Measuring public opinion of education apps
This study aims to analyze the opinion of the main agents involved in non-university public education - institutions and citizens - about a particular online educational application used as a way of communication between the aforementioned agents. To do this, we analyze the main topics, emotions and...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/165438 |
| Acceso en línea: | https://hdl.handle.net/11441/165438 https://doi.org/10.1016/j.techfore.2022.122277 |
| Access Level: | acceso abierto |
| Palabra clave: | Twitter Sentiment analysis Digitalization Education Latent Dirichlet Allocation |
| Sumario: | This study aims to analyze the opinion of the main agents involved in non-university public education - institutions and citizens - about a particular online educational application used as a way of communication between the aforementioned agents. To do this, we analyze the main topics, emotions and feelings reflected by the agents of the messages published on the social network Twitter to assess the effect of this educational application. We collected 7598 tweets (all of them in Spain between 2018-10-29 and 2021-10-29) using as the word of the query “iPasen” app used in Andalusia (Spanish region) to improve communication between teachers, parents, and students in the public education system. Then, all the tweets were classified between institutions or individuals. The proposed methodology allows us to obtain the main feelings of a very large group of people in a relatively easy way. And it allows managers of public or private educational organizations to track how those feelings evolve. |
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