Calculation of mental load from e-learning student with NASA TLX and SOFI method

Atik Febriani, Anastasia Febiyani, Jaguar Ma’sum
{"title":"Calculation of mental load from e-learning student with NASA TLX and SOFI method","authors":"Atik Febriani, Anastasia Febiyani, Jaguar Ma’sum","doi":"10.30656/jsmi.v5i1.2789","DOIUrl":null,"url":null,"abstract":"The learning process between students and lecturers usually occurs face-to-face in class. Technological developments and a continuous pandemic change the learning process to be a face-to-face e-learning process. The mental load during face-to-face learning is very different from learning in e-learning. This study was built using ergonomic thinking that is integrated with the use of e-learning. Cognitive ergonomics see from the point of view of students' comfort in cognitive thinking processes when doing e-learning. Data processing and testing will use a questionnaire derived from the NASA-TLX method. The results obtained from this study are the mental load calculations of each NASA TLX calculation. NASA TLX calculations show that efforts with a value of 267.29 dominate students. It could indicate that in e-learning lectures, students need more effort in conducting lectures. In addition, students experience fatigue while participating in online learning. It can be seen from the average SOFI measurement, which is only 1.26.","PeriodicalId":53057,"journal":{"name":"Jurnal Sistem dan Manajemen Industri","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Sistem dan Manajemen Industri","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30656/jsmi.v5i1.2789","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

The learning process between students and lecturers usually occurs face-to-face in class. Technological developments and a continuous pandemic change the learning process to be a face-to-face e-learning process. The mental load during face-to-face learning is very different from learning in e-learning. This study was built using ergonomic thinking that is integrated with the use of e-learning. Cognitive ergonomics see from the point of view of students' comfort in cognitive thinking processes when doing e-learning. Data processing and testing will use a questionnaire derived from the NASA-TLX method. The results obtained from this study are the mental load calculations of each NASA TLX calculation. NASA TLX calculations show that efforts with a value of 267.29 dominate students. It could indicate that in e-learning lectures, students need more effort in conducting lectures. In addition, students experience fatigue while participating in online learning. It can be seen from the average SOFI measurement, which is only 1.26.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用NASA TLX和SOFI方法计算电子学习学生的心理负荷
学生和老师之间的学习过程通常是面对面的。技术发展和持续的流行病使学习过程变成了面对面的电子学习过程。面对面学习的心理负荷与网络学习有很大的不同。本研究采用人体工程学思维,结合电子学习的使用。认知工效学是从学生在进行电子学习时的认知思维过程中的舒适度角度出发的。数据处理和测试将使用来自NASA-TLX方法的问卷。本研究得到的结果是每次NASA TLX计算的心理负荷计算。NASA TLX计算显示,努力值为267.29的学生占多数。这可以说明在网络学习的课堂上,学生需要在讲课上付出更多的努力。此外,学生在参与在线学习时感到疲劳。从SOFI的平均测量值可以看出,只有1.26。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
10
审稿时长
12 weeks
期刊最新文献
Implementation system monitoring and control temperature and pH in urban silver catfish hatchery to enhance efficiency and responsiveness based on IoT Optimizing business location for small and medium enter¬prises considering travel time uncertainty, natural disasters, and density population: a study case in Jakarta Economic production quantity model with defective items, imperfect rework process, and lost sales Supply chain performance measurement incorporating green factors using the supply chain operations reference on a fertilizer company Intelligent optimisation for multi-objectives flexible manufacturing cells formation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1