REIMAGINING PRESCHOOL PEDAGOGY: AI-ENHANCED TEACHING THROUGH MULTILITERACIES-INFORMED CURRICULUM INNOVATION

The integration of Artificial Intelligence (AI) into early childhood education raises important pedagogical questions about how to design inclusive, multimodal learning experiences that nurture children’s agency and critical literacies. This paper analyzes sixty AI-enhanced teaching scenarios, developed during a national training program, through the lens of Multiliteracies and Learning by Design (LbD). Using thematic analysis, the study identifies how the four knowledge processes—Experiencing, Conceptualizing, Analyzing, and Applying—are supported or constrained by AI-enhanced multimodal activities. Rather than assessing the teachers' intentions, the study highlights the emergent pedagogical affordances and the potential of the LbD model for crafting flexible, inclusive, and socially embedded learning experiences within the Early Childhood Education (ECE) curriculum. The findings suggest that strong foundations are already in place for responsibly integrating Artificial Intelligence (AI) tools into preschool learning environments, while affirming that a systematic, multimodal, and culturally sensitive approach fosters early critical literacy development. Keywords: multiliteracies, learning by design, artificial intelligence, early education

Authors

Publication Details

Published
2025-06-16
DOI
https://doi.org/10.33225/balticste/2025.104
Primary Topic
Literacy, Media, and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

REIMAGINING PRESCHOOL PEDAGOGY: AI-ENHANCED TEACHING THROUGH MULTILITERACIES-INFORMED CURRICULUM INNOVATION

Παναγιώτης Αναστασιάδης, Konstantinos Kotsidis, Stamatios Papadakis, Kallia Katsampoxaki-Hodgetts
Literacy, Media, and Education
article

REIMAGINING PRESCHOOL PEDAGOGY: AI-ENHANCED TEACHING THROUGH MULTILITERACIES-INFORMED CURRICULUM INNOVATION

Παναγιώτης Αναστασιάδης, Konstantinos Kotsidis, Stamatios Papadakis, Kallia Katsampoxaki-Hodgetts
article en

Abstract

The integration of Artificial Intelligence (AI) into early childhood education raises important pedagogical questions about how to design inclusive, multimodal learning experiences that nurture children’s agency and critical literacies. This paper analyzes sixty AI-enhanced teaching scenarios, developed during a national training program, through the lens of Multiliteracies and Learning by Design (LbD). Using thematic analysis, the study identifies how the four knowledge processes—Experiencing, Conceptualizing, Analyzing, and Applying—are supported or constrained by AI-enhanced multimodal activities. Rather than assessing the teachers' intentions, the study highlights the emergent pedagogical affordances and the potential of the LbD model for crafting flexible, inclusive, and socially embedded learning experiences within the Early Childhood Education (ECE) curriculum. The findings suggest that strong foundations are already in place for responsibly integrating Artificial Intelligence (AI) tools into preschool learning environments, while affirming that a systematic, multimodal, and culturally sensitive approach fosters early critical literacy development. Keywords: multiliteracies, learning by design, artificial intelligence, early education

Openalex Percentile: Top 85%
Literacy, Media, and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.