{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T15:32:15Z","timestamp":1766158335505,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030232061"},{"type":"electronic","value":"9783030232078"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-23207-8_56","type":"book-chapter","created":{"date-parts":[[2019,6,20]],"date-time":"2019-06-20T18:17:34Z","timestamp":1561054654000},"page":"303-308","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Deep Knowledge Tracing with Side Information"],"prefix":"10.1007","author":[{"given":"Zhiwei","family":"Wang","sequence":"first","affiliation":[]},{"given":"Xiaoqin","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Jiliang","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Gale Yan","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Zitao","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,21]]},"reference":[{"key":"56_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1007\/978-3-540-69132-7_44","volume-title":"Intelligent Tutoring Systems","author":"RSJ Baker","year":"2008","unstructured":"Baker, R.S.J., Corbett, A.T., Aleven, V.: More accurate student modeling through contextual estimation of slip and guess probabilities in bayesian knowledge tracing. In: Woolf, B.P., A\u00efmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 406\u2013415. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-69132-7_44"},{"key":"56_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/978-3-642-22362-4_2","volume-title":"User Modeling, Adaption and Personalization","author":"RSJ Baker","year":"2011","unstructured":"Baker, R.S.J., Pardos, Z.A., Gowda, S.M., Nooraei, B.B., Heffernan, N.T.: Ensembling predictions of student knowledge within intelligent tutoring systems. In: Konstan, J.A., Conejo, R., Marzo, J.L., Oliver, N. (eds.) UMAP 2011. LNCS, vol. 6787, pp. 13\u201324. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-22362-4_2"},{"issue":"18","key":"56_CR3","doi-asserted-by":"publisher","first-page":"7641","DOI":"10.1073\/pnas.1018985108","volume":"108","author":"DS Bassett","year":"2011","unstructured":"Bassett, D.S., Porter, M.A., Mucha, P.J., Carlson, J.M., Grafton, S.T.: Dynamicreconfiguration of human brain networks during learning. PNAS 108(18), 7641\u20137646 (2011)","journal-title":"PNAS"},{"issue":"2","key":"56_CR4","first-page":"66","volume":"48","author":"RN Caine","year":"1990","unstructured":"Caine, R.N., Caine, G.: Understanding a brain-based approach to learning and teaching. Educ. Leadersh. 48(2), 66\u201370 (1990)","journal-title":"Educ. Leadersh."},{"key":"56_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1007\/11774303_17","volume-title":"Intelligent Tutoring Systems","author":"H Cen","year":"2006","unstructured":"Cen, H., Koedinger, K., Junker, B.: Learning factors analysis \u2013 a general method for cognitive model evaluation and improvement. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 164\u2013175. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11774303_17"},{"key":"56_CR6","doi-asserted-by":"crossref","unstructured":"Cho, K., et al.: Learning phrase representations using rnn encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014)","DOI":"10.3115\/v1\/D14-1179"},{"issue":"4","key":"56_CR7","first-page":"4","volume":"278","author":"AT Corbett","year":"1994","unstructured":"Corbett, A.T., Anderson, J.R.: Knowledge tracing: modeling the acquisition ofprocedural knowledge. User Model. User-Adap. Inter. 278(4), 4\u2013253 (1994)","journal-title":"User Model. User-Adap. Inter."},{"issue":"7","key":"56_CR8","first-page":"674","volume":"78","author":"RM Felder","year":"1988","unstructured":"Felder, R.M., Silverman, L.K., et al.: Learning and teaching styles in engineering education. Eng. Educ. 78(7), 674\u2013681 (1988)","journal-title":"Eng. Educ."},{"key":"56_CR9","doi-asserted-by":"crossref","unstructured":"Grover, A., Leskovec, J.: node2vec: Scalable feature learning for networks. In: KDD (2016)","DOI":"10.1145\/2939672.2939754"},{"key":"56_CR10","doi-asserted-by":"crossref","unstructured":"Hilgard, E.R.: Theories of learning (1948)","DOI":"10.1037\/10757-000"},{"issue":"8","key":"56_CR11","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"56_CR12","unstructured":"Piech, C., et al.: Deep knowledge tracing. In: NIPS (2015)"},{"key":"56_CR13","doi-asserted-by":"crossref","unstructured":"Tang, J., Qu, M., Wang, M., Zhang, M., Yan, J., Mei, Q.: Line: Large-scale information network embedding. In: WWW (2015)","DOI":"10.1145\/2736277.2741093"},{"key":"56_CR14","doi-asserted-by":"crossref","unstructured":"Wang, L., Sy, A., Liu, L., Piech, C.: Deep knowledge tracing on programming exercises. In: L@S (2017)","DOI":"10.1145\/3051457.3053985"},{"key":"56_CR15","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/978-3-642-39112-5_18","volume-title":"Artificial Intelligence in Education","author":"MV Yudelson","year":"2013","unstructured":"Yudelson, M.V., Koedinger, K.R., Gordon, G.J.: Individualized bayesian knowledge tracing models. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds.) AIED 2013. LNCS (LNAI), vol. 7926, pp. 171\u2013180. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-39112-5_18"},{"key":"56_CR16","doi-asserted-by":"crossref","unstructured":"Zhang, J., Shi, X., King, I., Yeung, D.Y.: Dynamic key-value memory networks for knowledge tracing. In: WWW (2017)","DOI":"10.1145\/3038912.3052580"}],"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\/978-3-030-23207-8_56","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:42:52Z","timestamp":1709833372000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-23207-8_56"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030232061","9783030232078"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-23207-8_56","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"21 June 2019","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":"Chicago, IL","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/caed-lab.com\/aied2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}