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Educational Futures on Social Media: An Exploratory Study of X

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

We apply educational data science to investigate how educational futures are discussed on X. First, we introduce the concept of educational futures and emphasize their non-predictive nature. We then locate two distinct themes in academic discussion of educational futures: having “no future”, which is described as a matter of collective feelings, and the uneven distribution of future-making. Next, we apply natural language processing and social network analyses to these two themes in the field. Our preliminary results indicate users’ curiosity about the future and the influence of key users and communities in the discourse.

Original languageEnglish
Title of host publicationInformation Literacy in an AI-Driven World - 9th European Conference, ECIL 2025, Revised Selected Papers
EditorsSerap Kurbanoglu, Ipek Sencan, Yurdagül Ünal, Joumana Boustany, Sonja Špiranec, Denis Kos, Esther Grassian, Diane Mizrachi, Loriene Roy
Number of pages12
PublisherSpringer Science+Business Media
Publication date2026
Pages426-437
ISBN (Print)9783032172716
DOIs
Publication statusPublished - 2026
Event9th European Conference on Information Literacy, ECIL 2025 - Bamberg, Germany
Duration: 22. Sept 202525. Sept 2025

Conference

Conference9th European Conference on Information Literacy, ECIL 2025
Country/TerritoryGermany
CityBamberg
Period22/09/202525/09/2025
SeriesCommunications in Computer and Information Science
Volume2864 CCIS
ISSN1865-0929

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Keywords

  • educational data science
  • Futures
  • natural language processing
  • sentiment analysis
  • social media

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