I am revisiting ideas from the past year on AI topics in Higher Education. The landscape for the tools changes quickly, but can universities and institutions of higher education keep up?
*When AI can write the essay, how do we measure the student?*
Traditional assessments, essays, quizzes, and take-home projects, were all designed for a world where human output was the baseline. Now, AI can perform these tasks with remarkable fluency, leaving educators wondering if we’re measuring learning or prompt engineering.
Here’s what must change:
* Shift to authentic performance. Evaluate collaboration, application, and reflection, the tasks AI cannot easily mimic.
* Assess the process, not just the product. Document how students engage, iterate, and learn with AI tools in the mix.
* Integrate AI fluency into rubrics. Judge how responsibly and effectively learners use these tools, not just whether they avoid them.
Assessment isn’t broken, it’s evolving. The institutions that adapt now will lead in defining academic excellence in the AI era.
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