Event Phone: 608-822-3276

Artificial Intelligence (AI) is reshaping the educational landscape, offering unprecedented opportunities for enhancing teaching and learning processes. This presentation, designed for school administrators, outlines the potential benefits and challenges of integrating AI into educational settings, emphasizing practical steps for implementation and fostering an AI-literate school community.

Overview of AI in Education:

• What is AI? A brief introduction to AI and its relevance in everyday life, highlighting its presence in various industries and the potential for transformative applications within education.
• AI in Our Lives: Examples of AI in online shopping, navigation, language translation, and more, illustrating its pervasive nature.
• AI in Education: Focus on personalized learning, increased student engagement, and operational efficiency, contrasting with common misconceptions about AI replacing teachers or becoming a standalone subject.

Key Themes:

1. AI Literacy: Importance of understanding AI’s principles, concepts, and ethical considerations. Emphasis on AI as a tool for personalization in learning and its critical role in preparing students for future careers.
2. Generative AI: Overview of tools like ChatGPT, their capabilities in creating new content based on vast datasets, and the professional implications for educators.
3. Digital Divide Concerns: Addressing the risk of widened educational disparities through proactive AI integration and literacy efforts.

AI’s Impact on Education:

• Potential benefits for content development, assessment design, tutoring, creativity, and operational tasks.
• Challenges include misinformation, academic dishonesty, privacy issues, and dependency on technology.

Strategic Implementation Steps:

1. Role and Responsibilities: Clarifying the roles of superintendents, principals, IT coordinators, and teachers in driving AI innovation while safeguarding academic integrity and privacy.
2. Policy and Guidance: Developing and updating policies to ensure responsible AI use, focusing on immediate risks and long-term organizational learning for equitable AI adoption.
3. Principles for AI in Education: Seven foundational principles to guide ethical and effective AI use, including purpose, compliance, knowledge, balance, integrity, agency, and evaluation.

Engagement and Support:

• Encouragement for feedback and community involvement in AI policy development and implementation.
• Resources and ongoing support from TeachAI, including toolkits, presentations, and professional development opportunities.