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Los estudiantes de ingeniería suelen tener dificultades para dominar el vocabulario técnico en inglés debido a su carácter contextual y especializado. Para abordar este problema, este estudio ha desarrollado una aplicación móvil que facilita el aprendizaje autónomo de vocabulario específico del ámbito mediante actividades gamificadas. La aplicación se diseñó utilizando el marco Flutter y se integró con Firebase para la gestión de datos en tiempo real y el seguimiento de los usuarios. Cuenta con dos juegos interactivos:Palabra adivinada y Coincidencia de palabras—así como la función de conversión de texto a voz, un sistema de pistas limitado y el seguimiento visual del progreso mediante recuentos de dominio y barras de progreso. Los elementos de vocabulario se organizan en tres categorías temáticas: Términos generales, Herramientas e Instrucciones, cada una de ellas estructurada mediante una gestión de datos basada en JSON para garantizar la escalabilidad y facilitar el mantenimiento. Las evaluaciones empíricas, que incluyeron la revisión de expertos, arrojaron una puntuación de validez elevada (M = 4,6/5), lo que confirma la solidez pedagógica y la estabilidad técnica de la aplicación. La integración de la gamificación y la visualización del progreso mejoró significativamente la motivación, la autonomía y la implicación de los alumnos. Este estudio aporta un modelo replicable para combinar el desarrollo con Flutter y Firebase con los principios del diseño instruccional, con el fin de impulsar el aprendizaje de idiomas potenciado por la tecnología en la formación en ingeniería.
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Author Contributions
Anita Nursi: Conceptualization, Methodology, Software Development (Flutter), Investigation, Writing – Original Draft, Writing – Review & Editing. Resmi Darni: Supervision, Validation, Formal Analysis, Evaluation of Pedagogical Soundness, Writing – Review & Editing. Dony Novaliendry: Supervision, Validation, Data Curation (Firebase integration), Empirical Evaluation, Writing – Review & Editing. All authors have read and approved the final version of this manuscript.
Acknowledgments
The authors would like to thank all individuals, institutions, and external collaborators who contributed their expertise and support during the design, development, and evaluation of the mobile application.
View statement in PDF · PDF page 18Ethics Approval
This study involved human participants only in the form of expert review for evaluating the mobile application. All experts provided informed consent before participation.
View statement in PDF · PDF page 18Funding
The authors declare that this research received no external funding. All aspects of the study, including app development (using Flutter and Firebase), gamification design, and expert validation, were conducted independently without financial support from any organization.
View statement in PDF · PDF page 18Competing Interests
The authors declare that they have no conflicts of interest.
View statement in PDF · PDF page 18Generative AI Disclosure
During the preparation of this manuscript, the authors utilized ChatGPT-4o and Grammarly to improve clarity, readability, and coherence. ChatGPT-4o assisted in refining explanations related to instructional design, gamification, and empirical evaluation, while Grammarly helped identify and correct grammar, punctuation, and style issues. All content, interpretations, and conclusions were independently verified and manually edited by the authors.
View statement in PDF · PDF page 18Citas
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Copyright and License
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Derechos de autor 2025 Anita Nursi, Resmi Darni, Dony Novaliendry