AI, Assessment, and the Future of Learning: Keeping Humans in the Loop
Mar 09, 2026Artificial intelligence is reshaping higher education faster than most institutions expected. Instructional design, assessment, and content development are all being transformed.
The question is no longer whether AI will be used—but how.
In conversation with Christina Dryden, a clear philosophy emerged: experiment boldly, document carefully, and always keep humans in the loop.
Experimentation with Guardrails
Christina emphasized that AI adoption works best when institutions encourage experimentation within clear boundaries. Faculty and designers should feel empowered to test tools—but also supported in evaluating what works and what doesn’t.
Documentation becomes essential. Knowing how an assessment was generated, what prompts were used, and where AI struggled allows teams to replicate success and avoid repeated mistakes.
AI is not a shortcut—it’s an accelerator for thoughtful design.
Assessment in the Age of AI
Assessment presents one of the biggest challenges. When students can generate answers instantly, traditional quizzes and written responses lose validity.
Christina described a shift toward applied, authentic assessments—tasks that require judgment, context, and real-world reasoning. AI can support assessment design, but human expertise ensures rigor and relevance.
Importantly, students must learn how to use AI ethically and effectively—not simply how to bypass learning.
Designing for the Future
AI excels at pattern recognition, brainstorming, and synthesis. Humans excel at meaning-making, ethics, and judgment. The most effective learning environments combine both.
Institutions that succeed will not ban AI or blindly adopt it. They will integrate it intentionally, ensuring faculty remain central to learning design.
Reflection Question:
Where could AI enhance learning in your context—and where must human expertise remain non-negotiable?
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