Students’ perceived workload, stress, fatigue and performance during the remote learning setup: A semester-long study
Abstract
The COVID-19 pandemic has largely impacted college students as they reported experiencing increased workload, stress, and fatigue in the remote learning setup, which could potentially affect student learning and academic performance. This study investigated the experiences of 3rd year Industrial Engineering students at the University of the Philippines Diliman in the remote learning setup for the 2nd Semester of the Academic Year 2021-2022. The study measured students’ perceived workload (PWL), perceived stress (PS) and stress symptoms experienced, perceived fatigue (PF), and perceived academic performance weekly throughout the semester. Participant demographics and weekly activities were documented. Fifty-five (55) students completed the 17-week study with questionnaires administered through Qualtrics. The results indicate that the perceptions of workload, stress, fatigue and academic performance differed significantly between weeks in the semester, as well as between the participants’ sex. Hours spent by students on different activities during the semester were shown to significantly affect their perceived workload, stress, fatigue, and academic performance. Finally, the perceived workload correlated with perceived stress and perceived fatigue, which were also significantly correlated with the student's perceived academic performance.
Keywords: perceived workload, perceived stress, perceived fatigue, academic performance, remote learning
DOI: 10.54941/ahfe1003161
Cite this paper
More from this volume
- Comparing students' perceptions of technical drawing teaching before and after COVID-19 emergency
- Educational game to stimulate phonological awareness in elementary school children
- Relationship between preference for the existence of teacher images and learning effects in online learning for junior high school students
- Methods and tools in Remote Learning during the Covid-19 Pandemic - a case study
- Competent university teachers for digital learning in OSH
- An automated machine learning approach for early identification of at-risk maritime students
- Optimization strategy of interaction design for foreign language asynchronous online learning
- The language dimension of mental models in digital learning environments
- Developing comprehensive sex education smart tools for the young generation with co-design: sex education for parents and children at home
- Forms of Alliances between Humans and Technology: The Role of Human Agency to Design and Setting up Artificial Intelligence-based Learning Tools
- Exploring alternative performance evaluation method in nautical simulations
- Factors affecting Perceived Earthquake Preparedness Behavior among Senior High School Graduates in the Philippines


AHFE Open Access