{"id":6608,"date":"2026-04-07T17:27:33","date_gmt":"2026-04-07T20:27:33","guid":{"rendered":"https:\/\/eic.cefet-rj.br\/ppcic\/?p=6608"},"modified":"2026-04-07T17:27:33","modified_gmt":"2026-04-07T20:27:33","slug":"dissertation-may-11-2026-vanessa-santos-soares","status":"publish","type":"post","link":"https:\/\/eic.cefet-rj.br\/ppcic\/en\/dissertation-may-11-2026-vanessa-santos-soares\/","title":{"rendered":"Dissertation (May 11, 2026): Vanessa Santos Soares"},"content":{"rendered":"<p role=\"presentation\"><strong>Student:<\/strong> Vanessa Santos Soares<\/p>\n<p role=\"presentation\"><strong>Title:<\/strong> Avalia\u00e7\u00e3o de modelos de aprendizado de m\u00e1quina para a corre\u00e7\u00e3o autom\u00e1tica de reda\u00e7\u00f5es segundo as compet\u00eancias do ENEM<\/p>\n<p role=\"presentation\"><strong>Advisors:<\/strong> Eduardo Bezerra da Silva (advisor) and Gustavo Paiva Guedes e Silva (co-advisor)<\/p>\n<p role=\"presentation\"><strong>Committee:<\/strong> Eduardo Bezerra da Silva (Cefet\/RJ), Gustavo Paiva Guedes e Silva (Cefet\/RJ), Geraldo Bonorino Xex\u00e9o (UFRJ) and Diego Moreira de Ara\u00fajo Carvalho (Cefet\/RJ)<\/p>\n<p role=\"presentation\"><strong>Day\/Hour:<\/strong> May 11, 20266 \/ 9 a.m.<\/p>\n<p role=\"presentation\"><strong>Room:<\/strong> <a id=\"m_-4095527470985298986OWAb71f609b-2a70-bd18-e808-d2557a4ed974\" href=\"https:\/\/teams.microsoft.com\/meet\/23323520592245?p=fnhxrL9byDTK3YLLbi\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/teams.microsoft.com\/meet\/23323520592245?p%3DfnhxrL9byDTK3YLLbi&amp;source=gmail&amp;ust=1775678610889000&amp;usg=AOvVaw0LKuXDfjEaaIQlntyXJkoC\">https:\/\/teams.microsoft.com\/<wbr \/>meet\/23323520592245?p=<wbr \/>fnhxrL9byDTK3YLLbi<\/a><\/p>\n<p role=\"presentation\"><strong>Abstract: <\/strong>With the growth of remote education and the implementation of large-scale exams such as ENEM, the automation of essay grading has become an increasing necessity. This work investigates different machine learning strategies for the automatic evaluation of essays written in Portuguese, based on the five assessment competencies defined by ENEM. A total of 9,599 essays were analyzed, collected from the Vestibular Brasil Escola portal, covering 102 topics published between 2009 and 2024. Two main approaches are compared: (i) traditional methods based on TF-IDF and linguistically engineered features extracted from the texts, and (ii) pre-trained language models with fine-tuning (XLM-RoBERTa with LoRA). Model performance is evaluated using the Quadratic Weighted Kappa (QWK) metric, which measures agreement with human raters. The study aims to demonstrate that pre-trained models provide significant improvements in robustness and reliability, outperforming feature-engineering-based approaches. This research contributes to the advancement of Automatic Essay Scoring (AES) in Portuguese by offering a benchmark and comparative analysis that can support future studies and educational applications.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Student: Vanessa Santos Soares Title: Avalia\u00e7\u00e3o de modelos de aprendizado de m\u00e1quina para a corre\u00e7\u00e3o autom\u00e1tica de reda\u00e7\u00f5es segundo as compet\u00eancias do ENEM Advisors: Eduardo Bezerra da Silva (advisor) and Gustavo Paiva Guedes e Silva (co-advisor) Committee: Eduardo Bezerra da Silva (Cefet\/RJ), Gustavo Paiva Guedes e Silva (Cefet\/RJ), Geraldo Bonorino Xex\u00e9o (UFRJ) and Diego Moreira [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[96,2],"tags":[],"class_list":["post-6608","post","type-post","status-publish","format-standard","hentry","category-defenses","category-noticias-en"],"_links":{"self":[{"href":"https:\/\/eic.cefet-rj.br\/ppcic\/wp-json\/wp\/v2\/posts\/6608","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eic.cefet-rj.br\/ppcic\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/eic.cefet-rj.br\/ppcic\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/eic.cefet-rj.br\/ppcic\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/eic.cefet-rj.br\/ppcic\/wp-json\/wp\/v2\/comments?post=6608"}],"version-history":[{"count":1,"href":"https:\/\/eic.cefet-rj.br\/ppcic\/wp-json\/wp\/v2\/posts\/6608\/revisions"}],"predecessor-version":[{"id":6609,"href":"https:\/\/eic.cefet-rj.br\/ppcic\/wp-json\/wp\/v2\/posts\/6608\/revisions\/6609"}],"wp:attachment":[{"href":"https:\/\/eic.cefet-rj.br\/ppcic\/wp-json\/wp\/v2\/media?parent=6608"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/eic.cefet-rj.br\/ppcic\/wp-json\/wp\/v2\/categories?post=6608"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/eic.cefet-rj.br\/ppcic\/wp-json\/wp\/v2\/tags?post=6608"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}