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 language | English |
|---|---|
| Title of host publication | Information Literacy in an AI-Driven World - 9th European Conference, ECIL 2025, Revised Selected Papers |
| Editors | Serap Kurbanoglu, Ipek Sencan, Yurdagül Ünal, Joumana Boustany, Sonja Špiranec, Denis Kos, Esther Grassian, Diane Mizrachi, Loriene Roy |
| Number of pages | 12 |
| Publisher | Springer Science+Business Media |
| Publication date | 2026 |
| Pages | 426-437 |
| ISBN (Print) | 9783032172716 |
| DOIs | |
| Publication status | Published - 2026 |
| Event | 9th European Conference on Information Literacy, ECIL 2025 - Bamberg, Germany Duration: 22. Sept 2025 → 25. Sept 2025 |
Conference
| Conference | 9th European Conference on Information Literacy, ECIL 2025 |
|---|---|
| Country/Territory | Germany |
| City | Bamberg |
| Period | 22/09/2025 → 25/09/2025 |
| Series | Communications in Computer and Information Science |
|---|---|
| Volume | 2864 CCIS |
| ISSN | 1865-0929 |
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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