In this episode of Unfixed, Nik and Zach take on a difficult but necessary conversation about nostalgia in higher education. Using real media headlines, faculty experiences, and their own teaching histories, they explore how AI panic taps into a deeper longing for a pre-pandemic, pre-ChatGPT past that may never have been as stable as we remember. The discussion unpacks what nostalgia is, why it’s so powerful right now, and how scapegoating AI can obscure long-standing challenges around reading, writing, and motivation. Rather than a call to “go back,” this episode walks the line between insight and wake-up—arguing that AI often reveals what’s already broken and, in some cases, opens space to fix it.
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In this episode of Unfixed, Nik and Zach take on a difficult but necessary conversation about nostalgia in higher education. Using real media headlines, faculty experiences, and their own teaching histories, they explore how AI panic taps into a deeper longing for a pre-pandemic, pre-ChatGPT past that may never have been as stable as we remember. The discussion unpacks what nostalgia is, why it’s so powerful right now, and how scapegoating AI can obscure long-standing challenges around reading, writing, and motivation. Rather than a call to “go back,” this episode walks the line between insight and wake-up—arguing that AI often reveals what’s already broken and, in some cases, opens space to fix it.
Assistants are no longer exclusive to research institutions, AI is becoming an essential tool for educators and researchers across higher education. In this episode, we explore how generative AI is transforming academic work, from streamlining research processes to enhancing teaching strategies, offering a new kind of support for professionals navigating the demands of modern academia. We also examine the implications for retention, tenure, and promotion (RTP).
Unfixed: How AI Is Reshaping the University
In this episode of Unfixed, Nik and Zach take on a difficult but necessary conversation about nostalgia in higher education. Using real media headlines, faculty experiences, and their own teaching histories, they explore how AI panic taps into a deeper longing for a pre-pandemic, pre-ChatGPT past that may never have been as stable as we remember. The discussion unpacks what nostalgia is, why it’s so powerful right now, and how scapegoating AI can obscure long-standing challenges around reading, writing, and motivation. Rather than a call to “go back,” this episode walks the line between insight and wake-up—arguing that AI often reveals what’s already broken and, in some cases, opens space to fix it.
