Uncovering Synergistic Educational Injustices of COVID-19 and AI
Fuente:
arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866918082914549760 |
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| author | Banyasady, Ahmad |
| author_facet | Banyasady, Ahmad |
| contents | Grounded in critical realism and using narrative inquiry, this article explores this article explores the long-term consequences of the COVID-19 pandemic and the rapid proliferation of artificial intelligence within higher education. Through the analysis of student narratives collected in Iranian university settings, the study reveals that learning experiences during and after the pandemic, coupled with unprepared exposure to AI tools, have generated hidden yet impactful layers of educational inequality and cognitive disorientation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_03095 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Uncovering Synergistic Educational Injustices of COVID-19 and AI Banyasady, Ahmad Computers and Society Artificial Intelligence Grounded in critical realism and using narrative inquiry, this article explores this article explores the long-term consequences of the COVID-19 pandemic and the rapid proliferation of artificial intelligence within higher education. Through the analysis of student narratives collected in Iranian university settings, the study reveals that learning experiences during and after the pandemic, coupled with unprepared exposure to AI tools, have generated hidden yet impactful layers of educational inequality and cognitive disorientation. |
| title | Uncovering Synergistic Educational Injustices of COVID-19 and AI |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2507.03095 |