Uncovering Synergistic Educational Injustices of COVID-19 and AI
Ahmad Banyasady (Malayer university)
TL;DR
This paper investigates how COVID-19 and AI integration in higher education have jointly exacerbated educational inequalities and cognitive challenges, based on student narratives from Iranian universities.
Contribution
It introduces a critical realism and narrative inquiry approach to uncover the intertwined effects of pandemic and AI on educational injustice.
Findings
COVID-19 and AI exposure deepen educational inequalities
Students experience cognitive disorientation due to unprepared AI integration
Long-term impacts of pandemic and AI on learning are significant
Abstract
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.
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