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WHAT IS BRINGING AI LITERACY TO STUDENTS?
WHAT IS BRINGING AI LITERACY TO STUDENTS?
How do we develop students' AI Literacy? Preparing our children for their future means ensuring that they understand what artificial intelligence is and that they become AI fluent. This workshop introduces educators to hands-on activities for K12 students to learn about Artificial Intelligence. Topics include, What is AI?, How Do Machines Learn?, and How Do Machines Create?, and cover deepfakes, bias, and the responsible use of AI. Activities vary across elementary, middle, and high school and have been written to be accessible to students of all backgrounds and abilities and taught by teachers from all disciplines.
How do we develop students' AI Literacy? Preparing our children for their future means ensuring that they understand what artificial intelligence is and that they become AI fluent. This workshop introduces educators to hands-on activities for K12 students to learn about Artificial Intelligence. Topics include, What is AI?, How Do Machines Learn?, and How Do Machines Create?, and cover deepfakes, bias, and the responsible use of AI. Activities vary across elementary, middle, and high school and have been written to be accessible to students of all backgrounds and abilities and taught by teachers from all disciplines.
Key Outcomes:
- Expand your AI Literacy understanding and skills
- Begin to identify how to present AI Literacy activities to students
- Begin exploring the Day of AI website and resources
- Cover all “acquire” level curriculum from the scope and sequence
Facilitator of Bringing AI Literacy to Students
Facilitator of Bringing AI Literacy to Students
Valerie Brock
Valerie Brock
Valerie Brock (she/her)is the Curriculum Director at Day of AI, where she leads the development of engaging, age-appropriate AI literacy resources for educators and students. Before joining Day of AI, she served as a Computer Science Education Manager with NYC Public Schools, supporting teachers in integrating computer science across classrooms citywide. Valerie began her career as a special education teacher for grades K–8, where she focused on blending technology with student interests to create meaningful learning experiences. A passionate advocate for AI education, she has also developed early childhood curricula to help young learners understand the impact of AI on their daily lives. Valerie holds a B.S. in Childhood Education, an M.S. in Special Education from St. John’s University, and a School Building Leader certificate from the College of St. Rose.
How is EEAI incorporatingthis practice?
How is EEAI incorporatingthis practice?
This introductory workshop supports EEAI Milestone 1 by building educators’ foundational understanding of artificial intelligence through hands-on, critical, and accessible activities. Participants engage in exploring how AI systems learn, create, and impact society, aligning with NYCPS’s goal to develop equitable, justice-centered AI literacy. By the end of the session, educators will be equipped to introduce AI literacy concepts in their own classrooms and begin preparing students to understand, evaluate, and responsibly engage with AI technologies.
Resources + Key Terms
Resources + Key Terms
What is AI?
Introduces students to the concept of artificial intelligence, comparing AI systems to human intelligence and exploring how we define “smart.” Educator Guide – What Is AI? (Grades 6–8)
How Do Machines Learn?
Explains how AI systems use data to detect patterns and make predictions, introducing key ideas like supervised learning. Educator Guide – How Do Machines Learn? (Grades 9–12)
Algorithms and Optimization
Students explore what algorithms are and how computers use them to solve problems efficiently. Educator Guide – What Is an Algorithm? (Grades 6–8)
Teachable Machines
A hands-on activity where students train an AI model to recognize images or sounds, learning how datasets influence outcomes. Educator Guide – Teachable Machines (Grades 3–5)
Bias in AI
Helps students recognize how bias can appear in AI datasets and outputs, and how it affects fairness in decision-making. Educator Guide – Algorithmic Bias (Grades 6–8)
Deepfakes and Misinformation
Examines how AI can create realistic but fake media, sparking conversations about truth, trust, and responsible technology use. Educator Guide – Deepfakes (Grades 9–12)
Neural Networks
Introduces how computers model the human brain using layers of connected “neurons” to recognize complex patterns. Educator Guide – What Are Neural Networks? (Grades 9–12)
Responsible and Ethical AI
Encourages students to consider ethical issues in AI design, data use, and its impacts on people and communities. Educator Guide – AI and Ethics (Grades 6–8)
Generative AI
Explores how generative models create text, images, and music, helping students evaluate both the creative potential and limitations of AI. Educator Guide – What Is Generative AI? (Grades 9–12)
AI Sensors and Human Senses
Connects how AI systems use sensors to collect data with how humans use their five senses to understand the world. Educator Guide – AI Sensors and Our 5 Senses (Grades K–2)
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