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Cognitive load management in mobile learning systems: principles and theories
With the widespread adoption of mobile technologies, mobile-assisted learning is gaining lots of momentum. This new learning paradigm promotes education across different contexts, which is a key factor that contributes to enhancing learning irrespective of the conditions and location of the learner....
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417113/ http://dx.doi.org/10.1007/s40692-020-00173-6 |
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author | Curum, Brita Khedo, Kavi Kumar |
author_facet | Curum, Brita Khedo, Kavi Kumar |
author_sort | Curum, Brita |
collection | PubMed |
description | With the widespread adoption of mobile technologies, mobile-assisted learning is gaining lots of momentum. This new learning paradigm promotes education across different contexts, which is a key factor that contributes to enhancing learning irrespective of the conditions and location of the learner. Therefore, it creates an authentic learning setting whereby students can make meaningful connections to the real world while learning takes place. Previous research works in the field of mobile learning showed that improper design of learning elements is still present in mobile systems and consequently results in poor dynamic content adaptation. Some attempts to adapt learning contents with appropriate instructional design principles are conducted, but with moderate exploitation of smart technological assets in mobile learning systems and limited pedagogical reflections and cognitive factors. In this paper, a learning efficiency model chart is derived using important learning factors that can be considered to enhance mobile learning experiences. Some popular learning theories are analysed and compared with the proposed learning efficiency model chart. This investigation is considered to significantly reduce complexities that exist in mobile learning platforms and promote an enhanced mobile learning experience. |
format | Online Article Text |
id | pubmed-7417113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-74171132020-08-11 Cognitive load management in mobile learning systems: principles and theories Curum, Brita Khedo, Kavi Kumar J. Comput. Educ. Article With the widespread adoption of mobile technologies, mobile-assisted learning is gaining lots of momentum. This new learning paradigm promotes education across different contexts, which is a key factor that contributes to enhancing learning irrespective of the conditions and location of the learner. Therefore, it creates an authentic learning setting whereby students can make meaningful connections to the real world while learning takes place. Previous research works in the field of mobile learning showed that improper design of learning elements is still present in mobile systems and consequently results in poor dynamic content adaptation. Some attempts to adapt learning contents with appropriate instructional design principles are conducted, but with moderate exploitation of smart technological assets in mobile learning systems and limited pedagogical reflections and cognitive factors. In this paper, a learning efficiency model chart is derived using important learning factors that can be considered to enhance mobile learning experiences. Some popular learning theories are analysed and compared with the proposed learning efficiency model chart. This investigation is considered to significantly reduce complexities that exist in mobile learning platforms and promote an enhanced mobile learning experience. Springer Berlin Heidelberg 2020-08-10 2021 /pmc/articles/PMC7417113/ http://dx.doi.org/10.1007/s40692-020-00173-6 Text en © Beijing Normal University 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Curum, Brita Khedo, Kavi Kumar Cognitive load management in mobile learning systems: principles and theories |
title | Cognitive load management in mobile learning systems: principles and theories |
title_full | Cognitive load management in mobile learning systems: principles and theories |
title_fullStr | Cognitive load management in mobile learning systems: principles and theories |
title_full_unstemmed | Cognitive load management in mobile learning systems: principles and theories |
title_short | Cognitive load management in mobile learning systems: principles and theories |
title_sort | cognitive load management in mobile learning systems: principles and theories |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417113/ http://dx.doi.org/10.1007/s40692-020-00173-6 |
work_keys_str_mv | AT curumbrita cognitiveloadmanagementinmobilelearningsystemsprinciplesandtheories AT khedokavikumar cognitiveloadmanagementinmobilelearningsystemsprinciplesandtheories |