{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T15:57:09Z","timestamp":1782316629209,"version":"3.54.5"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032297549","type":"print"},{"value":"9783032297556","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T00:00:00Z","timestamp":1782345600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T00:00:00Z","timestamp":1782345600000},"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\/978-3-032-29755-6_2","type":"book-chapter","created":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T15:42:26Z","timestamp":1782315746000},"page":"16-32","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Capture-Calibrate-Coach: A Graph-Based Framework for\u00a0Knowledge Monitoring Estimation and\u00a0Adaptive Feedback"],"prefix":"10.1007","author":[{"given":"Gen","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheng","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Boxuan","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuncheng","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daisuke","family":"Deguchi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takayoshi","family":"Yamashita","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Atsushi","family":"Shimada","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,25]]},"reference":[{"issue":"2","key":"2_CR1","first-page":"85","volume":"16","author":"MC Aytekin","year":"2024","unstructured":"Aytekin, M.C., Sayg\u0131n, Y., et al.: Ace: Ai-assisted construction of educational knowledge graphs with prerequisite relations. J. Educ. Data Mining 16(2), 85\u2013114 (2024)","journal-title":"J. Educ. Data Mining"},{"issue":"4","key":"2_CR2","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1037\/a0033268","volume":"18","author":"AB Barrett","year":"2013","unstructured":"Barrett, A.B., Dienes, Z., Seth, A.K.: Measures of metacognition on signal-detection theoretic models. Psychol. Methods 18(4), 535 (2013)","journal-title":"Psychol. Methods"},{"key":"2_CR3","doi-asserted-by":"publisher","first-page":"229","DOI":"10.3389\/fpsyg.2012.00229","volume":"3","author":"L Bol","year":"2012","unstructured":"Bol, L., Hacker, D.J.: Calibration research: where do we go from here? Front. Psychol. 3, 229 (2012)","journal-title":"Front. Psychol."},{"issue":"3","key":"2_CR4","doi-asserted-by":"publisher","first-page":"245","DOI":"10.3102\/00346543065003245","volume":"65","author":"DL Butler","year":"1995","unstructured":"Butler, D.L., Winne, P.H.: Feedback and self-regulated learning: a theoretical synthesis. Rev. Educ. Res. 65(3), 245\u2013281 (1995)","journal-title":"Rev. Educ. Res."},{"key":"2_CR5","unstructured":"Chen, L., Li, G., Ma, B., Tang, C., Yamada, M.: A three-step knowledge graph approach using llms in collaborative problem solving-based stem education. International Association for Development of the Information Society (2024)"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"Chen, L., Li, G., Ma, B., Tang, C., Yamada, M., Shimada, A.: Classifying knowledge nodes and analyzing activation features: an integrated knowledge graph approach for collaborative problem-solving. In: 2025 IEEE International Conference on Advanced Learning Technologies (ICALT), pp. 107\u2013111 (2025)","DOI":"10.1109\/ICALT64023.2025.00036"},{"key":"2_CR7","doi-asserted-by":"publisher","first-page":"31553","DOI":"10.1109\/ACCESS.2018.2839607","volume":"6","author":"P Chen","year":"2018","unstructured":"Chen, P., Lu, Y., Zheng, V.W., Chen, X., Yang, B.: Knowedu: a system to construct knowledge graph for education. IEEE Access 6, 31553\u201331563 (2018)","journal-title":"IEEE Access"},{"issue":"6","key":"2_CR8","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1016\/S0022-5371(72)80001-X","volume":"11","author":"FI Craik","year":"1972","unstructured":"Craik, F.I., Lockhart, R.S.: Levels of processing: a framework for memory research. J. Verbal Learn. Verbal Behav. 11(6), 671\u2013684 (1972)","journal-title":"J. Verbal Learn. Verbal Behav."},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Frej, J., Shah, N., Knezevic, M., Nazaretsky, T., K\u00e4ser, T.: Finding paths for explainable mooc recommendation: a learner perspective. In: Proceedings of the 14th Learning Analytics and Knowledge Conference, pp. 426\u2013437 (2024)","DOI":"10.1145\/3636555.3636898"},{"issue":"n12A","key":"2_CR10","first-page":"63","volume":"4","author":"SD G\u00f6ker","year":"2016","unstructured":"G\u00f6ker, S.D.: Use of reflective journals in development of teachers\u2019 leadership and teaching skills. Univ. J. Educ. Res. 4(n12A), 63\u201370 (2016)","journal-title":"Univ. J. Educ. Res."},{"issue":"1","key":"2_CR11","doi-asserted-by":"publisher","first-page":"81","DOI":"10.3102\/003465430298487","volume":"77","author":"J Hattie","year":"2007","unstructured":"Hattie, J., Timperley, H.: The power of feedback. Rev. Educ. Res. 77(1), 81\u2013112 (2007)","journal-title":"Rev. Educ. Res."},{"key":"2_CR12","unstructured":"Huang, Q., He, H., Singh, A., Lim, S., Benson, A.R.: Combining label propagation and simple models out-performs graph neural networks. In: 9th International Conference on Learning Representations (2021)"},{"key":"2_CR13","doi-asserted-by":"publisher","unstructured":"Huang, Z., Liu, Z.: Hcgkt: hierarchical contrastive graph knowledge tracing with multi-level feature learning. In: International Conference on Artificial Intelligence in Education, pp. 274\u2013288. Springer, Heidelberg (2025). https:\/\/doi.org\/10.1007\/978-3-031-98420-4_20","DOI":"10.1007\/978-3-031-98420-4_20"},{"issue":"8","key":"2_CR14","doi-asserted-by":"publisher","first-page":"1163","DOI":"10.3758\/s13421-012-0226-0","volume":"40","author":"J Kantner","year":"2012","unstructured":"Kantner, J., Lindsay, D.S.: Response bias in recognition memory as a cognitive trait. Memory Cogn. 40(8), 1163\u20131177 (2012)","journal-title":"Memory Cogn."},{"key":"2_CR15","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. In: 5th International Conference on Learning Representations (2017)"},{"key":"2_CR16","doi-asserted-by":"publisher","unstructured":"Li, G., Chen, L., Tang, C., Deguchi, D., Yamashita, T., Shimada, A.: From reflections to motifs: a graph-based analysis of learners\u2019 knowledge construction. In: International Conference on Artificial Intelligence in Education, pp. 299\u2013307. Springer, Heidelberg (2025). https:\/\/doi.org\/10.1007\/978-3-031-98465-5_38","DOI":"10.1007\/978-3-031-98465-5_38"},{"key":"2_CR17","doi-asserted-by":"publisher","unstructured":"Li, G., et al.: Single-agent vs. multi-agent llm strategies for automated student reflection assessment. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 300\u2013311. Springer, Heidelberg (2025). https:\/\/doi.org\/10.1007\/978-981-96-8186-0_24","DOI":"10.1007\/978-981-96-8186-0_24"},{"key":"2_CR18","doi-asserted-by":"publisher","unstructured":"Li, G., Tang, C., Chen, L., Deguchi, D., Yamashita, T., Shimada, A.: LLM-driven ontology learning to augment student performance analysis in higher education. In: International Conference on Knowledge Science, Engineering and Management, pp. 57\u201368. Springer, Heidelberg (2024). https:\/\/doi.org\/10.1007\/978-981-97-5498-4_5","DOI":"10.1007\/978-981-97-5498-4_5"},{"key":"2_CR19","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1007\/s11858-019-01062-8","volume":"51","author":"K Lingel","year":"2019","unstructured":"Lingel, K., Lenhart, J., Schneider, W.: Metacognition in mathematics: do different metacognitive monitoring measures make a difference? ZDM 51, 587\u2013600 (2019)","journal-title":"ZDM"},{"key":"2_CR20","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1613\/jair.5002","volume":"55","author":"H Liu","year":"2016","unstructured":"Liu, H., Ma, W., Yang, Y., Carbonell, J.: Learning concept graphs from online educational data. J. Artif. Intell. Res. 55, 1059\u20131090 (2016)","journal-title":"J. Artif. Intell. Res."},{"issue":"1","key":"2_CR21","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1016\/j.concog.2011.09.021","volume":"21","author":"B Maniscalco","year":"2012","unstructured":"Maniscalco, B., Lau, H.: A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings. Conscious. Cogn. 21(1), 422\u2013430 (2012)","journal-title":"Conscious. Cogn."},{"key":"2_CR22","doi-asserted-by":"crossref","unstructured":"Meyer, L.P., et al.: Llm-assisted knowledge graph engineering: experiments with chatgpt. In: Working conference on Artificial Intelligence Development for a Resilient and Sustainable Tomorrow, pp. 103\u2013115. Springer, Fachmedien Wiesbaden Wiesbaden (2023)","DOI":"10.1007\/978-3-658-43705-3_8"},{"key":"2_CR23","doi-asserted-by":"crossref","unstructured":"Mousavinasab, E., et al.: Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods. Interact. Learn. Environ. 29(1), 142\u2013163 (2021)","DOI":"10.1080\/10494820.2018.1558257"},{"issue":"4","key":"2_CR24","first-page":"564","volume":"6","author":"TR Prokop","year":"2020","unstructured":"Prokop, T.R.: Calibration and academic performance in students of health sciences. Health Prof. Educ. 6(4), 564\u2013573 (2020)","journal-title":"Health Prof. Educ."},{"issue":"1","key":"2_CR25","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s11409-008-9031-3","volume":"4","author":"G Schraw","year":"2009","unstructured":"Schraw, G.: A conceptual analysis of five measures of metacognitive monitoring. Metacogn. Learn. 4(1), 33\u201345 (2009)","journal-title":"Metacogn. Learn."},{"issue":"4","key":"2_CR26","doi-asserted-by":"publisher","first-page":"80","DOI":"10.12738\/estp.2019.4.006","volume":"19","author":"FX Smith","year":"2019","unstructured":"Smith, F.X., Was, C.A.: Knowledge monitoring calibration: individual differences in sensitivity and specificity as predictors of academic achievement. Educ. Sci. Theory Pract. 19(4), 80\u201387 (2019)","journal-title":"Educ. Sci. Theory Pract."},{"issue":"2","key":"2_CR27","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1207\/s15516709cog1202_4","volume":"12","author":"J Sweller","year":"1988","unstructured":"Sweller, J.: Cognitive load during problem solving: effects on learning. Cogn. Sci. 12(2), 257\u2013285 (1988)","journal-title":"Cogn. Sci."},{"issue":"3","key":"2_CR28","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1207\/s15326985ep2003_3","volume":"20","author":"S Tobias","year":"1985","unstructured":"Tobias, S.: Test anxiety: interference, defective skills, and cognitive capacity. Educ. Psychol. 20(3), 135\u2013142 (1985)","journal-title":"Educ. Psychol."},{"key":"2_CR29","unstructured":"Tobias, S., Everson, H.: Assessing metacognitive knowledge monitoring. report no. 96-01. College Entrance Examination Board (1996)"},{"key":"2_CR30","unstructured":"Tobias, S., Everson, H.T.: The importance of knowing what you know: a knowledge monitoring framework for studying metacognition in education. In: Handbook of Metacognition in Education, pp. 107\u2013127. Routledge (2009)"},{"key":"2_CR31","unstructured":"Velickovic, P., Cucurull, G., Casanova, A., Romero, A., Li\u00f2, P., Bengio, Y.: Graph attention networks. In: 6th International Conference on Learning Representations (2018)"},{"key":"2_CR32","doi-asserted-by":"crossref","unstructured":"Wang, X., Ji, H., Shi, C., Wang, B., Ye, Y., Cui, P., Yu, P.S.: Heterogeneous graph attention network. In: The World Wide Web Conference, pp. 2022\u20132032. ACM (2019)","DOI":"10.1145\/3308558.3313562"},{"issue":"3","key":"2_CR33","doi-asserted-by":"publisher","first-page":"104","DOI":"10.5709\/acp-0161-y","volume":"10","author":"CA Was","year":"2014","unstructured":"Was, C.A.: Discrimination in measures of knowledge monitoring accuracy. Adv. Cogn. Psychol. 10(3), 104 (2014)","journal-title":"Adv. Cogn. Psychol."},{"key":"2_CR34","doi-asserted-by":"crossref","unstructured":"Yang, R., et\u00a0al.: Graphusion: a rag framework for scientific knowledge graph construction with a global perspective. In: Companion Proceedings of the ACM on Web Conference 2025, pp. 2579\u20132588 (2025)","DOI":"10.1145\/3701716.3717821"},{"key":"2_CR35","doi-asserted-by":"crossref","unstructured":"Zhang, J., Mo, Y., Chen, C., He, X.: Gkt-cd: make cognitive diagnosis model enhanced by graph-based knowledge tracing. In: 2021 International Joint conference on Neural Networks (IJCNN), pp. 1\u20138. IEEE (2021)","DOI":"10.1109\/IJCNN52387.2021.9533298"},{"issue":"2","key":"2_CR36","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1207\/s15430421tip4102_2","volume":"41","author":"BJ Zimmerman","year":"2002","unstructured":"Zimmerman, B.J.: Becoming a self-regulated learner: an overview. Theory Pract. 41(2), 64\u201370 (2002)","journal-title":"Theory Pract."}],"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\/978-3-032-29755-6_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T15:42:51Z","timestamp":1782315771000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-29755-6_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,25]]},"ISBN":["9783032297549","9783032297556"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-29755-6_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,25]]},"assertion":[{"value":"25 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"}}]}}