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Online Learning Model for Graduate Level to Support COVID-19 Pandemic

  • Conference paper
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Innovative Technologies and Learning (ICITL 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14099))

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Abstract

The COVID-19 Outbreak Situation caused educational institutions to close teaching to prevent the spread of harmful infections to students and other related personnel when the school was closed but students still had to study continuously. Online teaching is therefore the fastest and most suitable way to solve problems that arise; most especially at the graduate level Master’s Degree Ph.D. or even post-doctoral studies. It is very important that students and teachers have proper communication in order to achieve the desired academic achievements. This research presents an appropriate model for postgraduate online teaching in response to the COVID-19 time. The format consists of three activities: before, during and after online classes for students and teachers. In this regard, students and teachers can adapt to use according to their own suitability and the situation they are facing.

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Correspondence to Chantana Viriyavejakul .

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Viriyavejakul, C. (2023). Online Learning Model for Graduate Level to Support COVID-19 Pandemic. In: Huang, YM., Rocha, T. (eds) Innovative Technologies and Learning. ICITL 2023. Lecture Notes in Computer Science, vol 14099. Springer, Cham. https://doi.org/10.1007/978-3-031-40113-8_33

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  • DOI: https://doi.org/10.1007/978-3-031-40113-8_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-40112-1

  • Online ISBN: 978-3-031-40113-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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