-

Measuring What Matters (Pedagogy in the Age of AI Series 3 of 3)
Assessing Empathy, Self-Efficacy, and Collaboration in Community-First Learning Community-First Pedagogy in the Age of AI Series If community-first teaching changes how students learn, we must be able to show it. Not with vibes.Not with anecdotes.With visible growth. Community-based, AI-supported courses often produce powerful learning moments—students rethink assumptions, gain confidence, navigate complexity, collaborate more effectively. But…
|
-

AI as Scaffold (Pedagogy in the Age of AI Series 2 of 3)
Designing Ethical, Reflective AI Integration in Community-Based Courses Artificial intelligence is not the curriculum. It is not the instructor.It is not the learning outcome. Used well, it is something quieter and more powerful: a scaffold for thinking. In community-first courses—where students investigate real contexts, conduct interviews, analyze lived experiences, and reflect on ethical tensions—AI can…
|
-

Community-First Before Content (Pedagogy in the Age of AI Series 1 of 3)
Most courses begin with a familiar pressure: cover the content, keep pace, meet the outcomes. But students often leave asking the same question—why did this matter? Community-first teaching starts somewhere else entirely. It begins by anchoring learning in real contexts students already inhabit: neighborhoods, workplaces, cultural spaces, and lived challenges. When courses start with community…
|

