7th North American International Conference on Industrial Engineering and Operations Management

Measuring the Learning Environmental Satisfaction of Students during Online Class

Janice Gumasing
Publisher: IEOM Society International
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Track: Human Factors and Ergonomics
Abstract

This research study focuses on determining the factors that influence the satisfaction level of students in their learning environment during an online class. A learning environment refers to learning resources and technology, teaching methods, modes of learning, and connections to societal and global contexts. In this study, the factors used to measure the learning environment consisted of adequate learning materials, adequate access to gadgets for online learning, reliable and fast internet connection, physical and mental capacity, enough time and resources, enough skills for an online class, and enough infrastructure to support online learning. On the other hand, student satisfaction was measured based on teaching and delivery quality, facilitating conditions, and LMS quality. Pearson correlation test was employed to determine the association of learning environmental factors to students' satisfaction. In addition, regression analysis was also utilized to determine which factors influenced students' overall satisfaction during online learning. Results revealed that enough resources and skills and enough infrastructure to support online learning, have very high association with teaching delivery quality and LMS quality. In addition, regression analysis showed that factors that significantly influenced students' satisfaction are adequate learning materials, adequate access to gadgets, enough resources and skills, and enough infrastructure to support online learning.

Published in: 7th North American International Conference on Industrial Engineering and Operations Management, Orlando, USA

Publisher: IEOM Society International
Date of Conference: June 11-14, 2022

ISBN: 978-1-7923-9158-3
ISSN/E-ISSN: 2169-8767