AI Foundations for Educators

This micro-learning course introduces K-12 educators to the basics of Artificial Intelligence (AI) and equips them with tools to integrate AI concepts into their classrooms. Participants will learn what AI is, how it works, and its impact on society and education. Topics include datasets, bias, machine learning, neural networks, and generative AI, with an emphasis on ethical considerations and real-world applications. The course also explores how AI can enhance teaching across subjects, preparing students for future careers. Through interactive activities and classroom-ready resources, teachers will gain confidence in fostering AI literacy among their students.

LO1. Understand AI Fundamentals: Explain what Artificial Intelligence (AI) is, its core components, and its role in shaping society and education.
LO2. Explore AI Data Concepts: Understand how datasets, bias, and machine learning impact AI outputs and discuss their implications in education.
LO3. Grasp AI Mechanisms: Describe how AI generates outputs, including neural networks and generative AI, with examples that relate to teaching scenarios.
LO4. Evaluate Ethical and Societal Impacts: Discuss the ethical considerations, pros, and cons of AI technologies, especially in the context of education.
LO5. Bridge AI to Teaching: Identify opportunities to integrate AI concepts into their curriculum to enhance student learning and engagement.
LO6. Connect AI to Careers: Understand how AI is transforming various career paths and articulate its importance for preparing students for future opportunities.