Aplicación móvil para el mejoramiento de habilidades de resolución de problemas y cálculo matemático

Abstract

This research addresses significant challenges, particularly in the realm of mathematical skills, faced by students, especially evident during the pandemic. The lack of mathematical skills can lead to low self-esteem and confidence in numerical reasoning. In this context, mobile technology has emerged as a valuable tool to tackle these difficulties and personalize learning. With the aim of enhancing problem-solving and mathematical calculation skills, a specific mobile application has been developed for students facing challenges at Luz de América Basic School in Ecuador. This application aims to provide effective and accessible educational resources, focusing on interactivity and adaptability to foster a sense of achievement in the classroom and contribute to the advancement of inclusive education. Deficiencies in mathematical skills are addressed from both pedagogical and technological perspectives, employing a mixed methodology that combines quantitative and qualitative approaches to better understand the application's effectiveness and its impact on student learning. The design of the application prototype is based on solid pedagogical principles and the TPACK model, integrating pedagogical, content, and technological knowledge. Additionally, the Mobile-D methodology is utilized for prototype development, ensuring continuous interaction between the development team and users. The mobile application "CálculaFácilKID" focuses on strengthening students' mathematical skills through interactive exercises and immediate feedback. It also incorporates features such as interactive tutorials to enhance the user experience and promote effective learning. Evaluation of the prototype is conducted through testing and analysis of results at technological, pedagogical, and curricular levels. Potential enhancements, such as integrating interactive tutorials, educational games, and collaboration and competition features, are identified to optimize the application and its impact on student learning.