Abstract
Artificial intelligence tools are entering K–12 literacy classrooms at an unprecedented rate, yet most have not undergone independent validation. This brief examines how educators can evaluate AI tools through the lens of cognitive science and instructional design. Drawing on the Expanded Instructional Hierarchy (Odegard & Gierka, 2025), we present a framework that links learning phases to the memory systems and cognitive processes that underlie literacy development.
Keywords
artificial intelligence, literacy, instructional hierarchy, cognitive science
Date of this Version
3-2026
DOI
10.5703/1288284318566
Recommended Citation
Gierka, Megan V. and Odegard, Timothy N., "Artificial Intelligence in Literacy Education" (2026). Science of Reading. Paper 11.
http://dx.doi.org/10.5703/1288284318566