Search
On-Site Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Search Tips
Change Preferences / Time Zone
Sign In
Bluesky
Threads
X (Twitter)
YouTube
This study explores the potential of artificial intelligence (AI)-driven feedback systems to enhance student writing by adopting a cultural-historical theoretical framework. Drawing on the works of Vygotsky and Galperin, the study investigates how feedback, when conceptualised as a cultural tool, can mediate cognitive development and foster self-regulated learning. Using the Essay Assessment Technology (EAT) developed through the AI4AfL project in Norway, the research examines three school-based writing interventions involving lower secondary students. The findings reveal that students who engaged with EAT demonstrated greater improvements in writing quality compared to peers using traditional feedback methods. The study concludes by offering seven design principles for AI-driven feedback systems grounded in cultural-historical theory, aimed at advancing both pedagogical practices and technological design.