{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T10:03:23Z","timestamp":1775815403639,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":31,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819757787","type":"print"},{"value":"9789819757794","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\/978-981-97-5779-4_7","type":"book-chapter","created":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T07:16:06Z","timestamp":1736493366000},"page":"99-114","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Modeling Learning Transfer Effects in Knowledge Tracing: A Dynamic and Bidirectional Perspective"],"prefix":"10.1007","author":[{"given":"Weizhe","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuanghong","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenya","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junyu","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,1,11]]},"reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Abdelrahman, G., Wang, Q., Nunes, B.: Knowledge tracing: A survey. ACM Computing Surveys 55(11), 1\u201337 (2023)","DOI":"10.1145\/3569576"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Anderson, A., Huttenlocher, D., Kleinberg, J., Leskovec, J.: Engaging with massive online courses. In: Proceedings of the 23rd international conference on World wide web. pp. 687\u2013698 (2014)","DOI":"10.1145\/2566486.2568042"},{"key":"7_CR3","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. arXiv preprint arXiv:2302.06885 (2023)","DOI":"10.1609\/aaai.v37i12.26661"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Gentner, D., Loewenstein, J., Thompson, L.: Learning and transfer: A general role for analogical encoding. Journal of educational psychology 95(2), \u00a0393 (2003)","DOI":"10.1037\/0022-0663.95.2.393"},{"key":"7_CR5","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. pp. 2330\u20132339 (2020)","DOI":"10.1145\/3394486.3403282"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Hadi, H., Neviyarni, S.: The processes of memory, forgetting, and transfer and their implications in the learning and learning process: A literature review. International Journal of Educational Dynamics 5(1), 124\u2013130 (2022)","DOI":"10.24036\/ijeds.v5i1.375"},{"key":"7_CR7","unstructured":"Hohensee, C., Gartland, S., Willoughby, L.: Backward transfer effects on action and process views of functions. In: Proceedings of the Forty-First Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (2019)"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Huang, Z., Liu, Q., Zhai, C., Yin, Y., Chen, E., Gao, W., Hu, G.: Exploring multi-objective exercise recommendations in online education systems. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management. pp. 1261\u20131270 (2019)","DOI":"10.1145\/3357384.3357995"},{"key":"7_CR9","doi-asserted-by":"crossref","unstructured":"Liu, Q., Huang, Z., Yin, Y., Chen, E., Xiong, H., Su, Y., Hu, G.: Ekt: Exercise-aware knowledge tracing for student performance prediction. IEEE Transactions on Knowledge and Data Engineering 33(1), 100\u2013115 (2019)","DOI":"10.1109\/TKDE.2019.2924374"},{"key":"7_CR10","unstructured":"Liu, Q., Shen, S., Huang, Z., Chen, E., Zheng, Y.: A survey of knowledge tracing. arXiv preprint arXiv:2105.15106 (2021)"},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"Liu, Q., Tong, S., Liu, C., Zhao, H., Chen, E., Ma, H., Wang, S.: Exploiting cognitive structure for adaptive learning. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. pp. 627\u2013635 (2019)","DOI":"10.1145\/3292500.3330922"},{"key":"7_CR12","doi-asserted-by":"crossref","unstructured":"Liu, Z., Liu, Q., Chen, J., Huang, S., Gao, B., Luo, W., Weng, J.: Enhancing deep knowledge tracing with auxiliary tasks. In: Proceedings of the ACM Web Conference 2023. pp. 4178\u20134187 (2023)","DOI":"10.1145\/3543507.3583866"},{"key":"7_CR13","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. Advances in Neural Information Processing Systems 35, 18542\u201318555 (2022)"},{"key":"7_CR14","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":"7_CR15","unstructured":"Loomis, L.H.: Introduction to abstract harmonic analysis. Courier Corporation (2013)"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Ma, H., Wang, J., Zhu, H., Xia, X., Zhang, H., Zhang, X., Zhang, L.: Reconciling cognitive modeling with knowledge forgetting: A continuous time-aware neural network approach. In: Proceedings of the 31st International Joint Conference on Artificial Intelligence. pp. 2174\u20132181 (2022)","DOI":"10.24963\/ijcai.2022\/302"},{"key":"7_CR17","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":"7_CR18","unstructured":"Pandey, S., Karypis, G.: A self-attentive model for knowledge tracing. arXiv preprint arXiv:1907.06837 (2019)"},{"key":"7_CR19","doi-asserted-by":"crossref","unstructured":"Pavlenko, A., Jarvis, S.: Bidirectional transfer. Applied linguistics 23(2), 190\u2013214 (2002)","DOI":"10.1093\/applin\/23.2.190"},{"key":"7_CR20","unstructured":"Perkins, D.N., Salomon, G., et\u00a0al.: Transfer of learning. International encyclopedia of education 2, 6452\u20136457 (1992)"},{"key":"7_CR21","unstructured":"Piech, C., Bassen, J., Huang, J., Ganguli, S., Sahami, M., Guibas, L.J., Sohl-Dickstein, J.: Deep knowledge tracing. Advances in neural information processing systems 28 (2015)"},{"key":"7_CR22","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":"7_CR23","doi-asserted-by":"crossref","unstructured":"Shen, S., Liu, Q., Chen, E., Huang, Z., Huang, W., Yin, Y., Su, Y., Wang, S.: Learning process-consistent knowledge tracing. In: Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining. pp. 1452\u20131460 (2021)","DOI":"10.1145\/3447548.3467237"},{"key":"7_CR24","doi-asserted-by":"crossref","unstructured":"Tong, S., Liu, Q., Huang, W., Hunag, Z., Chen, E., Liu, C., Ma, H., Wang, S.: Structure-based knowledge tracing: An influence propagation view. In: 2020 IEEE international conference on data mining (ICDM). pp. 541\u2013550. IEEE (2020)","DOI":"10.1109\/ICDM50108.2020.00063"},{"key":"7_CR25","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141., Polosukhin, I.: Attention is all you need. Advances in neural information processing systems 30 (2017)"},{"key":"7_CR26","unstructured":"Wang, Z., Lamb, A., Saveliev, E., Cameron, P., Zaykov, Y., Hern\u00e1ndez-Lobato, J.M., Turner, R.E., Baraniuk, R.G., Barton, C., Jones, S.P., et\u00a0al.: Instructions and guide for diagnostic questions: The neurips 2020 education challenge. arXiv preprint arXiv:2007.12061 (2020)"},{"key":"7_CR27","doi-asserted-by":"crossref","unstructured":"Xu, B., Huang, Z., Liu, J., Shen, S., Liu, Q., Chen, E., Wu, J., Wang, S.: Learning behavior-oriented knowledge tracing. In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. pp. 2789\u20132800 (2023)","DOI":"10.1145\/3580305.3599407"},{"key":"7_CR28","unstructured":"Xu, D., Ruan, C., Korpeoglu, E., Kumar, S., Achan, K.: Inductive representation learning on temporal graphs. arXiv preprint arXiv:2002.07962 (2020)"},{"key":"7_CR29","doi-asserted-by":"crossref","unstructured":"Yang, C., Chew, S.J., Sun, B., Shanks, D.R.: The forward effects of testing transfer to different domains of learning. Journal of Educational Psychology 111(5), \u00a0809 (2019)","DOI":"10.1037\/edu0000320"},{"key":"7_CR30","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, AIED 2013, Memphis, TN, USA, July 9-13, 2013. Proceedings 16. pp. 171\u2013180. Springer (2013)","DOI":"10.1007\/978-3-642-39112-5_18"},{"key":"7_CR31","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","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5779-4_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T08:05:15Z","timestamp":1736496315000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5779-4_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819757787","9789819757794"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5779-4_7","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":"11 January 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gifu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2024a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dasfaa2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}