Integration of Neural Network Algorithm in Adaptive Learning Management System
Proceedings of the 2020 3rd International Conference on Robot Systems and Applications
(2020), pp. 82-87
Ace C. Lagman
a
,
Geliza Marie I. Alcober
a
,
Ma. Corazon G. Fernando
a
,
Marie Luvett I. Goh
a
,
Jay-ar P. Lalata
a
,
John Heland Jasper C. Ortega
a
,
Maria Rona L. Perez
a
,
Maria Vicky S. Solomo
a
,
Julius P. Claour
a
a FEU Institute of Technology, Paredes, Sampaloc, Manila, Metro Manila
Abstract: The study aims to integrate neural network algorithm that predicts students' vulnerability of not having graduation on time to an adaptive learning management system. Neural network is one of the popular machine learning techniques because of its learning algorithm. The learning algorithm is focused on updating weights of the edges in order to produce minimal mean squared error between actual and predicted values. The integration of this platform could lead to much efficient learning management system as LMS is mainly driven to provide individualized and personalized learning tailored to specific requirements and learning preferences. The neural network algorithm is designed to classify students with learning difficulty so that administrators can formulate remediation and academic support policies.