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With this data, they developed, evaluated, and compared predictive models using four algorithms: Decision Tree (CART), Logistic Regression, SVM, and Na\u00efve Bayes. The Logistic Regression model yielded the best results in predicting students' academic performance, being able to do so with an accuracy rate of 0.893 and an area under the ROC curve of 0.9574. Finally, they conceived and implemented a dashboard-like interface intended to present the predictions in a user-friendly way to tutors and teachers, so they could use it as a tool to help monitor their students' learning process.<\/jats:p>","DOI":"10.4018\/ijdet.2019070104","type":"journal-article","created":{"date-parts":[[2019,4,29]],"date-time":"2019-04-29T14:31:06Z","timestamp":1556548266000},"page":"52-74","source":"Crossref","is-referenced-by-count":18,"title":["Forecasting Students' Performance Through Self-Regulated Learning Behavioral Analysis"],"prefix":"10.4018","volume":"17","author":[{"given":"Rodrigo Lins","family":"Rodrigues","sequence":"first","affiliation":[{"name":"Universidade Federal Rural de Pernambuco, Recife, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jorge Luis Cavalcanti","family":"Ramos","sequence":"additional","affiliation":[{"name":"Universidade Federal do Vale do S\u00e3o Francisco, Petrolina, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jo\u00e3o Carlos Sedraz","family":"Silva","sequence":"additional","affiliation":[{"name":"Universidade Federal do Vale do S\u00e3o Francisco, Petrolina, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raphael A.","family":"Dourado","sequence":"additional","affiliation":[{"name":"Universidade Federal de Pernambuco, Recife, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1499-8011","authenticated-orcid":true,"given":"Alex Sandro","family":"Gomes","sequence":"additional","affiliation":[{"name":"Universidade Federal de Pernambuco, Recife, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJDET.2019070104-0","doi-asserted-by":"publisher","DOI":"10.1177\/0735633115603989"},{"key":"IJDET.2019070104-1","doi-asserted-by":"publisher","DOI":"10.2174\/1874350101609010001"},{"key":"IJDET.2019070104-2","doi-asserted-by":"publisher","DOI":"10.18608\/jla.2014.13.11"},{"key":"IJDET.2019070104-3","doi-asserted-by":"crossref","unstructured":"Baker, R. 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