RECONTEXT:
APLICACIÓN EDUCATIVA BASADA EN INTELIGENCIA ARTIFICIAL PARA LA PRÁCTICA PERSONALIZADA DEL IDIOMA INGLÉS
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https://doi.org/10.56579/rei.v7i4.2374Palabras clave:
Inteligencia Artificial, Aplicaciones Educativas, Enseñanza de Idiomas, Educación 5.0, Personalización del AprendizajeResumen
Este artículo presenta el desarrollo y la evaluación de ReContext, una aplicación educativa orientada a la práctica personalizada del idioma inglés con apoyo de inteligencia artificial. El objetivo fue crear una herramienta accesible que favoreciera el aprendizaje autónomo y contextualizado de vocabulario, especialmente para estudiantes de escuelas públicas. La metodología incluyó revisión de la literatura, análisis de aplicaciones similares, prototipado con la herramienta Figma, desarrollo con el motor Godot y la API Gemini, y evaluación con 16 estudiantes universitarios utilizando el instrumento uMARS. Los resultados indicaron un alto nivel de compromiso, buena usabilidad, contenido relevante y percepción positiva de los usuarios. Las respuestas abiertas revelaron sugerencias para mejorar la accesibilidad, la personalización y la fiabilidad de las respuestas generadas por la IA. A partir del análisis de los datos, se organizaron lecciones prácticas sobre diseño, usabilidad y transparencia que pueden orientar a los desarrolladores de futuras aplicaciones educativas con IA.
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AGARWAL, V.; VERMA, P.; FERRIGNO, G. Education 5.0 challenges and sustainable development goals in emerging economies: a mixed-method approach. Technology in Society, v. 81, [S. l.], 2025. DOI:10.1016/j.techsoc.2025.102814. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0160791X25000041. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.1016/j.techsoc.2025.102814
AYENI, A. O et al. AI-driven adaptive learning platforms: Enhancing educational outcomes for students with special needs through user-centric, tailored digital tools. World Journal of Advanced Research and Reviews, v. 27, n. 1, 2024. DOI: 10.30574/wjarr.2024.22.3.0843. Disponível em: https://wjarr.com/content/ai-driven-adaptive-learning-platforms-enhancing-educational-outcomes-students-special-needs. Acesso em: 23 jun. 2025.
BOYLE, E. M. Beyond memorization: Teaching Russian (and other languages’) vocabulary. Foreign Language Annals, v. 26, n. 2, p. 226–232, 1993. Disponível em: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1944-9720.1993.tb01169.x. Acesso em: 20 jun. 2025. DOI: https://doi.org/10.1111/j.1944-9720.1993.tb01169.x
CONIJN, R.; KAHR, P.; SNIJDERS, C. Os efeitos das explicações em sistemas automatizados de pontuação de redações na confiança e motivação dos alunos. Journal of Learning Analytics, [S. l.], v. 10, n. 1, p. 37-53, 2023. DOI: 10.18608/jla.2023.7801. Disponível em: https://learning-analytics.info/index.php/JLA/article/view/7801. Acesso em: 26 jul. 2025. DOI: https://doi.org/10.18608/jla.2023.7801
EZIAMAKA, N. V et al. AI-Driven Accessibility: Transformative Software Solutions for Empowering Individuals with Disabilities. International Journal of Applied Research in Social Sciences, v. 6, n. 5, 2024. DOI: 10.51594/ijarss.v6i8.1373. Disponível em: https://fepbl.com/index.php/ijarss/article/view/1373. Acesso em: 23 jun. 2025.
GRALHA, S. R.; DA SILVA BITTENCOURT, O. N. Portuguese Translation and validation of the user rating scale for mobile applications in the health area (uMARS). Research, Society and Development, v. 12, n. 6, p. e8912642056-e8912642056, 2023.DOI: 10.33448/rsd-v12i6.42056. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/42056. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.33448/rsd-v12i6.42056
HWANG, W et al. AI and recognition technologies to facilitate English as Foreign Language writing for supporting personalization and contextualization in authentic contexts. Journal of Educational Computing Research, v. 61, n. 5, 2023. DOI: 10.1177/07356331221137253. Disponível em: https://journals.sagepub.com/doi/10.1177/07356331221137253. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.1177/07356331221137253
IFRAHEEM, S.; RASHEED, M.; SIDDIQUI, A. Transformando a Educação por meio da Inteligência Artificial: Personalização, Engajamento e Análise Preditiva. Journal of Asian Development Studies, [S. l.], v. 13, n. 2, p. 250–266, 2024. DOI: 10.62345/jads.2024.13.2.22. Disponível em: https://poverty.com.pk/index.php/Journal/article/view/493. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.62345/jads.2024.13.2.22
JIA, F et al. Developing an AI-based learning system for L2 learners’ authentic and ubiquitous learning in English language. Sustainability, v. 14, n. 23, 2022. DOI: 10.3390/su142315527. Disponível em: https://www.mdpi.com/2071-1050/14/23/15527. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.3390/su142315527
KOHNKE, L.; ZOU, Di; SU, F. Exploring the potential of GenAI for personalised English teaching: Learners' experiences and perceptions. Computers and Education: Artificial Intelligence, 2025. DOI: 10.1016/j.caeai.2025.100371. Disponível em: https://www.sciencedirect.com/science/article/pii/S2666920X25000116. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.1016/j.caeai.2025.100371
KUMAR, A.; MOHITE, P. Usability of mobile learning applications: A systematic literature review. International Journal of Information Technology, v. 10, p. 785–793, 2018. DOI: 10.1007/S40692-017-0093-6. Disponível em: https://link.springer.com/article/10.1007/s40692-017-0093-6. Acesso em: 23 jun. 2025.
KUNDA, C. R et al. Enhancing E-learning Accessibility through AI and Inclusive Design. ICMCSI 2025, 2025. DOI: 10.1109/ICMCSI64620.2025.10883148. Disponível em: https://ieeexplore.ieee.org/document/10883148. Acesso em: 23 jun. 2025.
LARCO, A.; ENRÍQUEZ, F.; LUJÁN-MORA, S. Review and Evaluation of Special Education iOS Apps Using MARS. In: 2018 IEEE World Engineering Education Conference (EDUNINE). IEEE, 2018. p. 1–6. DOI: 10.1109/EDUNINE.2018.8450977. Disponível em: https://ieeexplore.ieee.org/document/8450977. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.1109/EDUNINE.2018.8450977
MANDRACCHIA, F et al. Mobile Phone Apps for Food Allergies or Intolerances in App Stores: Systematic Search and Quality Assessment Using the Mobile App Rating Scale (MARS). JMIR mHealth and uHealth, 2020. DOI: 10.2196/preprints.18339. Disponível em: https://preprints.jmir.org/preprint/18339. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.2196/preprints.18339
MICHELS, V. R. “Open Yourself to the World”: Reasons for Studying Foreign Languages in University. 2020. 101 f. Dissertação (Master of Arts in Applied Linguistics) – Dalhousie University, Halifax, 2020. Disponível em: https://dalspace.library.dal.ca/handle/10222/79228. Acesso em: 23 jun. 2025.
NASCIMENTO, M. S et al. Aprendizagem Móvel: Utilização De Aplicativos Como Instrumento Pedagógico No Ensino De Ciências Ambientais. Revista de Estudos Interdisciplinares, v. 6, n. 1, p. 01-21, 2024. DOI: 10.56579/rei.v6i1.831. Disponível em: https://revistas.ceeinter.com.br/revistadeestudosinterdisciplinar/article/view/831. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.56579/rei.v6i1.831
NGADIMAN, N et al. Systematic Review on Software Quality in Educational Applications. IEEE Access, v. 9, p. 60187–60200, 2021. DOI:10.1109/ACCESS.2021.3072223. Disponível em: https://ieeexplore.ieee.org/document/9399424. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.1109/ACCESS.2021.3072223
QIN, F.; LI, K.; YAN, J. Understanding user trust in artificial intelligence-based educational systems: Evidence from China. British Journal of Educational Technology, v. 51, p. 1693–1710, 2020. DOI:10.1111/bjet.12994. Disponível em: https://bera-journals.onlinelibrary.wiley.com/doi/10.1111/bjet.12994. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.1111/bjet.12994
SONG, D. How Learners’ Trust Changes in Generative AI over a Semester of Undergraduate Courses. International Journal of Artificial Intelligence in Education, 2024. DOI:10.1007/s40593-024-00446-6. Disponível em: https://link.springer.com/article/10.1007/s40593-024-00446-6. Acesso em: 23 jun. 2025.
STOYANOV, S. R. et al. The Mobile Application Rating Scale (MARS): A new tool for assessing the quality of health apps. JMIR mHealth and uHealth, v. 3, n. 1, e27, 2015. DOI:10.2196/mhealth.3422. Disponível em: https://mhealth.jmir.org/2015/1/e27/. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.2196/mhealth.3422
SWOBODA, W et al. Insights into the Quality of Mobile Health Apps: Preliminary Results of an Analysis of MARS Scores. Studies in Health Technology and Informatics, v. 316, p. 420–421, 2024. DOI: 10.3233/SHTI240438. Disponível em: https://ebooks.iospress.nl/doi/10.3233/SHTI240438. Acesso em: 23 jun. 2025.
TASKIN, M. Artificial Intelligence in Personalized Education: Enhancing Learning Outcomes Through Adaptive Technologies and Data-Driven Insights. Human Computer Interaction, [S. l.], v. 8, n. 1, 2025. DOI:10.62802/ygye0506. Disponível em: https://globalresearchandinnovationpublications.com/HCI/article/view/134. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.62802/ygye0506
WANG, S et al. Artificial intelligence in education: a systematic literature review. Expert Systems with Applications, [S. l.], v. 252, 124167, 2024. DOI: 10.1016/j.eswa.2024.124167. Disponível em: https://www.sciencedirect.com/science/article/pii/S0957417424010339. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.1016/j.eswa.2024.124167
XU, Tianyuan; WANG, Huang. The effectiveness of artificial intelligence on English language learning achievement. System, [S.l.], v. 125, 2024, DOI: 10.1016/j.system.2024.103428. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0346251X24002100. Acesso em: 23 jun. 2025. DOI: https://doi.org/10.1016/j.system.2024.103428
ZHOU, Q., HASHIM, H.; SULAIMAN, NA. Apoiando a prática da conversação em inglês no ensino superior: o impacto da estrutura de aprendizagem combinada assistida por dispositivos móveis e integrada a chatbots de IA. Educ Inf Technol, v. 30, 1p. 4629–14660, 2025. DOI: https://doi.org/10.1007/s10639-025-13401-2. DOI: https://doi.org/10.1007/s10639-025-13401-2
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