๐ Research Article
Rethinking Generative AI Literacy: An Integrative, Developmental, and Dialectical Framework for K-12 Teacher Education
RAIL-Ed is an integrative, developmental, and dialectical framework for generative AI literacy in K-12 teacher education, built from a systematic review of 67 studies and specifying six interdependent pillars with a three-level maturity rubric.
Shahin Hossain, Sima Ahmadi, Leqi Li, Idowu David Awoyemi, Wei Huang, Chenxi Zhou, Jujia Li, Samaa Haniya, Shapla Khanam, Tasbirun Mashreka Subaha โ arXiv (cs.CY / cs.HC) preprint, 2026 (UMBC, Kent State, Penn State, University of Alabama, etc.).
Synthesis
Developed through a systematic review and qualitative framework analysis of 67 studies (2023-2025), grounded in critical, pragmatist, sociocultural, and human-centered traditions (Freire, Dewey, Vygotsky, Shneiderman).
Specifies six interdependent pillars: Technical Fluency, Critical Evaluation, Human-AI Collaboration, Contextual Awareness, Ethical Reasoning, and Empowered Agency โ the absence of any pillar produces a characteristic pedagogical failure.
Developmental: a three-level rubric (Emerging, Competent, Advanced) describes how each pillar matures across the K-12 teacher-preparation continuum.
Dialectical: the same generative affordance can deepen or displace learning depending on teacher literacy, making literacy cultivation โ not tool adoption โ the object of design.
Aligned with the UNESCO AI Competency Framework for Teachers and the OECD/European Commission AILit Framework; advances falsifiable propositions for empirical validation.
Connected Concepts
Connected Articles
Citation
Shahin Hossain, Sima Ahmadi, Leqi Li, Idowu David Awoyemi, Wei Huang, Chenxi Zhou, Jujia Li, Samaa Haniya, Shapla Khanam, Tasbirun Mashreka Subaha (2026). Rethinking Generative AI Literacy: An Integrative, Developmental, and Dialectical Framework for K-12 Teacher Education. arXiv:2608.01705. arXiv (cs.CY / cs.HC) preprint.