{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T15:14:49Z","timestamp":1779117289418,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,4,12]],"date-time":"2017-04-12T00:00:00Z","timestamp":1491955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,4,12]]},"DOI":"10.1145\/3051457.3053985","type":"proceedings-article","created":{"date-parts":[[2017,4,14]],"date-time":"2017-04-14T12:18:54Z","timestamp":1492172334000},"page":"201-204","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":100,"title":["Deep Knowledge Tracing On Programming Exercises"],"prefix":"10.1145","author":[{"given":"Lisa","family":"Wang","sequence":"first","affiliation":[{"name":"Stanford University, Stanford, CA, USA"}]},{"given":"Angela","family":"Sy","sequence":"additional","affiliation":[{"name":"Stanford University, Stanford, CA, USA"}]},{"given":"Larry","family":"Liu","sequence":"additional","affiliation":[{"name":"Stanford University, Stanford, CA, USA"}]},{"given":"Chris","family":"Piech","sequence":"additional","affiliation":[{"name":"Stanford University, Stanford, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2017,4,12]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Miltiadis Allamanis Hao Peng and Charles Sutton. 2016. A Convolutional Attention Network for Extreme Summarization of Source Code. arXiv preprint arXiv:1602.03001 (2016).  Miltiadis Allamanis Hao Peng and Charles Sutton. 2016. A Convolutional Attention Network for Extreme Summarization of Source Code. arXiv preprint arXiv:1602.03001 (2016)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Albert T Corbett and John R Anderson. 1994. Knowledge tracing: Modeling the acquisition of procedural knowledge. User modeling and user-adapted interaction 4 4 (1994) 253--278.  Albert T Corbett and John R Anderson. 1994. Knowledge tracing: Modeling the acquisition of procedural knowledge. User modeling and user-adapted interaction 4 4 (1994) 253--278.","DOI":"10.1007\/BF01099821"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_6_1","unstructured":"Mohammad Khajah Robert V Lindsey and Michael C Mozer. 2016. How deep is knowledge tracing? arXiv preprint arXiv:1604.02416 (2016).  Mohammad Khajah Robert V Lindsey and Michael C Mozer. 2016. How deep is knowledge tracing? arXiv preprint arXiv:1604.02416 (2016)."},{"key":"e_1_3_2_1_7_1","unstructured":"Tomas Mikolov Kai Chen Greg Corrado and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013).  Tomas Mikolov Kai Chen Greg Corrado and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/3015812.3016002"},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of the 28th international conference on machine learning (ICML-11)","author":"Ngiam Jiquan","year":"2011"},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the 9th International Conference on Educational Data Mining.","author":"Paa\u00dfen Benjamin","year":"2016"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13470-8_24"},{"key":"e_1_3_2_1_12_1","unstructured":"Chris Piech Jonathan Bassen Jonathan Huang Surya Ganguli Mehran Sahami Leonidas J Guibas and Jascha Sohl-Dickstein. 2015a. Deep knowledge tracing. In Advances in Neural Information Processing Systems. 505--513.  Chris Piech Jonathan Bassen Jonathan Huang Surya Ganguli Mehran Sahami Leonidas J Guibas and Jascha Sohl-Dickstein. 2015a. Deep knowledge tracing. In Advances in Neural Information Processing Systems. 505--513."},{"key":"e_1_3_2_1_13_1","volume":"2015","author":"Piech Chris","journal-title":"Leonidas J Guibas."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2724660.2724668"},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the conference on empirical methods in natural language processing (EMNLP)","volume":"1631","author":"Socher Richard","year":"2013"},{"key":"e_1_3_2_1_16_1","unstructured":"Kevin H Wilson Yan Karklin Bojian Han and Chaitanya Ekanadham. 2016. Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation. arXiv preprint arXiv:1604.02336 (2016).  Kevin H Wilson Yan Karklin Bojian Han and Chaitanya Ekanadham. 2016. Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation. arXiv preprint arXiv:1604.02336 (2016)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39112-5_18"}],"event":{"name":"L@S 2017: Fourth (2017) ACM Conference on Learning @ Scale","location":"Cambridge Massachusetts USA","acronym":"L@S 2017","sponsor":["ACM Association for Computing Machinery"]},"container-title":["Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3051457.3053985","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3051457.3053985","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:54:40Z","timestamp":1750222480000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3051457.3053985"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,12]]},"references-count":17,"alternative-id":["10.1145\/3051457.3053985","10.1145\/3051457"],"URL":"https:\/\/doi.org\/10.1145\/3051457.3053985","relation":{},"subject":[],"published":{"date-parts":[[2017,4,12]]},"assertion":[{"value":"2017-04-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}