Introduction: gamification is a playful strategy that has been used to motivate and engage people in achieving specific objectives. In the realm of education and mental health, gamification has emerged as a promising tool to enhance emotional and psychological well-being.Objetive: the aim of this paper was to conduct a scoping review of the literature to assess the effectiveness of artificial intelligence in gamification for promoting mental health among university students.Methods: an exhaustive search for scientific articles was conducted across different databases, and the PRISMA guidelines were used for its development. From an initial phase where 424 potentially relevant titles were found, 14 articles were selected for analysis. Results: the studies reviewed showed that gamification can enhance motivation and engagement, as well as improve self-esteem and self-efficacy among higher education students. Additionally, it was found that 50 % of the articles had funding, showcasing the interest of higher education institutions in enhancing their quality standards.Conclusions: the published paper indicated that gamification can be executed in any field of study driven by emerging technologies such as artificial intelligence. However, it's crucial to note that the effectiveness of gamification interventions may vary depending on various factors like game design quality, implementation context, and user characteristics

Technology Rain Journal ISSN 2953-464X, indexada en Latindex Catálogo 2.0, es una Revista enfocada en el área de Ciencias Informáticas e Ingeniería. Posee una periodicidad Semestral con un volumen anual de dos números . Nuestra revista es editada por la editorial Kolibri, auspiciada por La Red de Investigacion en Ingenieria e Informatica  Ri3, el Instituto de Investigaciones Informáticas y Forenses del Ecuador,  y otras entidades sin fines de lucro.  La Revista publica artículos originales e inéditos, y evaluado en doble ciego. Revista de acceso abierto Licencia Creative Commons Attribution 4.0 International (CC BY 4.0) Recepción permanente de artículos científicos

In the absence of seismic records, this study focuses on using microtremors as surrogates to analyze ground signals during earthquakes. Earthquake engineering uses response spectra to evaluate the structural reaction to vibrations, condensing the complex dynamics required for design. The central objective is to generate response spectra in underdamped systems using Newmark's β method, considering displacement, velocity and acceleration with operations research methodology. The sample consists of 171 points of the Riobamba seismic zonation study. Using environmental microtrepidation results, accelerogram matrices were obtained for each component. Maximum values of displacement, velocity and acceleration were extracted for a natural period of 3 seconds with a damping of 5% and plotted to obtain response spectra. This methodological approach provides a robust analysis of the underdamped response of the system, offering crucial insights for seismic design and engineering.