Howard Gardner revolutionized the concept of intelligence with his Multiple Intelligences Theory. His vision was widely supported by the educational community, which considers different forms of learning and accessing knowledge. Despite its impact, there is still a lack of development of tools that can easily, practically and reliably evaluate multiple intelligences. This work describes the design, development, and piloting of TOI (Tree of Intelligences) software, a digital tool to evaluate multiple intelligences and perform interventions through video games. The aim of the study is to present the design of the TOI software and test its operation, analysing the distribution of the results game by game and checking whether there are differences according to gender or school year. A total of 372 primary school students participated, aged 5 to 9 years old (M=7.04, SD=.871), from three schools in Asturias and Madrid. The results show that 9 out of 10 games had a normal distribution and that there were no gender differences in most games, but there were differences in relation to the school year. We concluded that due to its operation and design TOI software has the potential be a suitable instrument for the evaluation and intervention of multiple intelligences. Howard Gardner revolucionó el concepto de inteligencia con su Teoría de las Inteligencias Múltiples. Su visión fue acogida por la comunidad educativa como la oportunidad para una educación más personalizada y que atienda las diferentes formas de aprender y acceder al conocimiento. A pesar de su impacto, todavía hoy hay una carencia en cuanto al desarrollo de herramientas capaces de evaluar de forma sencilla, práctica y fiable las inteligencias múltiples. Por ello, este trabajo plantea el diseño, desarrollo y pilotaje del software TOI, del inglés ‘Tree of Intelligences’, una herramienta digital para evaluar e intervenir las inteligencias múltiples a través de los videojuegos. El objetivo del estudio es presentar el diseño de TOI y testar su funcionamiento, analizando la distribución de los resultados juego a juego y comprobando si existen diferencias en función del género y el curso. Participaron un total de 372 estudiantes de primero a tercer curso de educación primaria de tres centros de Asturias y Madrid, con edades comprendidas entre 5 y 9 años (M=7.04, DT=.871). Los resultados muestran que 9 de 10 juegos presentan una distribución normal y que no existen diferencias en función del género en la mayoría de los juegos, pero sí en relación al curso. Se concluye que por su funcionamiento y diseño el software TOI puede ser un adecuado instrumento de evaluación e intervención de las inteligencias múltiples.

The Theory of multiple intelligences suggests that it is necessary to develop new methods to assess and conceptualise the human intellect. It is envisaged that serious games can offer an alternative form of evaluation, as game designers can create gameplay environments that incorporate the different intelligences into clues, puzzles and game challenges, so that players can not only acquire knowledge, social support and self-efficacy, but also easily evaluate their skills and abilities. This study aims to analyse the classificatory precision of cognitive profiles acquired from the use of a serious game based on multiple intelligences as well as examine the agreement between the serious game results and a self-report questionnaire. The sample consisted of 209 participants (22.5% men), aged between 19 and 59 years (M = 22.83, SD = 6.36) from secondary to higher education. The results revealed that the serious game presented a different classification capacity compared to the self-report questionnaire. The possibility of identifying different cognitive profiles would have implications for educators and researchers. For educators, it would allow the incorporation of more individualised and inclusive education practices, by adapting teaching methods to each student’s learning style. For researchers, it would shed light on the various structures of multiple intelligences in different samples.