改进高等教育机构的应急网络教学及其对未来紧急情况的影响

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Information Discovery and Delivery Pub Date : 2023-11-02 DOI:10.1108/idd-01-2023-0005

Kim Hoe Looi

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引用次数: 0

摘要

目的本研究旨在从教师的角度探讨急诊网络教学的情境挑战，以及他们未来对在线教育的偏好。设计/方法/方法来自马来西亚各公立和私立大学和大学学院的165名教师参与了这项在线调查。数据采用多元回归分析。研究发现，未来在线教育的相对重要性面临的重大挑战是支持学习者、有效性、紧急网络教学的缺点和优点。本研究探讨了新冠肺炎突发公共卫生事件对未来高等教育教学的理论、实践和公共政策影响。

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Ameliorating emergency Web-enabled teaching in higher education institutions and implications for future emergencies

Purpose This study aims to investigate the contextual challenges of emergency Web-enabled teaching from instructors’ point of view and their future preference for online education. Design/methodology/approach A total of 165 instructors from various public and private universities and university colleges in Malaysia participated in this online survey. Data were analyzed using multiple regression. Findings The significant challenges for future preference for online education in terms of their relative importance were supporting learners, effectiveness, disadvantages and advantages of emergency Web-enabled teaching. Originality/value This study discusses theoretical, practical and public policy implications for the future of teaching in higher education due to the COVID-19 public health emergency.

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来源期刊

Information Discovery and Delivery INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

5.40

自引率

4.80%

发文量

期刊介绍： Information Discovery and Delivery covers information discovery and access for digital information researchers. This includes educators, knowledge professionals in education and cultural organisations, knowledge managers in media, health care and government, as well as librarians. The journal publishes research and practice which explores the digital information supply chain ie transport, flows, tracking, exchange and sharing, including within and between libraries. It is also interested in digital information capture, packaging and storage by ‘collectors’ of all kinds. Information is widely defined, including but not limited to: Records, Documents, Learning objects, Visual and sound files, Data and metadata and , User-generated content.