Use of AI in Education: AI Competency Framework for Teachers

Abstract

Artificial Intelligence (AI) is significantly transforming education across K-12, higher education, and lifelong learning through three key dimensions: Learning with AI, Learning from AI, and Learning AI. Learning with AI involves utilizing AI-powered tools such as adaptive learning platforms, AI tutors (like Khanmigo and Jill Watson), and automated grading systems to personalize learning, provide real-time feedback, enhance efficiency, and improve accessibility for students with special needs. Learning from AI focuses on cultivating critical perspectives on AI's role in society, including its ethical implications, biases, and the urgent need for media literacy to navigate AI-generated misinformation. Educational initiatives are emerging to teach students how to critically evaluate AI systems and content. Learning AI entails acquiring AI-related skills like coding, machine learning, and data science to prepare students for future career opportunities and empower them to shape AI's development. The integration of AI into curricula, from K-12 to higher education and professional training, alongside extracurricular activities and policy support, reflects a growing recognition of AI literacy as a fundamental skill for navigating an AI-driven world. While AI offers considerable potential to enhance learning and teaching, its responsible integration requires careful consideration of ethical implications, equitable access, and adequate teacher training. Ultimately, a balanced approach encompassing learning with, from, and about AI is crucial for empowering students to become informed consumers, critical thinkers, and capable creators in the age of artificial intelligence.