Building AI Literacy for Teachers & Students, Issue 3 (3)

Preface

Building AI Literacy for Teachers & Students brings together research and practice that position artificial intelligence literacy as a developmental educational capacity rather than a technical add-on. In this issue, AI literacy is understood as the capacity to understand, use, and critically evaluate artificial intelligence systems, including how they are designed, trained, and applied in real-world contexts, encompassing technical awareness, ethical judgment, and informed decision-making rather than passive interaction with tools. The articles examine how AI literacy is conceptualized, taught, and experienced across educational levels, highlighting the roles of curriculum design, disciplinary integration, ethical reasoning, and contextual constraints. Collectively, they show how teachers function as mediators and designers of AI-informed learning environments, while students emerge as active sense-makers who learn to use, question, and evaluate AI systems. By foregrounding pedagogy, equity, and critical judgment alongside technological capability, this issue frames AI literacy as a shared responsibility essential for sustaining meaningful learning in AI-enhanced classrooms.

–Dr E Mahiban Ross, Chief Editor, Excellent Educator

Issue Contents