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The participants also thought that the context-aware mobile learning system was easy to use and was useful.
Our results confirm that the system is a suitably designed mobile learning system that can accelerate self-learning for ATCs.
In addition, the most highly-cited articles are found to focus on mobile learning system design, followed by system effectiveness.
Yarandi et al.[44] have developed a mobile learning system with four modules to enable courseware management, course content adaptation, test evaluation and course recommendation mediation.
Ahmed and Parsons (2013) developed a mobile learning system called ThinknLearn for supporting students' abductive science inquiry throughout the process of exploration, examination, selection, and explanation.
Tan et al. [13] presented the 5R adaptation framework for a location-based mobile learning system, which provides a standard structure for adaptive mobile learning systems.
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This paper aims to provide important information to researchers, educators and software developers of computer-based educational software ranging from e-learning and mobile learning systems to educational games including stand alone educational applications and intelligent tutoring systems.
Mobile learning systems should exhibit these capabilities to achieve efficient context-aware communication and interaction.
Section 2 reviews related work and discusses the main challenges for developing context-aware mobile learning systems.
The results lead to a set of implications in design, enactment and monitoring for the development of mobile learning systems.
In this study, a prompt-based annotation approach is proposed for developing mobile learning systems for architecture design courses.
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