Identifying Ergonomic Factors Influencing Students’ Learning Motivation and Academic Performance in Online Classes (86260)

Session Information: Learning Experiences, Student Learning & Learner Diversity
Session Chair: Janice Gumasing

Wednesday, 27 November 2024 12:15
Session: Session 2
Room: Room 703 (7F)
Presentation Type: Oral Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

During the COVID-19 pandemic, students experienced significant mental and physical discomfort from taking online classes, which negatively impacted their motivation to learn and their academic performance. Studies have shown that students often have negative feelings about online learning, which raises concerns about their learning abilities and participation in school. To address this issue, this study aimed to identify the factors that affect students' learning motivation and academic performance in an online learning environment through an innovative ergonomic assessment framework.
A total of 316 respondents participated in an online survey conducted via social media platforms, using purposive sampling. The study simultaneously analyzed ergonomic indicators for physical, cognitive, and macro-ergonomics using multiple linear regression. The findings revealed that the design of the workstation, use of learning management systems (LMS), access to technology, teaching methods, temperature levels, and visual learning styles significantly influenced students' learning motivation, which in turn impacted their academic performance.
Therefore, it is crucial for those involved in distance learning to consider these motivating factors. This paper serves as a guide to help plan course programs effectively, ensuring their feasibility and engaging students productively, as online learning becomes increasingly prevalent. Additionally, it offers recommendations and insights to assist schools, educators, and students in enhancing learning motivation and academic performance.

Authors:
Janice Gumasing, De La Salle University, Philippines


About the Presenter(s)
Dr. Ma. Janice J. Gumasing is an Associate Professor in the Department of Industrial and Systems Engineering at De La Salle University.

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00