Writing proficiency assessment: regression analysis of item response theory supported by machine learning techniques (2021)
- Authors:
- Autor USP: CÚRI, MARIANA - ICMC
- Unidade: ICMC
- DOI: 10.1109/CLEI53233.2021.9639903
- Subjects: APRENDIZADO COMPUTACIONAL; TEORIA DE RESPOSTA AO ITEM; REDAÇÃO
- Keywords: Grades Prediction; Prediction Evaluation Metrics; Learning Characterization
- Language: Português
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2021
- Source:
- Título: Proceedings
- Conference titles: Latin American Computing Conference - CLEI
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SILVA, W. P et al. Writing proficiency assessment: regression analysis of item response theory supported by machine learning techniques. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/CLEI53233.2021.9639903. Acesso em: 18 fev. 2026. -
APA
Silva, W. P., Oliveira, E. S., Cúri, M., & Bourguet, J. R. (2021). Writing proficiency assessment: regression analysis of item response theory supported by machine learning techniques. In Proceedings. Piscataway: IEEE. doi:10.1109/CLEI53233.2021.9639903 -
NLM
Silva WP, Oliveira ES, Cúri M, Bourguet JR. Writing proficiency assessment: regression analysis of item response theory supported by machine learning techniques [Internet]. Proceedings. 2021 ;[citado 2026 fev. 18 ] Available from: https://doi.org/10.1109/CLEI53233.2021.9639903 -
Vancouver
Silva WP, Oliveira ES, Cúri M, Bourguet JR. Writing proficiency assessment: regression analysis of item response theory supported by machine learning techniques [Internet]. Proceedings. 2021 ;[citado 2026 fev. 18 ] Available from: https://doi.org/10.1109/CLEI53233.2021.9639903 - Improving psychometric assessment of the Beck depression inventory using multidimensional item response theory
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Informações sobre o DOI: 10.1109/CLEI53233.2021.9639903 (Fonte: oaDOI API)
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