STUDENTS’ PREFERENCES OF LEARNING MATERIALS DURING UNPRECEDENTED ONLINE LEARNING DUE TO COVID-19

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Malaysian Journal of Computer Science Pub Date : 2021-12-17 DOI:10.22452/mjcs.sp2021no1.4

‘Atifah Hanim Rosli, Norshahriah Abdul Wahab, S. N. Alsagoff, Mohd Rizal Mohd Isa, ‘Afizi Mohd Shukran

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引用次数: 1

Abstract

Teaching and learning processes in higher education have been affected due to the COVID-19 pandemic. Face-to face learning has been transitioned to online learning. This study explored student preferences for online materials during unprecedented online learning due to COVID-19. Through an online questionnaire, quantitative data was collected from 104 students from the Department of Computer Science, Faculty of Defence and Science Technology. The factors focused on in analysing the student’s preferences in online learning material include the layout, and multimedia analytics approach. The results present how multimedia analytics such as video, audio, graphic, and animation in online learning material play a significant role in the cognitive engagement and student’s motivation in online learning. Also, respondents preferred online learning materials with element of multimedia such as video and audio, rather than text only. This study presents suggestions on how to enhance online learning materials to improve online learning.

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新冠肺炎疫情下空前的在线学习中，学生对学习材料的偏好

由于COVID-19大流行，高等教育的教学过程受到了影响。面对面学习已经过渡到在线学习。本研究探讨了受新冠肺炎疫情影响，在前所未有的在线学习中，学生对在线材料的偏好。通过在线问卷调查，我们收集了来自国防与科学技术学院计算机科学系的104名学生的定量数据。在分析学生对在线学习材料的偏好时，关注的因素包括布局和多媒体分析方法。研究结果表明，在线学习材料中的视频、音频、图形和动画等多媒体分析在在线学习中的认知参与和学生动机中发挥了重要作用。此外，受访者更喜欢带有视频和音频等多媒体元素的在线学习材料，而不是纯文本。本研究就如何强化线上学习资料以改善线上学习提出建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Malaysian Journal of Computer Science COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS

CiteScore

2.20

自引率

33.30%

发文量

审稿时长

7.5 months

期刊介绍： The Malaysian Journal of Computer Science (ISSN 0127-9084) is published four times a year in January, April, July and October by the Faculty of Computer Science and Information Technology, University of Malaya, since 1985. Over the years, the journal has gained popularity and the number of paper submissions has increased steadily. The rigorous reviews from the referees have helped in ensuring that the high standard of the journal is maintained. The objectives are to promote exchange of information and knowledge in research work, new inventions/developments of Computer Science and on the use of Information Technology towards the structuring of an information-rich society and to assist the academic staff from local and foreign universities, business and industrial sectors, government departments and academic institutions on publishing research results and studies in Computer Science and Information Technology through a scholarly publication. The journal is being indexed and abstracted by Clarivate Analytics'' Web of Science and Elsevier''s Scopus