Find Resources

Career Interview

This Career Interview activity is an extension of 1.5 Planting the Seed of STEM Jobs. Students, Our Young Professionals, are asked to interview a professional who they admire. The goal is to gain insight (inside info) into the planning, education journey and future prospects of a career of interest.

Cultural Lens

This activity is an extension of 0.5 Investigating Bias. Students will create a visual of their culture as a reference point to see how A.I. activity results or output may or may not represent their culture values, language and celebrations. The visual can be in any open-ended, creative form, like glasses or sunglasses, a wheel, or story map, or natural landscape with labels or descriptions of cultural features.

Career Exploration and Impacts of AI Lesson plan with print Worksheet and Google Form Exit Ticket

Career Exploration and Impacts of AI for post secondary training, 2 year and 4 year degrees. Emphasis on continuing training or traditional education in STEAM careers whether it be an apprenticeship, certificate program, 2 year college, 4 year university or beyond. Emphasis on AI impacts in all fields. Combined Inventory of Me, AI’s Impact, and Roadmap to My Dream Job into a WS (2-3 day portfolio-like). They fill it in along with slides as they go.

Investigating Bias including Immigration Facial Recognition Apps

Added in an example of facial recognition bias for asylum seekers. This change was designed for my students, part of who herald from immigrant families and who have darker skin colors. Immigration is a very important topic so adding this slide adds to the relevance of their lives and will help them internalize the information. This change is relevant for teachers that teach in states close to national borders and communities with large immigrant populations.

Best Bocadillo

Making the best sandwich instead of PB & J for those who have not experienced PB & J. The reason I made this change is because there is a large Hispanic population in my area who do not make sandwiches with peanut butter and jelly and so a sandwich in general is more relevant to students of diverse populations such as Latinx, Asian, etc.

Algorithms as Opinions (modified lesson)

This lesson includes modifications to make the lesson more accessible to students from different backgrounds, built in supports for students who have learning disabilities or students who are English language learners, and optional extension activities.

Ethical Matrix Lesson (modified)

This ethical matrix lesson includes modifications from the original to be more inclusive of students from different cultural backgrounds. It also includes modifications to support students with learning disabilities and English language learners in accessing the concepts in the lesson.

Decision Trees-Breakfast World

Pasta is so delicious but not all students are familiar with the different types of pasta. Students will have the opportunity to sort popular breakfast items that they or their peers eat at school in order to determine their favorite breakfast food. As an extension, students will sort desserts and apply their mathematical knowledge of prime numbers and the real number system.

Impact of AI on STEM Jobs

This is a lesson with SLIDES + SCRIPT that combines Planting the Seeds of STEM & AI’s Impact on My Future Jobs. If your pressed for time these lessons can be combined to reduce time constraints.

ChatGPT Debate

Students will read two principals letters that share that they are either banning ChatGPT or not banning it from their schools. Students develop their own opinions and share their reasoning. The teacher then reveals that both principal letters were generated using ChatGPT and asks the students if they want to change their opinion.

Generate a Song

Students will create a song about their emotion. Their teacher will help them to generate the lyrics to the song and generate art for the song. Students will then listen to the song, see the lyrics and art and try to guess the emotion.

Unit 2: Creative AI

This unit focuses on how AI is used to create and generate content, including text and images. It discusses GANs (Generative Adversarial Networks) and AI's impact on future jobs.

Unit 1: AI Concepts

This unit introduces many of the basic concepts of AI, including supervised machine learning, neural networks, classifying AI vs. Generating AI, and starts to introduce students to thinking about careers in AI.

Unit 0: Introduction to AI

Most types of AI comprise three parts - a dataset, a learning algorithm, and a prediction - each of which can be influenced by different types of bias (such as algorithmic bias) to prioritize the values of some stakeholders over others.

If you can't find what you're looking for, send us a comment about what you were expecting to find.