Tatiana Almeida de Magalhães, Erasmo Daniel Ferreira, Joyce Elen Murça de Souza, Viviane Maia Santos, Luiza Augusta Rosa Rossi-Barbosa, Jairo Evangelista Nascimento, Marise Fagundes Silveira, Desirée Sant'Ana Haikal
Voice Disorders and Mental health of Basic Education Teachers in a Brazilian Municipality
Journal of voice : official journal of the Voice Foundation
earlier studies suggested higher education institutions could harness predictive power learning management system lms data develop reporting tools identify atrisk students allow timely pedagogical interventions paper confirms extends proposition providing data international research project investigating student online activities accurately predict academic achievement analysis lms tracking data blackboard vistasupported course identified 15 variables demonstrating significant simple correlation student final grade regression modelling generated bestfit predictive model course incorporates key variables total number discussion messages posted total number mail messages sent total number assessments completed explains 30 variation student final grade logistic modelling demonstrated predictive power model correctly identified 81 students achieved failing grade moreover network analysis course discussion forums afforded insight development student learning community identifying disconnected students patterns studenttostudent communication instructor positioning within network study affirms pedagogically meaningful information extracted lmsgenerated student tracking data discusses findings informing development customizable dashboardlike reporting tool educators extract visualize realtime data student engagement likelihood success