Building AI Literacy in Your School or District

As artificial intelligence reshapes the educational landscape, it's essential for both educators and students to develop the skills needed to prepare for an AI-driven future. As a part of National AI Literacy Day, this webinar explored the key strategies and tools necessary to foster essential AI literacy skills across your entire school community.

Key topics included:

  • Importance of AI Literacy: Understand the crucial role of AI literacy for both educators and students in an evolving educational and professional landscape.

  • Essential AI Skills: Learn strategies for building AI literacy that is safe, ethical, and effective - including:

    •   Understanding AI’s capabilities and limitations

    •   Crafting effective AI prompts and critically evaluating outputs

    •   Developing data security and privacy awareness

    •   Identifying ethical considerations in AI use

  • Integration Strategies: Learn innovative approaches to seamlessly incorporate AI literacy into existing curricula and digital literacy programs through hands-on activities and projects.

Don't miss this opportunity to stay ahead of the curve and prepare your school’s educators and students for the future of education and work, ensuring they can navigate, critically evaluate, and ethically engage with AI technologies in their academic, personal, and professional lives.

AI Summary Notes:

The National AI Literacy Day “Building AI Literacy in Your School or District" webinar brought together over 400 participants to address the importance of AI literacy in education. The event introduced a four-step approach to foster AI literacy: defining AI literacy, building a diverse team, understanding current practices, and developing a targeted AI literacy plan that starts as early as kindergarten. Participants learned that AI literacy encompasses the knowledge, skills, and ethical considerations necessary for effective and responsible AI use, emphasizing the involvement of parents and students in the process. Strategies for implementation included integrating AI literacy into existing professional development, creating a supportive training environment, and developing a clear timeline for action. Attendees were encouraged to adopt a collaborative approach and view AI literacy as an ongoing journey, with access to valuable resources provided for further learning.

🎓 Introduction to AI Literacy Day (00:03 - 08:43)

  • Second annual AI Literacy Day celebration with over 200 participants

  • Amanda introduced team members Mandy DePriest (content developer, former educator) and Corey (chief program officer, former teacher/principal)

  • AI literacy needs to be for everyone in the education community, not just teachers

  • Proposed 4-step approach: define AI literacy, build a team, understand current practices, develop an AI literacy plan

  • Emphasized that AI literacy should start in kindergarten

  • Highlighted the importance of involving parents and caregivers in AI literacy initiatives

🧠 Defining AI Literacy (08:44 - 18:31)

  • AI literacy goes beyond academic integrity and concerns about cheating

  • Balance of positive and responsible use is essential

  • Team shared personal examples of positive AI use: feedback on writing, brainstorming partner, overcoming writer's block

  • Discussed risks including misinformation, deepfakes, cognitive offloading

  • Defined AI literacy as 'knowledge, skills, and mindsets that enable individuals to use AI safely, ethically, and effectively'

  • Safety components include data privacy, identifying legitimate tools, healthy human-AI interaction

  • Ethical components include understanding climate impact, addressing bias/misinformation

  • Effectiveness includes teaching proper prompting techniques and using human expertise to enhance AI outputs

🤝 Building an AI Literacy Team (18:31 - 28:36)

  • Create a cross-functional team including diverse stakeholders: leaders, teachers from various disciplines, students, IT staff, board members

  • Include students as equals in the planning process to gain buy-in

  • Establish a common understanding of AI literacy among team members

  • Align AI literacy goals with organization's mission and values

  • Gather evidence through surveys to understand current AI usage and perceptions

  • Team shared a link to five key questions to help gather institutional data

  • Revealed that among top 10 generative AI apps, three are AI companionship apps (Character AI, Janitor AI, Spicy Chat AI)

  • Snapchat AI has 150 million users, making it the second most used embedded AI app

🏫 Developing an AI Literacy Plan (28:37 - 40:11)

  • Consider where AI literacy fits within existing priorities, schedules, and professional development

  • Build in-house capacity through developing leaders and trainers

  • Consider partnering with external literacy trainers to bring expertise

  • Training should be for staff, leaders, students, and broader community

  • Principles for effective training: Focus on general AI literacy before specific tools, Build capacity, not expertise, Respect teacher agency and autonomy, Customize training for audience needs, Provide hands-on practice opportunities, Ensure continuing support beyond initial training

🛠️ Implementation Strategies (40:11 - 51:32)

  • Address common issues: explaining tricky concepts like hallucinations, managing tech issues, handling resistance

  • Understand teacher resistance stems from concern about 'just another initiative'

  • Use humor and psychological safety to manage technical difficulties during training

  • Embed AI literacy into existing learning opportunities rather than creating separate sessions

  • Use tools like choice boards to help stakeholders explore different AI applications

  • Align tool selection with specific educational outcomes rather than adopting tools without purpose

  • Identify key AI tools that support specific objectives rather than overwhelming with many options

  • Be intentional about which tools to adopt as they can be expensive

📅 Creating a Timeline (51:32 - 58:50)

  • Example yearly timeline: start team building and data gathering now, develop guidelines in summer, implement in fall, evaluate in spring

  • Consider specific timing for different audiences (leaders during summer, students during advisory periods)

  • Recommend making AI literacy a 'big deal' with dedicated events

  • View AI literacy as a journey not a destination - continuous improvement process

  • Shared upcoming free resources: webinar with Leon Furze on assessment practices

  • AI literacy identified by LinkedIn as the #1 top rising skill

  • Encouraged participants to join their newsletter and access free resources including prompt library and courses

Action items

  • Define AI literacy for your organization's context (03:14)

  • Build a cross-functional team for AI literacy implementation (03:48)

  • Gather evidence about current AI usage using the provided survey tool (22:22)

  • Identify where AI literacy fits within existing professional development calendar (25:59)

  • Select limited AI tools that align with specific educational outcomes (48:19)

  • Create an AI literacy plan with a timeline spanning current through next spring (54:31)

  • Join upcoming webinar with Leon Furze about assessment practices (57:23)

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