AI Literacy and Critical Digital Literacy in School Practice: Collaborative Digital Writing as a Cognitive and Instructional Model for 21st Century Learning

Read full text
Authors: Christos Simos, Theodora Tzianakopoulou, Alexandra Papachristou, Styliani Nestoratou, Aikaterini Galiotou, Evangeli Xyloparkioti
Cited by: 2

Abstract

The rapid expansion of Artificial Intelligence (AI) in educational settings has transformed writing practices, assessment structures, patterns of student engagement, and underlying epistemological assumptions about knowledge production. While AI systems offer unprecedented opportunities for cognitive scaffolding, emotional regulation, and inclusive participation, they simultaneously challenge traditional notions of authorship, intellectual agency, and pedagogical authority. The integration of AI into school practice therefore requires robust theoretical grounding, ethical governance, and organizational coherence. This article develops a comprehensive, human centered framework that connects AI literacy, critical digital literacy, collaborative digital writing, metacognition, emotional intelligence, and organizational culture in secondary education. Drawing upon interdisciplinary research in areas such as AI and adolescent emotional well being, AI and school related anxiety, collaborative ICT based inclusion, digital tools as cognitive instruments, technology as cultural bridge building practice, organizational culture and school vision, metacognition and emotional intelligence models, theory of mind in ICT contexts, digitally assisted mindfulness, and psychoanalytic cultural theory, the study proposes a multilayered instructional model for AI supported collaborative digital writing. The article argues that AI literacy must be cultivated not merely as technical competence but as epistemic responsibility embedded within reflective, relational, and culturally coherent school ecosystems. Collaborative digital writing emerges as a pedagogically optimal environment for fostering metacognitive regulation, socio emotional awareness, critical evaluation, and inclusive participation. The study concludes that AI integration in education must be guided by visionary leadership, organizational culture, ethical transparency, and human centered pedagogical design.

Fields of Study & Subjects

Digital Education and Society Educational Leadership and Innovation Literacy Media and Education

Publication details

Journal / source
Global Journal of Engineering and Technology Advances
Publisher
GSC Online Press
Volume
26
Issue
3
Pages
063–080
Publication date
9 March 2026