As we move further into the second half of the semester, this monthly note offers a space to pause and reflect, featuring teaching practices, shared insights, and upcoming conversations to support your work in the classroom.
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Class participation can take many forms, but how clearly is it defined for your students in your course? (Click image to enlarge ↓ )
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When expectations are explicit, students are more likely to show up, contribute, and learn from one another.
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Group work can be unpredictable for both students and faculty. Who students are paired with often shapes the quality of their learning experience, yet forming groups that meaningfully support strong collaboration isn’t easy.
Peerceptiv Group Formation feature supports a more intentional approach to forming groups by automatically building balanced teams based on student survey responses.
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Want to explore this for your course? Wagner Learning Innovation is happy to partner with you.
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Upcoming Conversations at Wagner and Beyond |
Check out the following events for insights into teaching, learning, and AI.
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Innovating Fair Final Assessments of Student Learning — NYU CTL
Wednesday, March 25, 2026 | Join us for a special edition of Edu on Air for an inside look at new AI training, built by Google experts. This training helps people get hands-on practice with AI tools, so they can build in-demand skills that employers are looking for. Discover how you can help your campus leverage AI to handle busy work, spark ideas, and get more done, faster.
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AI for Teaching & Learning |
Looking for quick, practical ways to use AI in your teaching? This Gemini Faculty Fundamentals playlist features short, bite-sized videos (most under 3 minutes) on using Gemini and NotebookLM to support student engagement, streamline course prep, and enhance course design.
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Need a Thought Partner? If you’re thinking about a new activity, assignment, or tool, or just want to talk through a teaching idea, our team is happy to think it through with you. Reach out anytime. Sometimes a short conversation is all it takes to turn an idea into something workable.
If you’re looking for examples, guides, or AI-related teaching resources, you can also explore the Teaching & Learning@Wagner site, where we curate materials faculty can dip into as needed.
All the best,
Wagner Learning Innovation
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