Towards a quality model of technical aspects for mobile learning services: An empirical investigation. (February 2016)

• Record Type: Journal Article
• Authors: Sarrab, Mohamed; Elbasir, Mahmoud; Alnaeli, Saleh
• Is Part Of: Computers in human behavior. Volume 55: Part A(2016)
• Page Start: 100
• Page End: 112
• Publication Date: 2016-02
• Subjects: Mobile learning -- Software quality -- Technical aspects -- Requirements engineering -- Human computing interaction; Interactive computer systems -- Periodicals; Man-machine systems -- Periodicals; 004.019
• DOI: 10.1016/j.chb.2015.09.003
• Languages: English
• ISSNs: 0747-5632

Abstract

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. Highlights: 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.