OqKay: A semi-automatic system approach to question extraction

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dc.contributor.authorSantos, Kayque Lucas Santana dos
dc.contributor.authorPereira, Aluisio José
dc.contributor.authorQueiros, Leandro Marques
dc.contributor.authorSilva, Carlos José Pereira da
dc.contributor.authorGomes, Alex Sandro
dc.contributor.authorMoreira, Fernando
dc.date.accessioned2024-05-20T15:25:54Z
dc.date.available2024-05-20T15:25:54Z
dc.date.issued2024-05-13
dc.description.abstractBasic 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.
dc.identifier.citationSantos, K. L. S., Pereira, A. J., Queiros, L. M., Silva, C. J. P., Gomes, A. S., & Moreira, F. (2024). OqKay: A semi-automatic system approach to question extraction. In In Á. Rocha, H. Adeli, G. Dzemyda, Moreira, F., & A. Poniszewska-Marańda (Eds.), Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024, volume 4, (Part of: Lecture Notes in Networks and Systems, vol. 988, pp. 33-42). Springer. https://doi.org/10.1007/978-3-031-60224-5_4. Repositório Institucional UPT. https://hdl.handle.net/11328/5640
dc.identifier.isbn978-3-031-60224-5
dc.identifier.isbn978-3-031-60223-8
dc.identifier.urihttps://hdl.handle.net/11328/5640
dc.language.isoeng
dc.publisherSpringer
dc.relation.hasversionhttps://doi.org/10.1007/978-3-031-60224-5_4
dc.rightsrestricted access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectWeb scraping
dc.subjectQuestion extraction
dc.subjectEnem
dc.subjectEvaluation
dc.subject.fosCiências Naturais - Ciências da Computação e da Informação
dc.titleOqKay: A semi-automatic system approach to question extraction
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.endPage42
oaire.citation.startPage33
oaire.citation.titleGood Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024
oaire.citation.volume4
person.affiliation.nameUniversidade Portucalense
person.familyNameMoreira
person.givenNameFernando
person.identifier.ciencia-id7B1C-3A29-9861
person.identifier.orcid0000-0002-0816-1445
person.identifier.ridP-9673-2016
person.identifier.scopus-author-id8649758400
relation.isAuthorOfPublicationbad3408c-ee33-431e-b9a6-cb778048975e
relation.isAuthorOfPublication.latestForDiscoverybad3408c-ee33-431e-b9a6-cb778048975e

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