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Identifying Usability Issues of the Most Popular Mobile Education Apps from User Reviews


Affiliations
1 Research Scholar, Guru Nanak Dev University, Amritsar, India
2 Professor, Guru Nanak Dev University, Amritsar, India
 

The study of mobile apps is a hot research topic because of the expanding use of mobile devices around the world. App user reviews provide a channel of communication between app developers and their end users. They are the best source for understanding user opinions and concerns. Analysis of mobile education apps from various angles and contexts is revealed by several literature reviews. However, there is hardly any study analyzing the emerging issues of Adults education apps in the body of literature. The goal of this study is to identify the main topics related to emerging usability issues in user reviews of the apps on the Google Play Store. The study analyses 2,28,660 negative reviews and 9,93,460 positive user reviews of the top five popular education-related apps (Coursera, Edx, LinkedIn, Skillshare, and Udemy) using Natural Language Processing tasks such as Latent Dirichlet Algorithm (LDA). The results identify several inherent topics in the negative reviews such as account login issues, security and privacy issues, payment issues, content-related issues, app usability issues, customer service issues, and bug-fixing issues. On the other way, the analysis of positive reviews reveals ease of use, the best learning app, user-friendly and great platform.

Keywords

Mobile Education, Adult Apps, Topic Modelling, Latent Dirichlet Allocation (LDA), User Reviews.
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  • Identifying Usability Issues of the Most Popular Mobile Education Apps from User Reviews

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Authors

Kiranbir Kaur
Research Scholar, Guru Nanak Dev University, Amritsar, India
Kuljit Kaur
Professor, Guru Nanak Dev University, Amritsar, India

Abstract


The study of mobile apps is a hot research topic because of the expanding use of mobile devices around the world. App user reviews provide a channel of communication between app developers and their end users. They are the best source for understanding user opinions and concerns. Analysis of mobile education apps from various angles and contexts is revealed by several literature reviews. However, there is hardly any study analyzing the emerging issues of Adults education apps in the body of literature. The goal of this study is to identify the main topics related to emerging usability issues in user reviews of the apps on the Google Play Store. The study analyses 2,28,660 negative reviews and 9,93,460 positive user reviews of the top five popular education-related apps (Coursera, Edx, LinkedIn, Skillshare, and Udemy) using Natural Language Processing tasks such as Latent Dirichlet Algorithm (LDA). The results identify several inherent topics in the negative reviews such as account login issues, security and privacy issues, payment issues, content-related issues, app usability issues, customer service issues, and bug-fixing issues. On the other way, the analysis of positive reviews reveals ease of use, the best learning app, user-friendly and great platform.

Keywords


Mobile Education, Adult Apps, Topic Modelling, Latent Dirichlet Allocation (LDA), User Reviews.

References