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research-article

Towards a quality model of technical aspects for mobile learning services

Authors:

Mohamed Sarrab,

Mahmoud Elbasir,

Saleh AlnaeliAuthors Info & Claims

Computers in Human Behavior, Volume 55, Issue PA

Pages 100 - 112

https://doi.org/10.1016/j.chb.2015.09.003

Published: 01 February 2016 Publication History

Abstract

Quality issues are commonly reported following the development of mobile learning applications. To evaluate and increase the chance of the successful development of new mobile learning products, the adoption of a complete and well-defined set of technical quality aspects for mobile learning development and their adoption in the education environment are proposed. This work describes a model that captures most abstract and generic technical aspects of mobile learning service quality, including availability, fast response times, flexibility, scalability, usability, maintainability, functionality, functionality, reliability, connectivity, performance, user interface and security. A set of technical quality aspects was developed following a literature study focussing on standards and guidelines for learning and mobile application software quality. The presented case studies point to a set of contextual technical quality factors that influence the choice of mobile learning application. The findings also indicate that there are causal relationships between learner satisfaction and the overall proposed model technical quality aspects. The model has a positive impact on overall learning process outcomes by evaluating the technical aspects while maintaining the quality of mobile learning delivered. The model components purportedly affect learning outcomes by assessing and improving the acceptability to stakeholders of the technical aspects of mobile learning. We propose a new model that captures most abstract and generic technical aspects of mobile learning.Four case studies were conducted with selected technical quality aspects in cumulative exercise.The case studies point to set of contextual technical quality factors influence mobile learning.The model evaluates technical aspects while maintaining delivered mobile learning quality.This effort is part of an Omani-funded research project investigating mobile learning in Oman.

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cover image Computers in Human Behavior

Computers in Human Behavior Volume 55, Issue PA

February 2016

604 pages

ISSN:0747-5632

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Copyright © Elsevier Ltd.

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Elsevier Science Publishers B. V.

Netherlands

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Published: 01 February 2016

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Cited By

Navarro-Cota CMolina ARedondo MLacave C(2024)A Comprehensive Usability Measurement Tool for m-Learning ApplicationsIEEE Transactions on Education10.1109/TE.2023.334719167:2(209-223)Online publication date: 17-Jan-2024
https://dl.acm.org/doi/10.1109/TE.2023.3347191
Bhattacharjee ARao KNawaz N(2023)Determinants and Outcomes of Food Delivery App Engagement During COVID-19Journal of Electronic Commerce in Organizations10.4018/JECO.32365521:1(1-22)Online publication date: 23-May-2023
https://dl.acm.org/doi/10.4018/JECO.323655
Peng C(2022)An Application of English Reading Mobile Teaching Model Based on K-Means AlgorithmMobile Information Systems10.1155/2022/31538452022Online publication date: 1-Jan-2022
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Ye PLiu L(2021)Influencing Factors of Intention to Use Mobile Devices for ReadingInternational Journal of Mobile and Blended Learning10.4018/IJMBL.202107010213:3(1-17)Online publication date: 1-Jul-2021
https://dl.acm.org/doi/10.4018/IJMBL.2021070102
Abu-Al-Aish A(2021)Exploring Technical Quality Factors That Enhance Mobile Learning Applications Services Using Data Mining TechniquesInternational Journal of Information and Communication Technology Education10.4018/IJICTE.20211001.oa1417:4(1-23)Online publication date: 1-Oct-2021
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Kizilcec RChen MJoyner DKizilcec RSinger S(2020)Student Engagement in Mobile Learning via Text MessageProceedings of the Seventh ACM Conference on Learning @ Scale10.1145/3386527.3405921(157-166)Online publication date: 12-Aug-2020
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Sarrab M(2019)Distance, Virtual, Electronic, Mobile and Ubiquitous Learning EnvironmentsProceedings of the 2019 7th International Conference on Information and Education Technology10.1145/3323771.3323813(36-43)Online publication date: 29-Mar-2019
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Hamzah APersada AHidayatullah A(2018)Towards a Framework of Mobile Learning User Interface DesignProceedings of the 2018 2nd International Conference on Education and E-Learning10.1145/3291078.3291080(1-5)Online publication date: 5-Nov-2018
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