Análise de perfis de interação de alunos no ambiente virtual Moodle via agrupamento hierárquico

Resumo

This article presents a student's activities monitoring approach using Data Mining, with the objective of identify students groups with the same profile flowing some characteristics, like participation and interaction on LMS by applying a hierarquical clustering. This proposal is based on Learning Vectors Model. The results shows 3 distinct groups (great, good and regular) taking in consideration the interactions on the environment. So allowing the recognition of difficulties, and making easy for tutors to act direct on these difficulties and so improve the performance and learning from the students.