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Can AI finally deliver one-to-one tutoring at scale?

In the first episode of Chalk & Code Season 2, the conversation turns to one of education technology’s biggest promises: using AI to deliver effective, personalized tutoring at scale. The episode explores how Mark Angel, CEO of Amira Learning, has helped turn decades of research in speech, natural language, and reading science into an AI-powered literacy tutor capable of listening to students read and responding in real time.

Mark traces Amira’s roots back to Carnegie Mellon University’s Project LISTEN, an ambitious research effort that began in the 1990s and ultimately produced decades of research into intelligent reading tutoring. He explains why successful edtech has to balance engagement with measurable efficacy, how consistent dosage and alignment with classroom instruction can improve outcomes, and why Amira increasingly measures its impact against the same state assessments districts use to evaluate student progress.


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About the guest

Mark Angel

Mark Angel is the co-founder and CEO of Amira Learning, an AI-powered literacy tutor built on more than 25 years of Carnegie Mellon University research. Before Amira, he served as CTO and Head of Products at Renaissance Learning, growing it into one of the most recognised names in K-12. He is a vocal advocate for outcomes-based contracting: the model where EdTech vendors are paid only when students achieve measurable growth.

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