Resumo:
The growing volume of data generated globally across diverse activities is accompanied by an equally increasing demand to interpret it and extract valuable information. In this scenario, data analysis, an essential component of the Data Science domain, enables this process by transforming raw data into useful knowledge for decision-making. However, as students develop analytical skills, they face challenges such as subjective interpretation of visualizations, high-dimensional data, the need to understand sometimes abstract statistical concepts, and the required proficiency with specific computational tools. These factors point to the need for methodologies and tools that can support teachers and motivate students in this field. In this context, the research proposes developing a gamified web tool to support introductory data analysis. The tool aims to facilitate the study of concepts and data analysis techniques through a solution that incorporates game elements and was evaluated by volunteer students in computer science courses at the Federal University of Itajubá. The evaluation captured students’ perceptions of the developed tool from multiple perspectives. The results of this evaluation indicated high rates of usability, acceptance, and satisfaction.
