AI Detection, Audio Learning, and When AI ‘Researches’
Your weekly update on AI in higher education. Brief.
Hello, it’s Monday. Let’s dive in.
1.
A U-TURN ON AI DETECTION
WHAT TO KNOW: For two years, Anna Mills resisted AI detection in her writing class. Then a student handed in work that wasn’t his, and he knew it. When quiet talks and patient questions led nowhere, the detector became part of a broader strategy to support student success.
LESSONS LEARNED: Mills won’t trust it outright and won’t let it decide, because nothing is that simple and nothing ever was. But the classroom has changed, and everyone in education must reckon with the tools that now exist - whether we like them or not.
From Anna Mills’ Substack
2.
ON AUDIO-BASED LEARNING
WHAT TO KNOW: Audio-based learning has long been overshadowed by video and text, but research shows it can boost comprehension, engagement, and memory retention. With AI tools like ElevenLabs and Google MusicFX, educators can now create dynamic, research-backed auditory experiences faster than ever.
WHY IT MATTERS: Audio’s potential in education has been overlooked, but generative AI is removing old barriers. The key isn’t just adopting AI-generated audio - it’s using it with intention. The best results come from combining research, design expertise, and the right tools.
From Dr Phil’s Newsletter
3.
DEEP RESEARCH, OR: WHEN THE MACHINE KNOWS BUT DOESN’T THINK
WHAT TO KNOW: Perplexity Deep Research pulls knowledge from anywhere and everywhere, making lengthy reports. It feels so certain, but research isn’t only about certainty. If students think AI does the thinking for them, they trade learning for convenience.
IMPLICATIONS: Higher education is based on curiosity and doubt, but AI doesn’t doubt. If students take its word as truth, they stop learning to ask why. And a world without questions doesn’t need thinkers.
From The Future of Higher Education
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