Shayan Doroudi

Shayan Doroudi is an Assistant Professor at the School of Education, University of California, Irvine, where he conducts research at the intersection of artificial intelligence, learning sciences, and educational philosophy. His work bridges technical aspects of educational technology with critical perspectives on equity, history, and the philosophical foundations of learning.

Doroudi's research interests focus on what he calls the "foundations of learning about learning" and how these relate to the design of socio-technical systems that improve learning. He examines the philosophical, historical, sociological, ethical, and critical perspectives underlying learning sciences and AI in education. His work spans multiple domains including the equitability of student modeling algorithms, the history of learning theories in AI and learning sciences, epistemologies underlying student models, and the theoretical limits of student modeling.

His recent publications reveal a growing emphasis on generative AI in education, historical analysis of AI-education relationships, and equity considerations in educational technology. He has published extensively on the intertwined histories of artificial intelligence and education, examining how early AI pioneers were also influential in educational research. His work demonstrates a consistent concern with how beliefs about learning and knowledge influence educational technology design.

• "The intertwined histories of artificial intelligence and education" (2022/2023)
• "Equity and artificial intelligence in education" (2021-2022)
• "Technology in Education: Looking Back from 2020" (2019)
• "Fairer but not fair enough: On the equitability of knowledge tracing" (2019)

Doroudi's approach combines technical expertise in AI and learning analytics with deep critical perspectives on educational technology. His work on socio-technical systems emphasizes designing technologies that combine insights from people and machines while being equitable and informed by critical perspectives on learning. He has been increasingly focused on how generative AI is reshaping educational landscapes and what this means for foundational understandings of learning.