 Measuring public opinion of education appsF. Javier Rondan-Cataluña, Begoña Peral-Peral and Patricio Ramírez-Correa Technological Forecasting and Social Change, 2023, vol. 188, issue C Abstract: 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. Keywords: Twitter; Sentiment analysis; Digitalization; Education; Latent Dirichlet Allocation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:188:y:2023:i:c:s0040162522007983 DOI: 10.1016/j.techfore.2022.122277 Access Statistics for this article Technological Forecasting and Social Change is currently edited by Fred Phillips More articles in Technological Forecasting and Social Change from Elsevier |
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