Students’ learning habit factors during COVID-19 pandemic using multilayer perceptron (MLP)

Rapid dissemination of coronavirus disease 2019 (COVID-19) across the globe has necessitated introduction social distance interventions to slow spread Online learning become essential, considering implications this virus be among students during physical classes Hence, educational institutions have shifted traditional online Due implementation worldwide, a study on student habits is crucial analyse as it one main factors that affecting students’ performance in Fifteen independent variables inputs well-known Artificial Neural Network algorithms, Multilayer Perceptron (ANN-MLP) been used investigate student’s habit COVID-19 pandemic Through analysing original survey data from 420 secondary (Grade 6-12) Hanoi shows ANN-MLP model stable for both optimization algorithms which are Adjusted Normalized, concise The hours spend self-learning before observed most influential Moreover, promising Sum Squares Error (SSE) and Relative (RE) values obtained signify appropriate identifying © 2021 Nur Nabilah Abu Mangshor et al