Aplicação de ferramentas educométricas na avaliação do uso de smartphones e imagens digitais em aulas de Química para o 2º ano do Curso Técnico em Administração do IFPI - Campus Paulistana

Abstract

Educometry stands out as an essential tool for systematically assessing the impact of pedagogical strategies on the teaching-learning process through advanced statistical models. By integrating quantitative and qualitative data, this approach enables a more comprehensive understanding of the relationship between applied methodologies and student outcomes. In this context, this research aimed to evaluate the effectiveness of using smartphones and digital images in determining the common concentration in solutions, employing the PhotoMetrix® app as a technological resource in Chemistry education. The study was conducted with second-year students of the Technical Administration course integrated with High School at IFPI – Campus Paulistana. The methodology involved administering questionnaires before and after the pedagogical intervention to measure students' knowledge progression. The collected data were organized into matrices in Excel and analyzed using advanced statistical techniques, including Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) in the PLS_Toolbox 5.2 for MATLAB® interface. The generated models allowed the identification of learning patterns, highlighting that the applied methodology facilitated a more solid understanding of common concentration concepts. PCA revealed significant changes in students' knowledge between the initial and final questionnaires, while HCA showed clusters indicating learning consolidation. The results demonstrate the potential of educometric tools in data analysis and mobile devices in making Chemistry education more interactive, dynamic, and effective, reinforcing the importance of technological innovation in the educational context.