Tutoria: Supporting Good Practices for Providing Written Educational Feedback

  • Taciana Pontual Falcão Universidade Federal Rural de Pernambuco http://orcid.org/0000-0003-2775-4913
  • Verenna Oliveira Universidade Federal Rural de Pernambuco
  • Samuel Souza Universidade Federal de Pernambuco
  • Giuseppe Fiorentino Universidade Federal Rural de Pernambuco
  • José Rodrigues Neto Universidade Federal Rural de Pernambuco
  • João Victor Galdino Universidade Federal Rural de Pernambuco
  • Gabriel Alves Universidade Federal Rural de Pernambuco http://orcid.org/0000-0002-2249-7818
  • Rafael Ferreira Mello Universidade Federal Rural de Pernambuco http://orcid.org/0000-0003-3548-9670


In learning processes, feedback given by instructors is essential to guide students and help them improve from their mistakes. However, in higher education, instructors feel unable to give quality and timely feedback due to work overload and lack of time. As online classes became dominant due to the Covid 19 pandemic, and with increasing numbers of students per class, giving feedback beyond grades is even less realistic. Software tools to support feedback processes typically focus on automatic messages, which is not ideal as they lack personalization. Aligned with more recent research which suggests a broader perspective on the feedback process, we propose a software tool to help instructors construct quality written feedback efficiently. Through iterative user-centered design and applying artificial intelligence techniques, we developed functionalities that support correction of activities and allow building personalized written feedback, thus allowing instructors to give quality feedback to large groups, within realistic time frames.
Palavras-chave: educational feedback, personalization, software tool


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PONTUAL FALCÃO, Taciana; OLIVEIRA, Verenna; SOUZA, Samuel; FIORENTINO, Giuseppe; RODRIGUES NETO, José; GALDINO, João Victor; ALVES, Gabriel; FERREIRA MELLO, Rafael. Tutoria: Supporting Good Practices for Providing Written Educational Feedback. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 33. , 2022, Manaus. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 668-679. DOI: https://doi.org/10.5753/sbie.2022.225074.