Professional Learning Opportunities
Guidance that support districts and charters in understanding and implementing instructional AI tools
Educators must have the knowledge and skills to effectively integrate Generative AI into teaching and learning processes. These examples of professional learning will equip educators with tools and foundational knowledge to support their classrooms on their journey.
Professional Learning Programs
These offerings below highlight examples for consideration when implementing your school district or charter school’s professional learning for educators on Generative AI in the K-12 classroom:
- Generative AI for Teacher and Staff Productivity
- Training on using AI tools to streamline administrative tasks, improve classroom management, and enhance communication between teachers, staff, and students. This includes automating routine processes, providing insights into student performance, and facilitating resource management.
- Generative AI for Creatives
- Explore tools that enhance creative processes in education, focusing on integratingGenerative AI tools to support artistic and innovative activities, such as digital art,music composition, and creative writing, helping educators foster creativity in students using cutting-edge technology.
- Protecting Student Data
- Prompt Engineering for Educators: Best practices for designing prompts that maximize teacher capacity while protecting student data and PII.
- Generative AI to Support Pedagogy: Leverage tools for personalized learning, student engagement, and formative assessment to enhance classroom pedagogy and support individual student needs while maintaining student data privacy.
- Ensuring Ethical Generative AI Use
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- Curriculum Integration: Training on integrating Generative AI tools and resources into the curriculum, including lesson planning and assessment strategies.
Connections to Generative AI and Special Education: Training on Generative AI and creating support for exceptional education learners. Discuss goals, protecting student data, privacy dos and don’ts when prompting, and best practices for personalized learning.
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- Promoting Equity
- Introduction to Bias in Generative AI: Explore Generative AI in K-12 education, focusing on understanding and identifying bias within artificial intelligence systems and a foundational perspective on the impact of social bias on educational content and student interactions.
- Equitable Access: Providing access to Generative AI tools and making them available for all learners.
- Enhancing Learning
- Preparing Students for an AI-Infused Future: The future is now! How can studentsleverage AI technology to prepare them for their desired futures?
Delivery Methods
- Online courses and webinars for flexible learning.
- Hands-on workshops and seminars for practical experience.
- Peer learning groups are used to share experiences and strategies.
