This unit explores Large Language Models (LLMs) by focusing on the interplay between prompts and generated output. It uses a "hands-on" approach, employing unplugged games and simulations to demystify core LLM concepts.
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.
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.
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.
Alien Gathering is a modification of the lesson plan 0.4 Decision Trees. In this lesson students begin with an activity in which a decision tree is made for a "Family" of aliens. This activity is intended to be used in one of two ways. It can be used as a substitute for the activity "Pastaland" or as an additional lesson activity used prior to the "Pastaland" activity.
Science Teachers feel free to incorporate this AI Science Investigation. Students will investigate bias in science (scientists, science safety, science tools, and experiments).
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.
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.
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.
