Journal Industrial Servicess
Vol 11, No 1 (2025): April 2025

Analysis of mental workload during exams in hybrid learning in the new normal era post-pandemic

Yadi, Yayan Harry (Department of Industrial Engineering, Universitas Sultan Ageng Tirtayasa)
Umyati, Ani (Universitas Sultan Ageng Tirtayasa)
Mariawati, Ade Sri (Universitas Sultan Ageng Tirtayasa)
Lady, Lovely (Universitas Sultan Ageng Tirtayasa)
Dewantari, Nustin Merdiana (Universitas Sultan Ageng Tirtayasa)
Herlina, Lely (Universitas Sultan Ageng Tirtayasa)
Alvizar, Rezi (Universitas Sultan Ageng Tirtayasa)



Article Info

Publish Date
29 May 2025

Abstract

During the Covid-19 pandemic, most universities implemented distance learning to prevent the spread of the virus. After the pandemic, the learning process shifted to a hybrid method, combining both offline and online instruction. This hybrid system is applied to certain courses, featuring face-to-face classroom sessions alongside video conferencing for lectures. However, the hybrid learning approach has led to a decline in the student achievement index for some students, highlighting the need to evaluate their mental workload. Therefore, this study aimed to measure students’ mental workload during both online and offline exams using the NASA Task Load Index (NASA-TLX) method. The results showed a higher average mental workload score for offline exams compared to online exams. Statistical analysis revealed a significant difference between the scores, indicating a notable disparity in mental workload between offline and online exams. In conclusion, the mental workload associated with hybrid learning—particularly during exams—is considered high.

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Journal Info

Abbrev

jiss

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

Description

Jurnal Industrial Servicess merupakan wadah bagi peneliti untuk publikasi jurnal hasil penelitian yang ruang lingkupnya melingkupi: Logistics & Supply Chain Management Operations Research Quality, Reliability, and Maintenance Management Data Mining & Artificial Intelligence Production Planning & ...