Welcome to the
CUE
AI Leadership Academy!
CUE
AI Leadership Academy!
CUE AI Leadership Academy
We are delighted to have you join us for the CUE AI Leadership Academy. This course site will house learning resources, tools, and Zoom links for our sessions. Information for each month will be added as we progress through the academy. To access the course resources, click below.
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Stay up-to-date
We’re offering two options each month so you can select the date that fits your schedule best. Recordings of both sessions will be available, allowing everyone to catch up if needed.
Session Dates: Oct 23, 24 | Nov 20, 21 | Dec 18,19 | Jan 22, 23 | Feb 19, 20 | Mar 12,13 | Apr 16,17 | May 14,15
Session Time: 4-5:15p PST
Session Dates and Times
From Learning About AI to Leading Leveraging AI
MONTH 1
Laying the Foundation — AI Fundamentals &
Vision Setting
Objective: Set a strong foundation by mastering the fundamentals of AI, including prompting, customization, and crafting your personal vision for AI integration.
Key Activities:
• Critical Reflection: Identify the challenges you’ve faced with AI and explore how custom instructions can help overcome them.
• Vision Setting: Use ChatGPT and other tools to craft a personal vision that aligns with your educational goals and AI strategy.
• Custom AI Instructions: Personalize AI tools to reflect your teaching style, setting the stage for seamless integration into your classroom.
MONTH 2
Mastering Powerful AI Tools for Practical
Classroom Impact
Objective: Dive deep into practical AI tools like Claude Artifacts, Google Gems, and Notebook LM, and explore how they can make complex tasks simple in the classroom.
Key Activities:
• Tool Demonstrations: Learn how to use AI to create interactive learning experiences and reduce prep time.
• Hands-On Exploration: Experiment with AI tools to create engaging lessons, quizzes, and projects.
• Actionable Planning: Select one AI tool and develop a plan to integrate it into your teaching over the next month.
MONTH 8
Developing AI Use Cases & Leading Professional Development
Objective: Lead AI integration at your school by developing use cases and sharing your learning with colleagues.
Key Activities:
•Use Case Development Workshop: Create tailored AI use cases that meet your school’s specific needs and challenges.
• Peer Learning Sessions: Share your AI integration experiences and lead professional development for your peers.
• Strategic AI Roadmap: Build a long-term AI strategy that aligns with your school’s mission and vision.
MONTH 7
Developing AI Use Cases & Leading Professional Development
Objective: Lead AI integration at your school by developing use cases and sharing your learning with colleagues.
Key Activities:
• Use Case Development Workshop: Create tailored AI use cases that meet your school’s specific needs and challenges.
• Peer Learning Sessions: Share your AI integration experiences and lead professional development for your peers.
• Strategic AI Roadmap: Build a long-term AI strategy that aligns with your school’s mission and vision.
MONTH 6
Personalizing Learning with AI & Universal Design for Learning (UDL)
Objective: Explore how AI can support personalized learning and UDL principles, ensuring that every student’s needs are met.
Key Activities:
• AI for UDL: Learn how AI tools provide multiple means of engagement, representation, and expression to meet diverse learning needs.
• Personalized Learning Paths: Design customized learning plans using AI, enabling each student to progress at their own pace.
MONTH 5
Empowering Student Voice
in AI Integration
Objective: Equip educators with strategies to involve students in AI decisions and make them active participants in AI integration.
Key Activities:
• Student Panels on AI: Learn how to facilitate discussions that allow students to share their ideas on AI in education.
• Student-Driven AI Projects: Co-create AI-enhanced projects with students, giving them ownership over AI’s role in their learning experience.
• Feedback Integration: Develop methods to gather and analyze student feedback, ensuring AI policies reflect their perspectives.
MONTH 3 & 4
Identifying and Prioritizing
Key AI Use Cases
Objective: Leverage your experience with AI tools to identify and prioritize top AI use cases in education.
Key Activities:
• Use Case Exploration: Explore real-world AI applications like personalized learning, student engagement, and administrative efficiency.
• Collaborative Brainstorming: Work with peers to brainstorm innovative ways to integrate AI into your school.
• Application Planning: Develop actionable strategies to pilot AI use cases in your classroom or school.
Meet our team
Neesha Nanda
Co-Founder
Serial Entrepreneur, Education Innovator, and Deeply Studied Meditation and Spiritual Development Advocate
20+ years of experience in reimagining K12 education, with a specialization in making complex, emerging challenges—like AI—accessible for schools and educators.
Led BitSpace’s expansion from serving 100 educators to 2,500 across 35 states during the COVID pandemic, demonstrating exceptional ability to scale educational initiatives.
Co-founded Level Up Village, scaling it to 26 U.S. states and 20 countries before its acquisition by a Samsung subsidiary—showing a strong track record in growing education companies.
Samantha Gleisten
Co-Founder, Award-Winning, Current Educator, Pedagogy Expert
25+ years of teaching experience with a strong foundation in Montessori and constructivist education, specializing in hands-on, student-centered learning.
Currently serves as the Head of Innovation and Educational Technology at Rogers Park Montessori School, where she leads the integration of technology into Montessori practices, focusing on Design Thinking and Project-Based Learning.
Fellow at the American Montessori Society’s Innovation Think Tank, working on the application of AI in Montessori environments, researching how AI can be integrated to support the Montessori philosophy while maintaining its core values of student autonomy and personalized learning.
Fellow at the American Montessori Society’s Innovation Think Tank, working on the application of AI in Montessori environments, researching how AI can be integrated to support the Montessori philosophy while maintaining its core values of student autonomy and personalized learning.
Tiffani Brown
Senior AI Education Specialist
Tiffani is a designer of next-generation learning experiences which proactively remove barriers, thoughtfully integrate digital elements, and prioritize human connection and well being. Currently, Tiffani is thriving in the AI space, leveraging emerging technology to support educator wellness and stave off burnout and attrition.
With experience building policy and guidance and recent certification from F3 Law in Navigating Legal and Ethical Boundaries in the AI Classroom, she is leading AI integration into leadership and learning with Bias, Ethics, and Humanity as core considerations.