{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T20:07:27Z","timestamp":1779912447039,"version":"3.53.1"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819698745","type":"print"},{"value":"9789819698752","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-9875-2_17","type":"book-chapter","created":{"date-parts":[[2025,7,21]],"date-time":"2025-07-21T09:22:18Z","timestamp":1753089738000},"page":"194-205","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["BFKT: Enhancing Knowledge Tracing Based on Forgetting Mechanisms and Multi-feature Fusion"],"prefix":"10.1007","author":[{"given":"Chenxiao","family":"Jia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuai","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangyu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,22]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Carbonell J. R.: AI in CAI: An artificial-intelligence approach to computer-assisted instruction. IEEE Transactions on Man-Machine Systems, vol. 11, pp. 190\u2013202(1970)","DOI":"10.1109\/TMMS.1970.299942"},{"key":"17_CR2","unstructured":"Piech, C., Bassen, J., Huang, J., et al.: Deep knowledge tracing. In: Advances in Neural Information Processing Systems (NIPS), pp. 505\u2013513 (2015)"},{"key":"17_CR3","doi-asserted-by":"crossref","unstructured":"Corbett, A.T., Anderson, J.R.: Knowledge tracing: modeling the acquisition of procedural knowledge. In: User Modeling and User-Adapted Interaction, vol. 4, pp. 253\u2013278 (1994)","DOI":"10.1007\/BF01099821"},{"key":"17_CR4","doi-asserted-by":"crossref","unstructured":"Cen, H., Koedinger, K., Junker, B.: Learning factors analysis--a general method for cognitive model evaluation and improvement. In: Intelligent Tutoring Systems (ITS), pp. 164\u2013175 (2006)","DOI":"10.1007\/11774303_17"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Long, T., Liu, Y., Shen, J., et al.: 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 (SIGIR), pp. 173\u2013182 (2021)","DOI":"10.1145\/3404835.3462827"},{"key":"17_CR6","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1109\/TLT.2017.2689017","volume":"10","author":"T Kaser","year":"2017","unstructured":"Kaser, T., Klingler, S., Schwing, A.G., et al.: Dynamic Bayesian networks for student modeling. IEEE Trans. Learn. Technol. 10, 450\u2013462 (2017)","journal-title":"IEEE Trans. Learn. Technol."},{"key":"17_CR7","unstructured":"Pavlik, P.I., Cen, H., Koedinger, K.R.: Performance factors analysis--a new alternative to knowledge tracing. In: Artificial Intelligence in Education (AIED), pp. 531\u2013538 (2009)"},{"key":"17_CR8","unstructured":"Chi, M., Koedinger, K.R., Gordon, G.J., et al.: Instructional factors analysis: a cognitive model for multiple instructional interventions. In: Educational Data Mining (EDM), pp. 61\u201370 (2011)"},{"key":"17_CR9","unstructured":"Devlin, J., Chang, M.-W., Lee, K., et al.: BERT: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pp. 4171\u20134186. Association for Computational Linguistics (2019)"},{"key":"17_CR10","doi-asserted-by":"crossref","unstructured":"Lee, U., Park, Y., Kim, Y., et al.: Monacobert: monotonic attention based ConvBERT for knowledge tracing. In: Intelligent Tutoring Systems (ITS), vol. 2, pp. 107\u2013123 (2024)","DOI":"10.1007\/978-3-031-63031-6_10"},{"key":"17_CR11","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 5th Learning at Scale Conference (L@S) (2018)","DOI":"10.1145\/3231644.3231647"},{"key":"17_CR12","doi-asserted-by":"crossref","unstructured":"Nagatani, K., Zhang, Q., Sato, M., et al.: Augmenting knowledge tracing by considering forgetting behavior. In: The World Wide Web Conference (WWW), pp. 3101\u20133107 (2019)","DOI":"10.1145\/3308558.3313565"},{"key":"17_CR13","unstructured":"Pandey, S., Karypis, G.: A Self-Attentive Model for Knowledge Tracing (2019). arXiv preprint arXiv:1907.06837"},{"key":"17_CR14","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 & Data Mining (KDD), pp. 2330\u20132339 (2020)","DOI":"10.1145\/3394486.3403282"},{"key":"17_CR15","doi-asserted-by":"crossref","unstructured":"Zhang, J., Shi, X., King, I., et al.: Dynamic key-value memory networks for knowledge tracing. In: The World Wide Web Conference (WWW), pp. 765\u2013774 (2017)","DOI":"10.1145\/3038912.3052580"},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"Cho, K., van Merrienboer, B., G\u00fcl\u00e7ehre, \u00c7.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1724\u20131734 (2014)","DOI":"10.3115\/v1\/D14-1179"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-9875-2_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T19:46:18Z","timestamp":1779911178000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-9875-2_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819698745","9789819698752"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-9875-2_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"22 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}