As a part of the WeTeach_AI Initiative, the Advancing AI Literacy project brought together outstanding educators to design universally-appropriate, teacher-crafted lessons that bring Artificial Intelligence literacy into the classroom. These lessons — created by teachers, for teachers — serve as a foundation for building welcoming AI literacy across K–12 classrooms and are now freely available for your use!
As a part of the WeTeach_AI Initiative, the Advancing AI Literacy project brought together outstanding educators to design universally-appropriate, teacher-crafted lessons that bring Artificial Intelligence literacy into the classroom. Over the course of a year, participating teachers engaged in advanced training through our Guiding Principles for Effective Computer Science Teaching and Scaling Innovative Pedagogy course, piloted AI curricula with students, and collaborated to develop exemplar lessons rooted in belonging, creativity, and accessibility. These lessons—created by teachers, for teachers—serve as a foundation for building welcoming AI literacy across K–12 classrooms and are now available to be shared with the broader education community.
In this lesson, students begin by brainstorming examples of artificial intelligence (AI) they encounter in daily life, such as recommendation systems, voice assistants, and smart devices. Using a collaborative mind map, they will organize these examples into categories like apps, games, and home technology.
In this lesson, students will investigate the historical development of AI, tracing its evolution from early ideas like the Turing Test to modern breakthroughs in deep learning. Working individually or in pairs, they will research key milestones and create a visual timeline using tools like Google Slides or Canva.
Students will critically examine the benefits and risks of AI through a real-world case study involving facial recognition errors. After watching a short video, they will work in groups to create a Claim Evidence Reasoning (CER) poster answering the question: “Is AI more helpful or more risky in everyday life?”
Author: Rabiaa Ezzedine, Physics and CTE Teacher
In this hands-on lesson, students will explore how artificial intelligence systems rely on data to make decisions—and how that data can reflect real-world biases.
In this follow-up lesson, students will build on their data analysis by engaging in ethical reflection and collaborative discussion.
Author: Jennifer Simmons, CTE Teacher
This lesson engages students in examining the connections between social media, personal identity, and artificial intelligence. Students analyze how AI shapes the content presented on social platforms and consider the ethical implications of these systems. Through reflection and discussion, they develop strategies for navigating digital spaces more thoughtfully. The lesson strengthens media literacy while fostering critical awareness of AI’s influence on daily life.
Author: Cordney Smith, CTE Teacher
In this lesson, students explore how artificial intelligence (AI)—specifically large language models (LLMs)—can influence personal storytelling.
In this lesson, students analyze exemplar personal narratives to understand what makes them compelling and authentic.
In this lesson, students learn how to use large language models (LLMs) as brainstorming tools to generate ideas and outlines for personal narratives.
In this lesson, students use AI writing tools to revise and improve their personal narratives by seeking targeted feedback on clarity, organization, and emotional impact.
Author: Christopher Walker, Computer Science Teacher
In this lesson, students are introduced to the foundational concepts of Artificial Intelligence (AI) and Machine Learning (ML) through engaging multimedia and discussion.
In this lesson, students take on the role of an AI spam filter to understand how mathematical reasoning drives AI predictions.
In this lesson, students examine the ethical implications of AI systems and explore how bias and fairness impact decision-making.
Author: Sunaja Ajayan, Mathematics Teacher
This lesson introduces students to the concept of bias in technology through a relatable lens: moments when humans feel “unseen” by machines.
In this lesson, students deepen their investigation into geology and cultural narratives by completing the Voices in the Stone exploration.
Students shift from human classification to machine learning as they build or test an AI classifier using tools like Teachable Machine.
Author: Travis Garcia, Computer Science Teacher
In this environmental science lesson, students explore how artificial intelligence (AI) and remote sensing technologies, such as satellite imagery, are used to detect and classify deforestation.
In this lesson, students analyze satellite imagery to uncover patterns of deforestation over time and represent these changes using layered maps and overlays.
In this lesson, students explore how artificial intelligence (AI) and satellite imagery can be used to monitor deforestation.
Author: Gary Leary, Science Department and Instructional Technology Chair
In this introductory lesson, students explore how artificial intelligence (AI) is transforming renewable energy systems.
In this lesson, students apply their newfound understanding of artificial intelligence and renewable energy systems to explore real-world environmental challenges.
Author: Leslie Llamas, Science, Robotics, and CTE Teacher
In this introductory lesson, students embark on a journey to understand the life cycle and classification of stars through the lens of data science and artificial intelligence.
Students dive into the practical application of AI by using it to collect and organize data on stars, including temperature, luminosity, and classification.
In this lesson, students synthesize their learning by presenting and analyzing HR diagrams created through different methods.
Author: Veronica Romero, CTE and Science Teacher
In this lesson, students will explore how artificial intelligence is transforming healthcare and scientific research.
This lesson dives into the intricate process of DNA replication while leveraging AI as a learning partner.
In this lesson, students will explore how normal cell differentiation keeps tissues healthy and what happens when this process goes wrong, leading to cancer.
In this culminating lesson, students will synthesize their knowledge by creating AI-assisted projects such as infographics, video scripts, or interactive quizzes.
Author: Dr. Vashunda Warren, STEM Teacher, High School Principal
