Speech Data for Learning Scientists 101

A Virtual Workshop from the Using Generative Artificial Intelligence for Reading R&D Center

About the Workshop

Technologies like automatic speech recognition (ASR), natural language processing (NLP), and voice-based analytics are increasingly embedded in educational tools and research platforms. Speech and audio data are opening new opportunities for how researchers study reading, language development, and classroom interaction. The data systems and opportunities for research are new and hold great promise for greater insight and programming in the future.

Supported by the Institute of Education Sciences, the U-GAIN Reading Center is hosting Speech Data for Learning Scientists 101, a free virtual workshop developed to help graduate students explore emerging uses of speech technology and build capacity to use large-scale datasets. Over two half-day sessions, participants will:

  • gain a working understanding of advancements in speech and audio technologies,
  • explore how these tools are being used in education research and practice today, and
  • connect with peers and experts on key topics associated with speech data
  • identify concrete opportunities to incorporate speech data into their own work.

This workshop is part of the U-GAIN Reading national leadership mission to build research capacity at the intersection of AI, the Science of Reading, and literacy instruction.

Overview

Two half-day sessions.
Day 1 (August 13, 2026) will include a series of expert panels, interactive discussions, and hands-on activities will introduce the landscape of speech data in education research
Day 2 (August 18, 2026) is designed to be highly interactive, with participants developing ideas, pitching them, and getting real-time feedback.

More details coming soon.