Abstract
Corona virus or most popularly known as the Covid-19 has paralyzed the people movement as well as various sectors that includes the education sector. Henceforth, it gave a breakthrough for academia to venture themselves into work from home with the aid of information technology. It is known as online teaching and learning (OTL). Frequent and continuous usage of OTL to conduct lessons for learners from home may take a toll on the health aspect of academicians. Demographic factors associating with the factors related to ergonomic settings among academicians will be the focus of this study. Data was collected from private universities in Malaysia by using online platform. Association rules technique based on unsupervised approach had been used to find interesting patterns between demographics and ergonomic settings. With association rules, finding co-occurrences of demographics factors leading to the factors of ergonomic settings is the main strength of the technique. Despite many researchers in the past has done ergonomics studies in various areas/fields, only simple and descriptive statistical techniques were used. At present, there is no research work reported using the association rules technique in the educational field in the context of ergonomics. Association rules algorithms FP-Growth and Apriori were used and the evaluation metrics used in this study were support, confidence and lift. The results from this study indicated that the academic group with demographic factors (Married, Male) particularly vulnerable to the risk of mental health while the academic group (Married, Female, Years of experience is less than 10 years) did not have adequate ergonomics facilities at home and lacked a better sense of interpretation of the information provided to them by the management in the process of executing OTL. The results could facilitate further improvements to establish good working conditions for academicians to use OTL from home. The management could undertake the necessary initiatives targeting specific academic groups to address the issues facing them.
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SPR, C.R., Sangodiah, A., Talib, L.S.A., Jalil, N.A., Hui Nee, A.Y., Subramaniam, S. (2021). Investigation on Ergonomic Well-Being for Academician’s Work from Home Arrangements by Using Association Rules Technique. In: Black, N.L., Neumann, W.P., Noy, I. (eds) Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). IEA 2021. Lecture Notes in Networks and Systems, vol 220. Springer, Cham. https://doi.org/10.1007/978-3-030-74605-6_12
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