Aplicação de técnicas de análise de dados em um jogo sério sobre datas comemorativas

Abstract

The application of serious games is an excellent teaching practice, as it allows students to learn specific content in a fun and rapid manner. Many of these games employ traditional assessment methods, such as questionnaires. By using machine learning algorithms and data analysis, it is possible to generate hypotheses and identify patterns not only regarding the game itself but also the sessions played by students. This aims to propose improvements to the game and uncover player characteristics. This study applied data analysis techniques and machine learning algorithms to a serious game themed around Commemorative Dates. Initially, the game's variables that would be significant for the analysis were identified. Subsequently, the serious game was applied to students with intellectual disabilities. After data collection, the data were pre-processed to eliminate incomplete entries. The analysis of these data involved the application of machine learning algorithms, such as linear regression and K-Means, as well as data visualization techniques, including bar charts, pie charts, scatter plots, and tables. As a result, it was possible to identify characteristics of the game's stages, highlighting which stages were easier or more difficult for players, in addition to revealing patterns in each player's sessions concerning the moves made.