{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T13:02:53Z","timestamp":1769346173258,"version":"3.49.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9746810","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T19:50:34Z","timestamp":1651089034000},"page":"3993-3997","source":"Crossref","is-referenced-by-count":5,"title":["Incremental Context Aware Attentive Knowledge Tracing"],"prefix":"10.1109","author":[{"given":"Cheryl Sze","family":"Yin Wong","sequence":"first","affiliation":[{"name":"A-STAR,Institute for Infocomm Research (I2R),Singapore,138632"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guo","family":"Yang","sequence":"additional","affiliation":[{"name":"A-STAR,Institute for Infocomm Research (I2R),Singapore,138632"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nancy F.","family":"Chen","sequence":"additional","affiliation":[{"name":"A-STAR,Institute for Infocomm Research (I2R),Singapore,138632"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramasamy","family":"Savitha","sequence":"additional","affiliation":[{"name":"A-STAR,Institute for Infocomm Research (I2R),Singapore,138632"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Dynamic key-value memory network for knowledge tracing","author":"zhang","year":"2016","journal-title":"CoRR"},{"key":"ref11","article-title":"A self-attentive model for knowledge tracing","author":"pandey","year":"2019","journal-title":"CoRR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.07.021"},{"key":"ref13","article-title":"Continual learning: A comparative study on how to defy forgetting in classification tasks","author":"lange","year":"2019","journal-title":"CoRR"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00040"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-17866-2"},{"key":"ref16","author":"rasch","year":"1993","journal-title":"Probabilistic models for some intelligence and attainment tests"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"3521","DOI":"10.1073\/pnas.1611835114","article-title":"Overcoming catastrophic forgetting in neural networks","volume":"114","author":"kirkpatrick","year":"2017","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"ref18","article-title":"Assistments dataset for a data mining competition to improve personalized learning","author":"patikorn","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623631"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.4324\/9780203056615"},{"key":"ref6","article-title":"DAS3H: modeling student learning and&#x02C6; forgetting for optimally scheduling distributed practice of skills","author":"choffin","year":"2019","journal-title":"CoRR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/11774303_17"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403282"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1177\/0956797613504302"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39112-5_18"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13470-8_24"},{"key":"ref9","article-title":"Deep knowledge tracing","volume":"28","author":"piech","year":"2015","journal-title":"Advances in neural information processing systems"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Singapore, Singapore","start":{"date-parts":[[2022,5,23]]},"end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09746810.pdf?arnumber=9746810","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T20:06:25Z","timestamp":1660593985000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9746810\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9746810","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}