Learning analytics applied to Distance Education initial training for pedagogues in the school management area

• Autor(a) principal: Gonçalves, Marluce Torquato Lima
• Data de Publicação: 2022
• Outros Autores: Nunes, João Batista Carvalho
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Revista da FAEEBA (Online)
• Texto Completo: https://www.revistas.uneb.br/index.php/faeeba/article/view/11780
• topic: Learning Analytics; Teacher Education; Distance Education; School Management; Analítica del Aprendizaje; Formación de Profesores; Educación a Distancia; Gestión Escolar; Analítica da Aprendizagem; Formação de Professores; Educação a Distância; Gestão Escolar

Learning analytics is a research field still in the early stage in Latin America, including Brazil. This article aims to establish a predictive model, based on the learning analytics, which helps to monitor the performance of students of the distance learning degree in Pedagogy, of a university located in the State of Ceará (Brazil) and participant of the UAB System, with regard to training in school management. The statistical method was adopted, by applying the multinomial logistic regression technique to action categories carried out in Moodle by 274 students in two disciplines in the area of school management, distributed in seven centers. The results showed action categories that directly interfere in the student's performance, whether to approve, fail for grade or fail for missing classes, revealing the need for changes in the course design.