asserted-by":"crossref","unstructured":"Rooein, D., et al.: Pats: personality-aware teaching strategies with large language model tutors. arXiv preprint arXiv:2601.08402 (2026)","DOI":"10.18653\/v1\/2026.findings-eacl.219"},{"issue":"7","key":"40_CR16","doi-asserted-by":"publisher","first-page":"1383","DOI":"10.1080\/03075079.2019.1679763","volume":"46","author":"T Ryan","year":"2021","unstructured":"Ryan, T., French, S., Kennedy, G.: Beyond the iron triangle: improving the quality of teaching and learning at scale. Stud. High. Educ. 46(7), 1383\u20131394 (2021)","journal-title":"Stud. High. Educ."},{"issue":"2","key":"40_CR17","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/BF00117714","volume":"18","author":"DR Sadler","year":"1989","unstructured":"Sadler, D.R.: Formative assessment and the design of instructional systems. Instr. Sci. 18(2), 119\u2013144 (1989)","journal-title":"Instr. Sci."},{"key":"40_CR18","doi-asserted-by":"crossref","unstructured":"Scarlatos, A., Baker, R.S., Lan, A.: Exploring knowledge tracing in tutor-student dialogues using LLMs. In: Proceedings of the 15th International Learning Analytics and Knowledge Conference, pp. 249\u2013259 (2025)","DOI":"10.1145\/3706468.3706501"},{"key":"40_CR19","doi-asserted-by":"crossref","unstructured":"Sweller, J.: Cognitive load theory. In: Psychology of Learning and Motivation, vol.\u00a055, pp. 37\u201376. Elsevier, Amsterdam (2011)","DOI":"10.1016\/B978-0-12-387691-1.00002-8"},{"key":"40_CR20","doi-asserted-by":"crossref","unstructured":"Wang, F., et al.: Neural cognitive diagnosis for intelligent education systems. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a034, pp. 6153\u20136161 (2020)","DOI":"10.1609\/aaai.v34i04.6080"},{"key":"40_CR21","doi-asserted-by":"publisher","first-page":"24824","DOI":"10.52202\/068431-1800","volume":"35","author":"J Wei","year":"2022","unstructured":"Wei, J., et al.: Chain-of-thought prompting elicits reasoning in large language models. Adv. Neural. Inf. Process. Syst. 35, 24824\u201324837 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"40_CR22","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1109\/TLT.2023.3307565","volume":"17","author":"Y Wei","year":"2023","unstructured":"Wei, Y., Jiang, B.: Interpretable cognitive state prediction via temporal fuzzy cognitive map. IEEE Trans. Learn. Technol. 17, 514\u2013526 (2023)","journal-title":"IEEE Trans. Learn. Technol."},{"key":"40_CR23","doi-asserted-by":"crossref","unstructured":"Zhang, X., Zhang, C., Sun, J., Xiao, J., Yang, Y., Luo, Y.: Eduplanner: LLM-based multi-agent systems for customized and intelligent instructional design. IEEE Trans. Learn. Technol. (2025)","DOI":"10.1109\/TLT.2025.3561332"},{"key":"40_CR24","doi-asserted-by":"crossref","unstructured":"Zhang, Z., et\u00a0al.: Simulating classroom education with LLM-empowered agents. In: Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pp. 10364\u201310379 (2025)","DOI":"10.18653\/v1\/2025.naacl-long.520"}],"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_40","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T12:53:31Z","timestamp":1782478411000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-29744-0_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,27]]},"ISBN":["9783032297433","9783032297440"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-29744-0_40","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"}}]}}