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OqKay: A Semi-automatic System Approach to Question Extraction

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Good Practices and New Perspectives in Information Systems and Technologies (WorldCIST 2024)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 988))

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Abstract

Basic education teachers carry out routine activities to develop evaluative exercises. In High School, this task must be aligned with entrance exams. Such practice generally demands recurrent research and intensive question selection. In this sense, this study presents the design of a semi-automatic system approach for extracting Enem questions available in internet repositories. The methodology employed web scraping methods to investigate educational materials, gather evidence of contest editions, employ regular expressions to examine the content and organize the data found within the documents. It also stored a repository of questions for utilization in the proposed system. When evaluating the approach, we obtained an acceptance and performance rate of 68.9% of questions extracted assertively. Thus, automating part of the specialized activity required to extract evaluative questions from online repositories is possible.

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Acknowledgements

This work was supported by the FCT – Fundação para a Ciência e a Tecnologia, I.P. [Project UIDB/05105/2020].

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Authors and Affiliations

  1. Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil

    Kayque Lucas Santana dos Santos, Aluisio José Pereira, Leandro Marques Queiros, Carlos José Pereira da Silva & Alex Sandro Gomes

  2. REMIT, Universidade Portucalense, Porto and IEETA, Universidade de Aveiro, Aveiro, Portugal

    Fernando Moreira

Authors
  1. Kayque Lucas Santana dos Santos
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  2. Aluisio José Pereira
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  3. Leandro Marques Queiros
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  4. Carlos José Pereira da Silva
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  5. Alex Sandro Gomes
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  6. Fernando Moreira
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Corresponding author

Correspondence to Fernando Moreira .

Editor information

Editors and Affiliations

  1. ISEG, Universidade de Lisboa, Lisbon, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

    Gintautas Dzemyda

  4. DCT, Universidade Portucalense, Porto, Portugal

    Fernando Moreira

  5. Institute of Information Technology, Lodz University of Technology, Łódz, Poland

    Aneta Poniszewska-Marańda

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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dos Santos, K.L.S., Pereira, A.J., Queiros, L.M., da Silva, C.J.P., Gomes, A.S., Moreira, F. (2024). OqKay: A Semi-automatic System Approach to Question Extraction. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Poniszewska-Marańda, A. (eds) Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024. Lecture Notes in Networks and Systems, vol 988. Springer, Cham. https://doi.org/10.1007/978-3-031-60224-5_4

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