Towards a quality model of technical aspects for mobile learning services: An empirical investigation

Mohamed Sarrab, Mahmoud Elbasir, Saleh Alnaeli

Research output: Contribution to journalArticle

54 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)100-112
Number of pages13
JournalComputers in Human Behavior
Volume55
DOIs
Publication statusPublished - Feb 1 2016

Fingerprint

Learning
Mobile Applications
Maintainability
Application programs
User interfaces
Scalability
Education
Availability
Mobile Learning
Reaction Time
Software
Guidelines
Functionality

Keywords

  • Human computing interaction
  • Mobile learning
  • Requirements engineering
  • Software quality
  • Technical aspects

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Psychology(all)
  • Arts and Humanities (miscellaneous)

Cite this

Towards a quality model of technical aspects for mobile learning services : An empirical investigation. / Sarrab, Mohamed; Elbasir, Mahmoud; Alnaeli, Saleh.

In: Computers in Human Behavior, Vol. 55, 01.02.2016, p. 100-112.

Research output: Contribution to journalArticle

@article{869c759d73444fcd89467673541b2d71,
title = "Towards a quality model of technical aspects for mobile learning services: An empirical investigation",
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.",
keywords = "Human computing interaction, Mobile learning, Requirements engineering, Software quality, Technical aspects",
author = "Mohamed Sarrab and Mahmoud Elbasir and Saleh Alnaeli",
year = "2016",
month = "2",
day = "1",
doi = "10.1016/j.chb.2015.09.003",
language = "English",
volume = "55",
pages = "100--112",
journal = "Computers in Human Behavior",
issn = "0747-5632",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Towards a quality model of technical aspects for mobile learning services

T2 - An empirical investigation

AU - Sarrab, Mohamed

AU - Elbasir, Mahmoud

AU - Alnaeli, Saleh

PY - 2016/2/1

Y1 - 2016/2/1

N2 - 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.

AB - 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.

KW - Human computing interaction

KW - Mobile learning

KW - Requirements engineering

KW - Software quality

KW - Technical aspects

UR - http://www.scopus.com/inward/record.url?scp=84942155821&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84942155821&partnerID=8YFLogxK

U2 - 10.1016/j.chb.2015.09.003

DO - 10.1016/j.chb.2015.09.003

M3 - Article

AN - SCOPUS:84942155821

VL - 55

SP - 100

EP - 112

JO - Computers in Human Behavior

JF - Computers in Human Behavior

SN - 0747-5632

ER -