OPA: An AI System for Automating the Correction and Analysis of Portuguese Dictations

This paper presents an OPA (Observation, Processing, and Assistance) proof of concept, an AI-based system designed to support Portuguese language teachers in public schools by automating the correction and analysis of handwritten dictations. OPA uses OCR technologies and natural language processing to digitize students’ written work, identify errors, and classify them by type. This allows teachers to provide targeted interventions and better manage classroom data. By automating routine tasks, OPA aims to save time for educators and improve student literacy. The study demonstrates the potential of AI to transform educational practices, particularly in resource-limited environments, and addresses the lack of AI tools in Portuguese language education.

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Publication Details

Published
2025-06-02
DOI
https://doi.org/10.5753/sbsc.2025.6639
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

OPA: An AI System for Automating the Correction and Analysis of Portuguese Dictations

T. Cardoso, Ana Cristina Bicharra García, E Bueno, Polyana Graf Finamor
Natural Language Processing Techniques
article

OPA: An AI System for Automating the Correction and Analysis of Portuguese Dictations

T. Cardoso, Ana Cristina Bicharra García, E Bueno, Polyana Graf Finamor
article en

Abstract

This paper presents an OPA (Observation, Processing, and Assistance) proof of concept, an AI-based system designed to support Portuguese language teachers in public schools by automating the correction and analysis of handwritten dictations. OPA uses OCR technologies and natural language processing to digitize students’ written work, identify errors, and classify them by type. This allows teachers to provide targeted interventions and better manage classroom data. By automating routine tasks, OPA aims to save time for educators and improve student literacy. The study demonstrates the potential of AI to transform educational practices, particularly in resource-limited environments, and addresses the lack of AI tools in Portuguese language education.

Universidade Federal do Estado do Rio de Janeiro (BR)
Openalex Percentile: Top 92%
Natural Language Processing Techniques
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