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A Case Study on AIED Unplugged Applied to Public Policy for Learning Recovery Post-pandemic in Brazil

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Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky (AIED 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1831))

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Abstract

This article discusses the opportunities and challenges of applying Artificial Intelligence in Education (AIED) unplugged in Brazil's post-pandemic context from a Public Policy that considers the national reality. In this context, an intelligent platform is being adopted to support learning recovery, focusing on developing writing skills at elementary school. To meet this objective, AI algorithms were developed with computer vision for transcribing hand-written texts and natural language processing techniques for correcting texts in Portuguese and giving feedback to students to improve their writing skills.

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References

  1. World Bank Homepage. https://www.worldbank.org/en/topic/education/publication/state-of-global-learning-poverty. Accessed 01 Mar 2023

  2. Basic Education Census of Brazil. https://censobasico.inep.gov.br. Accessed 03 Mar 2023

  3. Basic Education Assessment System. https://www.gov.br/inep/pt-br/areas-de-atuacao/avaliacao-e-exames-educacionais/saeb. Accessed 03 Mar 2023

  4. Teaching at the Right Level Homepage. https://www.teachingattherightlevel.org/. Accessed 05 Mar 2023

  5. Bulut, O., MacIntosh, A., Walsh, C.: Leveraging natural language processing for quality assurance of a situational judgement test. In: 23rd International Proceedings on AIED 2022. Springer, Durham (2022). https://doi.org/10.1007/978-3-031-11647-6_14

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Author information

Authors and Affiliations

  1. Center for Excellence in Social Technologies (NEES), Maceió, Brazil

    Carlos Portela, Rodrigo Lisbôa, Koiti Yasojima, Thiago Cordeiro, Alan Silva, Diego Dermeval, Leonardo Marques, Jário Santos, Rafael Mello, Valmir Macário, Ig Ibert Bittencourt & Seiji Isotani

  2. Federal University of Pará, Cametá, Brazil

    Carlos Portela

  3. Federal Rural University of Amazônia, Paragominas and Capitão Poço, Brazil

    Rodrigo Lisbôa & Koiti Yasojima

  4. Federal University of Alagoas, Maceió, Brazil

    Thiago Cordeiro, Alan Silva, Diego Dermeval, Leonardo Marques & Ig Ibert Bittencourt

  5. University of São Paulo, São Paulo, Brazil

    Jário Santos & Seiji Isotani

  6. Federal Rural University of Pernambuco, Recife, Brazil

    Rafael Mello & Valmir Macário

  7. Harvard Graduate School of Education, Cambridge, MA, United States

    Ig Ibert Bittencourt & Seiji Isotani

Authors
  1. Carlos Portela
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  2. Rodrigo Lisbôa
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  3. Koiti Yasojima
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  4. Thiago Cordeiro
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  5. Alan Silva
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  6. Diego Dermeval
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  7. Leonardo Marques
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  8. Jário Santos
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  9. Rafael Mello
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  10. Valmir Macário
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  11. Ig Ibert Bittencourt
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  12. Seiji Isotani
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Corresponding author

Correspondence to Carlos Portela .

Editor information

Editors and Affiliations

  1. University of Southern California, Los Angeles, CA, USA

    Ning Wang

  2. University of British Columbia, Vancouver, BC, Canada

    Genaro Rebolledo-Mendez

  3. University of Leeds, Leeds, UK

    Vania Dimitrova

  4. North Carolina State University, Raleigh, NC, USA

    Noboru Matsuda

  5. UNED, Madrid, Spain

    Olga C. Santos

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this paper

Portela, C. et al. (2023). A Case Study on AIED Unplugged Applied to Public Policy for Learning Recovery Post-pandemic in Brazil. In: Wang, N., Rebolledo-Mendez, G., Dimitrova, V., Matsuda, N., Santos, O.C. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2023. Communications in Computer and Information Science, vol 1831. Springer, Cham. https://doi.org/10.1007/978-3-031-36336-8_120

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  • DOI: https://doi.org/10.1007/978-3-031-36336-8_120

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-36335-1

  • Online ISBN: 978-3-031-36336-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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