{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T03:32:07Z","timestamp":1772595127969,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T00:00:00Z","timestamp":1584057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","award":["FA8750-19-2-1006"],"award-info":[{"award-number":["FA8750-19-2-1006"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,3,23]]},"DOI":"10.1145\/3375462.3375541","type":"proceedings-article","created":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T17:48:06Z","timestamp":1584121686000},"page":"422-427","source":"Crossref","is-referenced-by-count":2,"title":["Applying prerequisite structure inference to adaptive testing"],"prefix":"10.1145","author":[{"given":"Sam","family":"Saarinen","sequence":"first","affiliation":[{"name":"Brown University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Evan","family":"Cater","sequence":"additional","affiliation":[{"name":"Brown University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael L.","family":"Littman","sequence":"additional","affiliation":[{"name":"Brown University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,3,13]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Towards the Identification of Propaedeutic Relations in Textbooks. In International Conference on Artificial Intelligence in Education. Springer, 1--13","author":"Adorni Giovanni","year":"2019"},{"key":"e_1_3_2_1_2_1","volume-title":"IMEA 2012","author":"Bayer Jaroslav","year":"2012"},{"key":"e_1_3_2_1_3_1","unstructured":"Anthony F Botelho Seth A Adjei and Neil T Heffernan. 2016. Modeling Interactions across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships. International Educational Data Mining Society (2016).  Anthony F Botelho Seth A Adjei and Neil T Heffernan. 2016. Modeling Interactions across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships. International Educational Data Mining Society (2016)."},{"key":"e_1_3_2_1_4_1","unstructured":"Emma Brunskill. 2011. Estimating Prerequisite Structure From Noisy Data.. In EDM. Citeseer 217--222.  Emma Brunskill. 2011. Estimating Prerequisite Structure From Noisy Data.. In EDM. Citeseer 217--222."},{"key":"e_1_3_2_1_5_1","first-page":"1","article-title":"Generating adaptive and non-adaptive test interfaces for multidimensional item response theory applications","volume":"71","author":"R Philip Chalmers","year":"2016","journal-title":"Journal of Statistical Software"},{"key":"e_1_3_2_1_6_1","unstructured":"Haw-Shiuan Chang Hwai-Jung Hsu and Kuan-Ta Chen. 2015. Modeling Exercise Relationships in E-Learning: A Unified Approach.. In EDM. 532--535.  Haw-Shiuan Chang Hwai-Jung Hsu and Kuan-Ta Chen. 2015. Modeling Exercise Relationships in E-Learning: A Unified Approach.. In EDM. 532--535."},{"key":"e_1_3_2_1_7_1","unstructured":"Yetian Chen Jos\u00e9 P Gonz\u00e1lez-Brenes and Jin Tian. 2016. Joint Discovery of Skill Prerequisite Graphs and Student Models. International Educational Data Mining Society (2016).  Yetian Chen Jos\u00e9 P Gonz\u00e1lez-Brenes and Jin Tian. 2016. Joint Discovery of Skill Prerequisite Graphs and Student Models. International Educational Data Mining Society (2016)."},{"key":"e_1_3_2_1_8_1","unstructured":"Yang Chen Pierre-Henr Wuillemin and Jean-Marc Labat. 2015. Discovering Prerequisite Structure of Skills through Probabilistic Association Rules Mining. International Educational Data Mining Society (2015).  Yang Chen Pierre-Henr Wuillemin and Jean-Marc Labat. 2015. Discovering Prerequisite Structure of Skills through Probabilistic Association Rules Mining. International Educational Data Mining Society (2015)."},{"key":"e_1_3_2_1_9_1","volume-title":"4th international conference on educational data mining, EDM. 41--50","author":"Michel"},{"key":"e_1_3_2_1_10_1","unstructured":"Soo-Yun Han Jiyoung Yoon and Yun Joo Yoo. 2017. Discovering skill prerequisite structure through Bayesian estimation and nested model comparison.. In EDM.  Soo-Yun Han Jiyoung Yoon and Yun Joo Yoo. 2017. Discovering skill prerequisite structure through Bayesian estimation and nested model comparison.. In EDM."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/BESC.2017.8357663"},{"key":"e_1_3_2_1_12_1","volume-title":"7th international conference of education, research and innovation (ICERI2014 proceedings). IATED","author":"Lynch Danny","year":"2014"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00156"},{"key":"e_1_3_2_1_14_1","unstructured":"Chris Piech Jonathan Bassen Jonathan Huang Surya Ganguli Mehran Sahami Leonidas Guibas and Jascha Sohl-Dickstein. 2015. Deep knowledge tracing. Advances in Neural Information Processing Systems 2015-Janua (2015) 505--513.  Chris Piech Jonathan Bassen Jonathan Huang Surya Ganguli Mehran Sahami Leonidas Guibas and Jascha Sohl-Dickstein. 2015. Deep knowledge tracing. Advances in Neural Information Processing Systems 2015-Janua (2015) 505--513."},{"key":"e_1_3_2_1_15_1","first-page":"403","article-title":"Student Skill Models in Adaptive Testing","volume":"52","author":"Plajner Martin","year":"2016","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_16_1","unstructured":"Martin Plajner. 2017. Probabilistic Models for Computerized Adaptive Testing. (2017). arXiv:1703.09794 http:\/\/arxiv.org\/abs\/1703.09794  Martin Plajner. 2017. Probabilistic Models for Computerized Adaptive Testing. (2017). arXiv:1703.09794 http:\/\/arxiv.org\/abs\/1703.09794"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287324.3287504"},{"key":"e_1_3_2_1_18_1","unstructured":"Jill Jenn Vie. 2016. Adaptive Testing Using a General Diagnostic Model. 2 (2016) 640--643. 10.1007\/978-3-319-45153-4  Jill Jenn Vie. 2016. Adaptive Testing Using a General Diagnostic Model. 2 (2016) 640--643. 10.1007\/978-3-319-45153-4"},{"key":"e_1_3_2_1_19_1","unstructured":"Jill-J\u00eann Vie. 2018. Deep Factorization Machines for Knowledge Tracing. (2018) 370--373. arXiv:arXiv:1811.03388v2 10.18653\/v1\/w18-0545  Jill-J\u00eann Vie. 2018. Deep Factorization Machines for Knowledge Tracing. (2018) 370--373. arXiv:arXiv:1811.03388v2 10.18653\/v1\/w18-0545"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1037\/0022-006X.53.6.774"},{"key":"e_1_3_2_1_21_1","volume-title":"Twenty-Fourth International Joint Conference on Artificial Intelligence.","author":"Wu Runze","year":"2015"}],"event":{"name":"LAK '20: 10th International Conference on Learning Analytics and Knowledge","location":"Frankfurt Germany","acronym":"LAK '20"},"container-title":["Proceedings of the Tenth International Conference on Learning Analytics &amp; Knowledge"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3375462.3375541","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3375462.3375541","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3375462.3375541","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3375462.3375541","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:44:31Z","timestamp":1750203871000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3375462.3375541"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,13]]},"references-count":21,"alternative-id":["10.1145\/3375462.3375541","10.1145\/3375462"],"URL":"https:\/\/doi.org\/10.1145\/3375462.3375541","relation":{},"subject":[],"published":{"date-parts":[[2020,3,13]]}}}