"A lot of people out there - including many of the listeners of this show who email us - are worried about the obvious problem: students using ChatGPT to cheat on assignments - and yes, some students definitely do. But when our team went and poked at the story, we found that the issues with AI in education go a lot deeper, to the very philosophy of education itself. The Decoder team sat down and talked to a lot of teachers - you'll be hearing many of their voices throughout this episode - and we kept hearing one common theme echoed from many of them: what are we even doing here?"
"As one instructional designer you'll hear says, "If this technology becomes more ubiquitous, we'll have courses created by AI, graded by AI, with submissions from students absolutely generated by AI. So it begs the question: What are we even doing here in higher ed?" Every teacher is having a different experience with AI in the classroom, and with their students, but the common thread is that a lot of those experiences feel bad. A few teachers who talked to us find tools like ChatGPT are helping their workflow, but a definite majority are facing those deep existential questions."
Generative AI is widely used by students and raises immediate academic integrity concerns such as AI-assisted cheating. The challenges extend beyond cheating to fundamental questions about the purpose and methods of education, assessment, and faculty roles. Teachers report widely varying classroom experiences: some find AI tools helpful for workflow, while many experience frustration and existential uncertainty. Education researchers and educational-technology experts are investigating how generative AI is integrating into learning environments and what future models of teaching, evaluation, and curriculum design might need to change.
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