International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 184 - Number 35 |
Year of Publication: 2022 |
Authors: Muna Alrazgan, Nuha A. AlRajhi |
10.5120/ijca2022922449 |
Muna Alrazgan, Nuha A. AlRajhi . Learnability Evaluation Model for Android Mobile Applications. International Journal of Computer Applications. 184, 35 ( Nov 2022), 41-49. DOI=10.5120/ijca2022922449
Educational mobile applications have become an important tool in education. In addition, its spread played a major role in this field. In order to use it efficiently, we must adopt the concept of learnability. By applying some standards, learnability characterizes how easy it is to use a certain application. In other words, it is the answer to whether the users can complete simple tasks on their first attempt. This paper proposes a comprehensive evaluation model for learnability that can help define clear learnability dimensions based on several approaches to measure learnability. Hence, improves users’ learnability while using a mobile application targeting Android system mobile applications. The research approach will follow these steps: integration of multiple resources, building a framework, testing, and reporting results. We proposed a new learnability evaluation model for Android mobile applications. We will use this model as a basis for our framework to measure how learnable any Android mobile application is. Moreover, generates results using three integrated learnability methods: Performance measurement learnability curve as a logarithmic approximation, Petri-net approach through fitness value, and analytics through logs as well as other related measurements. The results of this study offer clear statistics for measuring Learnability and assets to improve the approach to designing a mobile application to be more learnable for users.