Jesus Lopez
Data Scientist,
Southern New Hampshire University
From Sampled Feedback to Every Student Voice: Scaling Qualitative Learning Analytics with Hybrid AI
Thursday, October 01, 2026 | 3:15PM–4:15PM MT
Session Type:
Poster Session
Delivery Format:
Poster Session
Higher education institutions gather enormous amounts of qualitative student feedback, yet most decisions are still based on small samples that overlook important patterns and quietly shape conclusions. This session explores how a hybrid machine learning and generative AI approach can make it possible to analyze qualitative feedback at scale—across calls, surveys, and other student interactions—without losing reliability or trust. Grounded in applied research and institutional experience, the session examines what changes when every student voice is included, the methodological tradeoffs involved, and the governance considerations that matter when qualitative analytics move from samples to the full population.
