3rd Asia Pacific International Conference on Industrial Engineering and Operations Management

Improve E-Learning Ecosystem with Big Data in Higher Education

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Track: E-Business and E-Commerce
Abstract

E-learning as the main system that supports the learning process in higher education turns out to have several problems such as inadequate compatibility between service technology design and the psychological components of the learning process, shallowness in learning caused by various methodologies, certain types of reduction of the relationship between learners, between themselves and the lecturer, the possibility of a loss of direct communication and direct collaboration. On the other hand, big data can determine and analyze the causes of a problem that occurs in the system, including the e-learning system. The purpose of this research is to help higher education optimize e-learning by using big data. The research method uses a qualitative approach through literature review to find e-learning problems in universities. While the qualitative approach is through observation to analyze alternative solutions with a big data approach. 

Published in: 3rd Asia Pacific International Conference on Industrial Engineering and Operations Management, Johor Bahru, Malaysia

Publisher: IEOM Society International
Date of Conference: September 13-15, 2022

ISBN: 978-1-7923-9162-0
ISSN/E-ISSN: 2169-8767