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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 1, 2023.
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 p ocess 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.
Sakolwan Napaporn, Sorakrich Maneewan, Kuntida Thamwipat and Vitsanu Nittayathammakul, “The Cloud-powered Hybrid Learning Process to Enhance Digital Natives’ Analytical Reading Skills” International Journal of Advanced Computer Science and Applications(IJACSA), 14(1), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140168
@article{Napaporn2023,
title = {The Cloud-powered Hybrid Learning Process to Enhance Digital Natives’ Analytical Reading Skills},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140168},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140168},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {1},
author = {Sakolwan Napaporn and Sorakrich Maneewan and Kuntida Thamwipat and Vitsanu Nittayathammakul}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.