{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T17:29:00Z","timestamp":1790875740990,"version":"4.1.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,3,13]],"date-time":"2023-03-13T00:00:00Z","timestamp":1678665600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"OBVIA","award":["268938"],"award-info":[{"award-number":["268938"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,3,13]]},"DOI":"10.1145\/3576050.3576146","type":"proceedings-article","created":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T23:18:46Z","timestamp":1677021526000},"page":"592-598","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Cluster-Based Performance of Student Dropout Prediction as a Solution for Large Scale Models in a Moodle LMS"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6251-0653","authenticated-orcid":false,"given":"Louis-Vincent","family":"Poellhuber","sequence":"first","affiliation":[{"name":"Universite de Montreal, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1760-2692","authenticated-orcid":false,"given":"Bruno","family":"Poellhuber","sequence":"additional","affiliation":[{"name":"Universite de Montreal, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2990-1078","authenticated-orcid":false,"given":"Michel","family":"Desmarais","sequence":"additional","affiliation":[{"name":"Polytechnique Montreal, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3359-5285","authenticated-orcid":false,"given":"Christian","family":"Leger","sequence":"additional","affiliation":[{"name":"Universite de Montreal, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0370-5236","authenticated-orcid":false,"given":"Normand","family":"Roy","sequence":"additional","affiliation":[{"name":"Universite de Montreal, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9401-905X","authenticated-orcid":false,"given":"Mathieu","family":"Manh-Chien Vu","sequence":"additional","affiliation":[{"name":"Cegep a distance, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,3,13]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the 2nd international conference on learning analytics and knowledge, 267\u2013270","author":"Kimberly","unstructured":"Kimberly E. Arnold and Matthew D. Pistilli. 2012. Course signals at Purdue: Using learning analytics to increase student success. In Proceedings of the 2nd international conference on learning analytics and knowledge, 267\u2013270."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10758-014-9223-7"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610927408827101"},{"key":"e_1_3_2_1_4_1","volume-title":"Educational Data Mining","author":"Desmarais Michel","year":"2013","unstructured":"Michel Desmarais and Fran\u00e7ois Lemieux. 2013. Clustering and visualizing study state sequences. In Educational Data Mining 2013."},{"key":"e_1_3_2_1_5_1","volume-title":"A systematic meta-review and analysis of learning analytics research. Behaviour & information technology 40, 1","author":"Du Xu","year":"2021","unstructured":"Xu Du, Juan Yang, Brett E. Shelton, Jui-Long Hung, and Mingyan Zhang. 2021. A systematic meta-review and analysis of learning analytics research. Behaviour & information technology 40, 1 (2021), 49\u201362."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.3102\/00346543074001059"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1515\/comp-2020-0153"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11423-020-09788-z"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18608\/jla.2014.11.3"},{"key":"e_1_3_2_1_10_1","unstructured":"Dr Nicole Johnson. 2021. 2021 National Report: Lessons from the COVID-19 pandemic. (2021) 21."},{"key":"e_1_3_2_1_11_1","volume-title":"Denise Sutter Widmer, and Pierre-Andr\u00e9 Caron","author":"Molinari Ga\u00eblle","year":"2016","unstructured":"Ga\u00eblle Molinari, Bruno Poellhuber, Jean Heutte, Elise Lavou\u00e9, Denise Sutter Widmer, and Pierre-Andr\u00e9 Caron. 2016. L'engagement et la persistance dans les dispositifs de formation en ligne: regards crois\u00e9s. Distances et m\u00e9diations des savoirs. Distance and Mediation of Knowledge 13 (2016)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1081\/BIP-200025650"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.19173\/irrodl.v20i1.3709"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.3390\/molecules26041111"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Silhouettes Rousseeuw. A graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics 20 53.","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"e_1_3_2_1_16_1","article-title":"Binary cross entropy with deep learning technique for image classification","volume":"9","author":"Ruby Usha","year":"2020","unstructured":"Usha Ruby and Vamsidhar Yendapalli. 2020. Binary cross entropy with deep learning technique for image classification. Int. J. Adv. Trends Comput. Sci. Eng 9, 10 (2020).","journal-title":"Int. J. Adv. Trends Comput. Sci. Eng"},{"key":"e_1_3_2_1_17_1","volume-title":"Learning analytics in higher education","author":"Sclater Niall","year":"2017","unstructured":"Niall Sclater, Alice Peasgood, and Joel Mullan. 2016. Learning analytics in higher education. London: Jisc. Accessed February 8, 2017 (2016), 176."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA49011.2020.00096"},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of the 2Nd International Conference on Learning Analytics and Knowledge","author":"Siemens George","year":"2011","unstructured":"George Siemens, Dragan Gasevic, Caroline Haythornthwaite, Shane Dawson, S. Buckingham Shum, Rebecca Ferguson, Erik Duval, Katrien Verbert, and RSJD Baker. 2011. Open Learning Analytics: an integrated & modularized platform. In Proceedings of the 2Nd International Conference on Learning Analytics and Knowledge, Open University Press Maidenhead, Vancouver, 252\u2013254."},{"key":"e_1_3_2_1_20_1","volume-title":"A critical look at the current train\/test split in machine learning. arXiv preprint arXiv:2106.04525","author":"Tan Jimin","year":"2021","unstructured":"Jimin Tan, Jianan Yang, Sai Wu, Gang Chen, and Jake Zhao. 2021. A critical look at the current train\/test split in machine learning. arXiv preprint arXiv:2106.04525 (2021)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3126973.3126990"}],"event":{"name":"LAK 2023: 13th International Learning Analytics and Knowledge Conference","location":"Arlington TX USA","acronym":"LAK 2023"},"container-title":["LAK23: 13th International Learning Analytics and Knowledge Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3576050.3576146","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3576050.3576146","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:03Z","timestamp":1750183743000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3576050.3576146"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,13]]},"references-count":21,"alternative-id":["10.1145\/3576050.3576146","10.1145\/3576050"],"URL":"https:\/\/doi.org\/10.1145\/3576050.3576146","relation":{},"subject":[],"published":{"date-parts":[[2023,3,13]]},"assertion":[{"value":"2023-03-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}