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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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05 July-September 2023, Volume 38 Issue 4
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Abstract
Abstract:
The foundational pillars of the digital economy are digital skills, which are defined as the ability to find, evaluate, use, share, and create digital content. In the field of education, most people agree that digital technology can enhance teaching and learning by creating more engaging and interactive learning environments, which motivates students to learn. Human resource management (HRM) practices are largely responsible for maintaining a positive environment for the effective use of technology in teaching and learning. This new digital age has vastly improved citizens' access to information. In the context of online learning delivery, instructors with digital skills play a crucial role in creating immersive learning spaces that offer students new ways to learn and play a pivotal role in guiding students to become ethical and responsible digital citizens. By reviewing relevant literature and conducting a qualitative analysis in the form of a focus group, this study employed a mixed methodology. The authors then proposed a new competency model for instructors, labelled the "Digital Instructor Model," within the context of innovative and virtual learning, encompassing five aspects: strategic; pedagogical; technical skills; human resource management; and technological readiness. The objective is to assist in the development of digital instructor skills and to meet the needs of digital-age students. The model will serve as a guide for carrying out effective digital instructions supporting successful implementations of e-learning systems.
Keyword
Digital Instructor, Human Resource Management, e-learning, Models.
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