Rethinking AI Through a Literacy Lens: A Conversation with Viv Ramakrishnan

In this episode of Literacy Talks, we sit down with Viv Ramakrishnan, founder of Project Read AI, to explore the intersection of artificial intelligence, pedagogy, and equity in literacy instruction. Viv shares his journey from teacher to tech innovator, the surprising limits of AI in decoding language, and how real-time, research-based tools are being designed with teachers—and students—at the center.

SHOW NOTES

Resources Mentioned in This Episode

Project Read AI Viv Ramakrishnan’s platform offering AI-powered tools for literacy instruction. Tools include:

• Decodable Text Generator – Generates decodable stories aligned to various phonics scope and sequences.
• Fluency Passage Generator – Creates passages by grade level, aligned to readability research.
• Comprehension Question Generator – Builds questions aligned to Common Core or Florida B.E.S.T. standards.
• Decodable Games Generator – Generates literacy-based games like bingo and rolling reads.
• Assessment Planning Portal – Streamlines data collection and lesson planning based on encoding assessments.
• Student Tutor Tool – Provides real-time decoding and fluency practice based on individualized needs.

The Reading League Conference: Where Viv presented key insights into AI and literacy.

SPACHE Readability Study – Used to align fluency passages with grade-level readability.

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