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Mobile learning use of smartphones in the post-pandemic era

Mobile learning use of smartphones in the post-pandemic era
Mobile learning use of smartphones in the post-pandemic era

Mobile learning in higher education is relatively new and has only been studied over the last 15 years. The outcomes of the existing literature (2007-22) are scattered in several directions: SelfRegulated Learning (SRL), Open Educational Practices (OEP), and Open Educational Resources (OER). During the COVID-19 pandemic, educational institutions were forced to adopt mobile learning strategies when schools, colleges and universities were closed. The authors have established what they term the A6 use metric to measure students and teachers performance in higher education based on their experiences and observations of: (i) Accessibility-representing the capacity of network technology; (ii) Affordability-representing the cost of ownership of smartphones/tablets; (iii) Adoptability-representing the individual s buying, downloading, installing, and starting to learn and use; (iv) Adaptability-representing the individual who needs to be able to deal with the unexpected and that which is beyond their experience; (v) Acceptability-representing individualistic acceptance and use of new technology; (vi) Appropriateness-referring to the course design model. The results showed that the majority of the participants (90%) had used their smartphones in an online learning situation. It indicated that three-quarters of the participants (75%) adapted and adopted well in terms of using their smartphones/tablets for learning and teaching. The reasons given included that they could save time and money by traveling to the campus. However, the disadvantages were the unexpected disruption of unstable networks, and the screen size of the smartphones/tablets that was rather small compared to their laptops. The reluctance to download the required reading materials for students was due to the limited memory of their smartphones or if the files were too large. Furthermore, half of the participants (50%) considered the online learning environment to be the same as the real classroom setting. Future research may involve building a new meta-verse classroom with the use of virtual reality and augmented reality sets to facilitate mobile learning and teaching pedagogy that will be employed in the context of a subject area within the Department of Multimedia Design at National Formosa University in Taiwan.

184-187
CRC Press
Shen, Siu Tsen
3d7a9237-0668-4ebe-87a5-2725b268fbd3
Prior, Stephen D.
9c753e49-092a-4dc5-b4cd-6d5ff77e9ced
Lam, Artde Donald Kin-Tak
Prior, Stephen D.
Shen, Siu-Tsen
Young, Sheng-Joue
Ji, Liang-Wen
Shen, Siu Tsen
3d7a9237-0668-4ebe-87a5-2725b268fbd3
Prior, Stephen D.
9c753e49-092a-4dc5-b4cd-6d5ff77e9ced
Lam, Artde Donald Kin-Tak
Prior, Stephen D.
Shen, Siu-Tsen
Young, Sheng-Joue
Ji, Liang-Wen

Shen, Siu Tsen and Prior, Stephen D. (2024) Mobile learning use of smartphones in the post-pandemic era. In, Lam, Artde Donald Kin-Tak, Prior, Stephen D., Shen, Siu-Tsen, Young, Sheng-Joue and Ji, Liang-Wen (eds.) System Innovation for a World in Transition: Applied System Innovation IX. Proceedings of the 9th International Conference on Applied System Innovation 2023 (ICASI 2023), Chiba, Japan, 21-25 April 2023. 9th International Conference on Applied System Innovation (21/04/23 - 25/04/23) CRC Press, pp. 184-187. (doi:10.1201/9781003460763-37).

Record type: Book Section

Abstract

Mobile learning in higher education is relatively new and has only been studied over the last 15 years. The outcomes of the existing literature (2007-22) are scattered in several directions: SelfRegulated Learning (SRL), Open Educational Practices (OEP), and Open Educational Resources (OER). During the COVID-19 pandemic, educational institutions were forced to adopt mobile learning strategies when schools, colleges and universities were closed. The authors have established what they term the A6 use metric to measure students and teachers performance in higher education based on their experiences and observations of: (i) Accessibility-representing the capacity of network technology; (ii) Affordability-representing the cost of ownership of smartphones/tablets; (iii) Adoptability-representing the individual s buying, downloading, installing, and starting to learn and use; (iv) Adaptability-representing the individual who needs to be able to deal with the unexpected and that which is beyond their experience; (v) Acceptability-representing individualistic acceptance and use of new technology; (vi) Appropriateness-referring to the course design model. The results showed that the majority of the participants (90%) had used their smartphones in an online learning situation. It indicated that three-quarters of the participants (75%) adapted and adopted well in terms of using their smartphones/tablets for learning and teaching. The reasons given included that they could save time and money by traveling to the campus. However, the disadvantages were the unexpected disruption of unstable networks, and the screen size of the smartphones/tablets that was rather small compared to their laptops. The reluctance to download the required reading materials for students was due to the limited memory of their smartphones or if the files were too large. Furthermore, half of the participants (50%) considered the online learning environment to be the same as the real classroom setting. Future research may involve building a new meta-verse classroom with the use of virtual reality and augmented reality sets to facilitate mobile learning and teaching pedagogy that will be employed in the context of a subject area within the Department of Multimedia Design at National Formosa University in Taiwan.

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More information

Published date: 1 January 2024
Additional Information: Publisher Copyright: 2024 the Author(s).
Venue - Dates: 9th International Conference on Applied System Innovation, , Chiba, Japan, 2023-04-21 - 2023-04-25

Identifiers

Local EPrints ID: 487152
URI: http://eprints.soton.ac.uk/id/eprint/487152
PURE UUID: 12e68066-115d-4526-838b-59581c9673ce
ORCID for Stephen D. Prior: ORCID iD orcid.org/0000-0002-4993-4942

Catalogue record

Date deposited: 14 Feb 2024 17:42
Last modified: 15 Nov 2024 02:46

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Contributors

Author: Siu Tsen Shen
Editor: Artde Donald Kin-Tak Lam
Editor: Stephen D. Prior
Editor: Siu-Tsen Shen
Editor: Sheng-Joue Young
Editor: Liang-Wen Ji

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