2023/08/01 by Natalia Kucirkova, Sandra Leaton Gray · 32 citations
Engineering · Psychology · Social Sciences · #Computer science #Cooperative learning #Democracy #Educational Theory and Curriculum Studies #Engineering #Engineering ethics #Epistemology #Identity (music) #Knowledge management #Open learning #Pedagogy #Personalization #Personalized learning #Political science #Politics #Psychology #Relation (database) #Sociology #Teaching method #Value (mathematics) #World Wide Web
paper · pdf · doi:10.1111/edth.12590
published in Educational Theory 73(4), 469-489 (Wiley)
openalex publication_date 2023/08/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/23
Abstract This essay explains how, from the theoretical perspective of Basil Bernstein's three “conditions for democracy,” the current pedagogy of artificially intelligent personalized learning seems inadequate. Building on Bernstein's comprehensive work and more recent research concerned with personalized education, Natalia Kucirkova and Sandra Leaton Gray suggest three principles for advancing personalized education and artificial intelligence (AI). They argue that if AI is to reach its full potential in terms of promoting children's identity as democratic citizens, its pedagogy must go beyond monitoring the technological progression of personalized provision of knowledge. It needs to pay more careful attention to the democratic impact of data‐driven systems. Kucirkova and Leaton Gray propose a framework to distinguish the value of personalized learning in relation to pluralization and to guide educational researchers and practitioners in its application to socially just classrooms.