Speech Data for Learning Scientists 101

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

About the Convening

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 convening 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 convening 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.

Registration

No prior experience with automatic speech recognition (ASR) or natural language processing (NLP) required.

Day 1 (August 13, 2026 at 9:30 am PT) will include a series of expert panels, interactive discussions, and hands-on activities will introduce the landscape of speech data in education research. Register here for Day 1.

Day 2 (August 20, 2026 at 9:30 am PT) is designed to be highly interactive, with participants developing ideas, pitching them, and getting real-time feedback. Register here for Day 2.