Recap
Authentic Assessment in the Era of AI
Generative AI is reshaping how students draft, iterate, and present their work, raising important questions about what authentic learning looks like in this new landscape. In our recent webinar, Authentic Learning in the Era of AI, our guests, Chris Ostro and Karen Crouch from the University of Colorado, Boulder, explored how small shifts anchored in clear audiences, meaningful artifacts, and reflective transparency, create assessments that are engaging, resilient, and worthy of student portfolios.
Through shared experiences and practical examples, the conversation highlighted how AI can serve as both a challenge and an opportunity for strengthening integrity, transparency, and relevance in academic work.
Key Takeaways
Authenticity Is About Process, Not Just Product
Our guests emphasized that polished outputs are no longer reliable evidence of learning. What matters most is making students’ thinking visible through drafts, rationale statements, and reflection.
Scaffolding Builds Integrity and Deeper Learning
Checkpoints strengthen accountability, surface misconceptions earlier, and help students document their own voice across time. These include reflections, progress updates, and small milestone submissions.
Transparent AI Use Should Be Normalized
Rather than prohibiting AI, our guests encouraged building clear expectations around how it may be used. Transparency supports academic integrity and prepares students for real-world practice.
Real-World Tasks Strengthen Motivation and Credibility
Assignments connected to authentic audiences, workplace scenarios, or community needs create naturally meaningful work that is harder to outsource and easier to personalize.
Reflection Is a Powerful Anti-Shortcut Mechanism
Whether written or spoken, reflective prompts require students to explain decisions, intentions, and learning – elements AI cannot convincingly fabricate.
Rubrics Should Reward Thinking, Not Just Output Quality
Effective rubrics evaluate the quality of reasoning, evidence of iteration, and appropriate use (or non-use) of AI tools. Prioritizing process supports both mastery and integrity.
AI Can Be a Partner in Learning When Assignments Are Well-Designed
When educators shift focus to thinking, reasoning, and application, AI becomes a tool for exploration, not a shortcut to bypass learning.
Conclusion
The discussion underscored a clear message: authentic assessment remains possible when it is grounded in process, reflection, and real-world purpose. By designing activities that surface student reasoning and encourage responsible tool use, educators can create learning experiences that are both resilient to AI and enriched by it.
We invite you to explore these ideas further by watching the full webinar recording and considering how these strategies might support your own work with students.
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