The Kids Are All Right: What Students Actually Say About AI

Students using AI in higher education are already drawing their own boundaries around authorship, cognitive offloading and academic integrity.

Dale and Nick examine findings from Jisc, HEPI and the 10,237-response Australian AIinHE survey, including widespread generative AI use, self-imposed limits and a persistent guidance gap. They also cover Claude watermarking, employability fears, AI’s effect on student writing and a student-led policy workshop at RMIT Vietnam.

Key moments

[00:00] — Student voice and the Word document authorship rule.
[04:28] — What 10,237 Australian students said about AI use and self-restraint.
[06:03] — Moral reasoning, stress and the limits of Claude watermarking.
[08:03] — Cognitive offloading, verification and Dale’s student advisory board.
[10:31] — Employability fears and the university AI-skills gap.
[14:29] — Smart glasses, assessment surveillance and scrutiny of students’ bodies.
[15:12] — AI, admissions writing and the gradual loss of an individual voice.
[18:19] — Self-report bias, direct AI-text inclusion and Dale’s objections.
[19:51] — Premature convergence, student motivation and designing before the prompt.
[21:59] — Students lead an inclusive AI-policy review at RMIT Vietnam.

Research mentioned

Jisc: Student perceptions of AI 2025
HEPI: Student Generative AI Survey 2026
AIinHE: 2026 emerging insights

🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache.

Every episode:
• Real tests of AI tools in education and professional workflows
• Fast, Monday-morning actions you can actually try
• Clear signal through the noise (no hype, no jargon)

👉 Subscribe on [YouTube] | [Apple Podcasts] | [Spotify]
👉 Share this with a colleague who still says “I’ll figure AI out later”
👉 Join the conversation on LinkedIn with #AdjunctIntelligence

Stay curious. Stay intelligent. Stay the human in the loop.