Um estudo comparativo da análise dos erros nos descritores do Spaece entre Fortaleza e o interior do Ceará com uso do algoritmo FP-Growth

Abstract

This study investigated error patterns in Mathematics among 9th-grade elementary school students in the 2019 SPAECE large-scale assessment, aiming to compare the difficulties faced by students from Fortaleza and those from municipalities in the interior of Cear´a. Data Science techniques were employed, specifically the FP-Growth algorithm, to identify patterns of student difficulties. The comparative analysis of student performance revealed common learning challenges in geometry and operations with rational numbers. Furthermore, it was found that students from the capital tend to make more mistakes in more complex content, while those from the interior show limitations in more elementary topics. These findings highlight the need for differentiated pedagogical strategies to address learning gaps in Mathematics.