AI-Enabled Pedagogy: Advancing Education Through Innovative Teaching Tools and the AI-TEACH Model

Abstract

The integration of Artificial Intelligence (AI) into education heralds a transformative era, reshaping pedagogical methodologies to meet the demands of a dynamic, technology-driven world. This paper explores innovative pedagogical practices enabled by AI, emphasizing their potential to personalize learning, foster critical thinking, and enhance educator efficiency. Using an exploratory and conceptual research approach, the study synthesizes insights from peer-reviewed articles, academic publications, and policy documents, analyzed through thematic and comparative evaluations. The findings highlight the role of AI-powered tools, such as intelligent tutoring systems and generative AI, in addressing diverse learner needs, while also identifying challenges like algorithmic bias, data privacy concerns, and educator readiness.

To address these challenges and harness the full potential of AI, this paper proposes the AI-TEACH Model—a comprehensive framework for AI integration in education. The AI-TEACH Model emphasizes Transformative Learning, Ethical AI Practices, Adaptive Learning, Collaborative Environments, and Holistic Development, providing a structured approach to leveraging AI for enhancing teaching and learning outcomes. The paper concludes with actionable recommendations for educators, administrators, and policymakers to ensure that AI integration aligns with the goals of inclusivity, equity, and innovation in education.