Ayyildiz Ertugrul, Taskin Gumus Alev
Department of Industrial Engineering Yildiz Technical University İstanbul Turkey.
Department of Industrial Engineering Karadeniz Technical University Trabzon Turkey.
Hum Factors Ergon Manuf. 2021 Jul;31(4):397-411. doi: 10.1002/hfm.20908. Epub 2021 May 10.
Many governments decided to cancel face-to-face teaching and learning activities in schools and universities. They replaced them with online teaching and distance learning activities to prevent the spread of Coronavirus disease 2019 (COVID-19). Due to this sudden change, students experienced some anthropometric, environmental, and psychosocial difficulties at home during the distance learning process. This study focuses on determining the importance of anthropometric, environmental, and psychosocial factors in the distance learning process during the COVID-19 pandemic. This study presents main factors and their subfactors affecting ergonomic conditions of university students during distance learning. A novel distance learning ergonomics checklist is proposed based on the Occupational Safety and Health Administration checklists. The data are collected via a questionnaire filled by 100 university students who attend the Ergonomics course online. Then, the integrated methodology includes Voting Analytic Hierarchy Process integrated Pythagorean Fuzzy Technique for Order Preference by Similarity to An Ideal Solution method is adopted to prioritize the factors determined. Thirty-nine different subfactors are evaluated under five titles, and the most important factors are determined using the proposed methodology. With the results achieved, it is seen that the suggested checklist and proposed methodology can be used by public and private education organizations as a guide for improving their distance learning strategies.
许多政府决定取消中小学和大学的面对面教学活动。他们用在线教学和远程学习活动取而代之,以防止2019冠状病毒病(COVID-19)的传播。由于这一突然变化,学生们在远程学习过程中在家中遇到了一些人体测量学、环境和心理社会方面的困难。本研究的重点是确定在COVID-19大流行期间人体测量学、环境和心理社会因素在远程学习过程中的重要性。本研究呈现了影响大学生远程学习期间工效学条件的主要因素及其子因素。基于美国职业安全与健康管理局的检查表,提出了一种新颖的远程学习工效学检查表。数据通过100名参加在线工效学课程的大学生填写的问卷收集。然后,采用集成方法,即投票层次分析法集成毕达哥拉斯模糊理想解法,对所确定的因素进行优先级排序。在五个标题下对39个不同的子因素进行了评估,并使用所提出的方法确定了最重要的因素。根据所取得的结果,可以看出,建议的检查表和所提出的方法可以被公立和私立教育组织用作改进其远程学习策略的指南。