Abstract
<p class="0abstract">Mobile learning applications (apps) are increasingly and widely adopted for learning purposes and educational content delivery globally, especially with the massive means of accessing the internet done majorly on mobile handheld devices. Users often submit their feedback on use, experience and general satisfaction via the reviews and ratings given in the digital distribution platforms. With this massive information given through the reviews, it presents an opportunity to derives valuable insights which can be utilized for various reasons and by different stakeholders of these mobile learning apps. This large volume of online reviews creates significant information overload which presents a time-consuming task to read through all reviews. By combining text mining techniques of topic modeling using Latent Dirichlet Algorithm (LDA) and sentiment analysis using Linguistic Inquiry Word Count (LIWC), we analyze these user reviews. These techniques identify inherent topics in the reviews and identifies variables of user satisfaction of mobile learning apps. The thematic analysis done reveals different keywords which guide classification into the topics identified. Conclusively, the topics derived are important to app stakeholders for further modifications and evolution tasks.</p>
Highlights
Smartphones, being a form of handheld devices, have mobile apps that are installable according to user preference; mobile apps are software applications developed for mobile devices
This paper evaluates user reviews of 10 top Massive Open Online Courses (MOOCs) apps on Google Play and App Store
Upon completion of the preprocessing stages, the texts are put through the Latent Dirichlet Algorithm (LDA) to identify inherent topics that would determine the classification of the subjects in the reviews
Summary
Smartphones, being a form of handheld devices, have mobile apps that are installable according to user preference; mobile apps are software applications developed for mobile devices. There are different categories of mobile apps downloadable from the respective distribution platforms, Google play store for android phones and App Store for iOS devices. Users’ feedbacks on these apps appear as reviews on the different platforms for the developers and other interested stakeholders. User reviews and ratings are essential variables in the development and upgrade of mobile apps. When requests made through user reviews are addressed with utmost satisfaction, the app rating will be high [1,2,3]. Online store reviews are free and fast crowd feedback mechanisms that developers can use as a backlog for the development process [2]
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