Suppr超能文献

为应对新冠疫情而突然转向远程学习:来自马来西亚的经验教训。

The sudden transition to remote learning in response to COVID-19: lessons from Malaysia.

作者信息

Salleh Mohd Idzwan Mohd, Alias Nor Aziah, Ariffin Suriyani, Ibrahim Zainuddin, Ramli Ahmad Razi, Aliman Sharifah

机构信息

College of Computing, Informatics and Media, Universiti Teknologi MARA, Puncak Perdana, Selangor Malaysia.

Faculty of Education, Universiti Teknologi MARA, Puncak Alam, Selangor Malaysia.

出版信息

Humanit Soc Sci Commun. 2023;10(1):254. doi: 10.1057/s41599-023-01751-6. Epub 2023 May 20.

Abstract

Higher education students are frequently required to assess lecturers with a convenient, fast, and anonymous learning management system. Following the coronavirus disease 2019 (COVID-19) pandemic outbreak, Universiti Teknologi MARA Malaysia (UiTM) adopted a remote teaching and learning approach. This study examined how lecturers' professionalism, course impression, and facilitating conditions at UiTM affected undergraduate and graduate students' remote learning pre- and mid-pandemic. The higher prediction accuracy of the model demonstrated that students' remote learning activities were highly related to lecturers' professionalism, course impression, and facilitating conditions. The structural model demonstrated that the -statistics of all measurement variables were significant at 1%. The strongest predictor of students' enjoyment of remote learning pre- and mid-pandemic was lecturers' professionalism. In the importance-performance matrix, lecturers' professionalism was in the quadrant for 'keep up the good work'. Facilitating conditions and course impression did not require further improvement even during the pandemic. The influence of remote learning was demonstrated in the students' graduation rates and grades. The results also presented theoretical and practical implications for the UiTM hybrid learning plan post-pandemic.

摘要

高等教育学生经常被要求通过一个方便、快捷且匿名的学习管理系统对讲师进行评估。自2019年冠状病毒病(COVID-19)大流行爆发后,马来西亚玛拉工艺大学(UiTM)采用了远程教学方法。本研究考察了UiTM讲师的专业素养、课程印象以及促进条件如何在疫情前和疫情中期影响本科生和研究生的远程学习。该模型较高的预测准确性表明,学生的远程学习活动与讲师的专业素养、课程印象以及促进条件高度相关。结构模型表明,所有测量变量的 -统计量在1%水平上均显著。疫情前和疫情中期学生远程学习满意度的最强预测因素是讲师的专业素养。在重要性-绩效矩阵中,讲师的专业素养处于“继续保持良好工作”象限。即使在疫情期间,促进条件和课程印象也无需进一步改进。远程学习的影响体现在学生的毕业率和成绩上。研究结果还为UiTM疫情后的混合学习计划提供了理论和实践启示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f08c/10199276/1da776ecfddd/41599_2023_1751_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验