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The Cloud-powered Hybrid Learning Process to Enhance Digital Natives' Analytical Reading Skills
International Journal of Advanced Computer Science and Applications ; 14(1):622-627, 2023.
Article in English | Scopus | ID: covidwho-2243668
ABSTRACT
Analytical reading is a necessary cognitive skill for advancing to other skills required in the digital age. Thailand is focused on the instructional development and use of digital media to enhance the digital natives' analytical reading skills, which will assist learners of all ages in effectively and quickly adapting to changes in the digital environment. After the COVID-19 pandemic situation, educational institutions in Thailand have begun to embrace a hybrid learning approach like never before. The limitations of the existing learning process for boosting digital natives' analytical reading skills are the lack of integration between reading techniques, hybrid pedagogies, and emerging learning technologies to enhance learners' seamless learning experiences. Thus, this study aims to propose the Cloud-powered Hybrid Learning process (Cp-HL process) to enhance digital natives' analytical reading skills. This study consisted of two main stages in the research

methodology:

1) learning process development;and 2) learning process evaluation. The developed Cp-HL process had four main learning phases (1) preparation for hybrid learning;(2) presentation for interactive learning;(3) practice with analytical reading;and (4) progress reports on analytical reading skills. All the experts agreed that the newly developed Cp-HL process performed extremely well in terms of overall suitability. © 2023, International Journal of Advanced Computer Science and Applications. All Rights Reserved.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: International Journal of Advanced Computer Science and Applications Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: International Journal of Advanced Computer Science and Applications Year: 2023 Document Type: Article