Data for: Augmented Reality Apps in Education: Exploring the User Experience through Data Mining
Description
This dataset is associated with the article "Augmented Reality Apps in Education: Exploring the User Experience through Data Mining". It contains a static collection of all the scripts needed to reproduce the methodology of the paper (methodology folder) and the results obtained and reported in the paper (results folder). The latter include the metadata of all applications scraped, the complete information of the reviews, the results after classification, the file containing the manual classification, and the IRR test. Along with the methodology, the next 3 external references were used, all the files used are linked in this repository and refereed in the corresponding step. 1. Google-Play Scraper: Olano, F. (2020). Google-Play Scraper, version 7.1.2. Retrieved from https://github.com/facundoolano/google-play-scraper#search 2. google-play-scraper: Jo, M. (2020). google-play-scraper, version 0.0.2.2. Retrieved from https://github.com/JoMingyu/google-play-scraper. 3. ARdoc tool: Panichella, S., Di Sorbo, A., Guzman, E., Visaggio, C. A., Canfora, G., & Gall, H. C. (2016). ARdoc: app reviews development oriented classifier. Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering - FSE 2016, (November), 1023–1027. https://doi.org/10.1145/2950290.2983938.