[期刊论文][research article]


Analysing user reviews of interactive educational apps: a sentiment analysis approach

作   者:
Aadi Swadipto Mondal;Yuang Zhu;Kaushal Kumar Bhagat;Nasser Giacaman;

出版年:2024

页     码:355 - 372
出版社:Routledge


摘   要:

ABSTRACT The aim of this study is to investigate the public opinion (i.e., the learners themselves) of apps incorporating emerging technologies Augmented Reality (AR) and Virtual Reality (VR) and find out how satisfied mobile platform users are with these technologies for educational purposes. We performed sentiment analysis of more than one million reviews from 800 different Android apps collected by systematic scrapping of the Google Play Store. Identified apps were separated into five categories: AR, AR+Educational, VR, VR+Educational, and Educational. We identify reviews from each app as positive, negative, or neutral, and apply aspect labels depending on the content of the review. We adopted Bidirectional Encoder Representations from Transformers (BERT) and classify the labels into seven categories: technical issues, usability, content, user interaction, feature request, learning qualities, and advert-related. The results indicate that the positive sentiments are 54.6% for AR, 49.6% for AR+Educational, 47.7% for VR, 71.4% for VR+Educational, and 75.2% for Educational. The results suggest that education apps that do not incorporate AR or VR are receiving higher user satisfaction than apps that incorporate these emerging technologies. Analyzing and understanding user reviews will help instructional designers, software developers, and hardware designers to resolve the key inhibitors .of these apps.



关键字:

Augmented reality;deep learning;educational apps;sentiment analysis;user reviews;virtual reality


所属期刊
Interactive Learning Environments
ISSN: 1049-4820
来自:Routledge