RECONTEXT

AN ARTIFICIAL INTELLIGENCE-BASED EDUCATIONAL APPLICATION FOR PERSONALIZED ENGLISH LANGUAGE PRACTICE

Visualizações: 211

Authors

DOI:

https://doi.org/10.56579/rei.v7i4.2374

Keywords:

Artificial Intelligence, Educational Applications, Language Learning, Education 5.0, Learning Personalization

Abstract

This article presents the development and evaluation of ReContext, an educational application aimed at personalized English language practice supported by artificial intelligence. The goal was to create an accessible tool that promotes autonomous and contextualized vocabulary learning, especially for public school students. The methodology included a literature review, analysis of similar applications, prototyping using Figma, development with the Godot engine and the Gemini API, and evaluation with 16 university students using the uMARS instrument. The results indicated a high level of engagement, good usability, relevant content, and positive user perception. Open-ended responses revealed suggestions for improving accessibility, personalization, and the reliability of AI-generated responses. Based on data analysis, practical lessons on design, usability, and transparency were organized to guide developers of future AI-based educational applications.

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Author Biographies

Pedro Henrique Amaro Ferreira Lacerda, Federal University of the São Francisco Valley

Computer Engineer from the Federal University of the São Francisco Valley, Brazil, Bahia, Juazeiro.
Brazil, Pernambuco, Petrolina.

Rosalvo Ferreira de Oliveira Neto, Federal University of the São Francisco Valley

Graduate in Information Systems from the Integrated College of Recife – FIR, Master’s and PhD in Computer Science from the Federal University of Pernambuco, and Professor in the Computer Engineering program in the field of Artificial Intelligence at the Federal University of the São Francisco Valley, Juazeiro, Brazil, Bahia, Juazeiro.

Ricardo Argenton Ramos, Federal University of the São Francisco Valley

Graduate in Data Processing from the Faculty of Technology of Taquaritinga – SP and in Psychology from the Federal University of the São Francisco Valley – UNIVASF, Master in Computer Science from UFSCAR, PhD in Computer Science from the Federal University of Pernambuco, and postdoctoral researcher at the University of Waterloo. He is a Professor of Computer Engineering and of the Graduate Program in Health and Biological Sciences at UNIVASF, Brazil, Bahia, Juazeiro.

Verônica de Castro Leal, Federal Rural University of Pernambuco

Bachelor’s and Licentiate in Biological Sciences from the Federal University of the São Francisco Valley and Claretiano, respectively. Master in Agronomy: Irrigated Horticulture from the State University of Bahia. PhD candidate in Soil Science at the Federal Rural University of Pernambuco. Professor in the Agronomic Engineering program at UniBRAS.

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Published

2025-09-10

How to Cite

Lacerda, P. H. A. F., Oliveira Neto, R. F. de, Ramos, R. A., & Leal, V. de C. (2025). RECONTEXT: AN ARTIFICIAL INTELLIGENCE-BASED EDUCATIONAL APPLICATION FOR PERSONALIZED ENGLISH LANGUAGE PRACTICE. Interdisciplinary Studies Journal, 7(5), 01–21. https://doi.org/10.56579/rei.v7i4.2374

Issue

Vol. 7 No. 5 (2025): JOURNAL OF INTERDISCIPLINARY STUDIES

Section

DOSSIER: ARTIFICIAL INTELLIGENCE AND EDUCATION 5.0 – TRANSFORMATIONS IN TEACHING AND LEARNING

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