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STEAM Careers- The Future is Now

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.

Here is the image of an ethical quesadilla, beautifully presented with ethically sourced ingredients. Enjoy!

Quesadilla Ethical Matrix

For this lesson I changed the food listed to quesadillas (building on the previous lesson, Algorithms as Opinions), I also added a formative assessment to better help students connect to stakeholders in their lives and communities. Students who participate in the previous lesson (Algorithms as Opinions) will be able to carry it forward into a real-world connection by thinking about their out-of-school activity, the relevant stakeholders and their values.

What is AI? Pre-Assessment Sketch & Tell

Students will engage in a Pre-Assessment Activity to "Sketch" an AI technology that could impact/help them in their daily lives and "Tell" about it. The students use a "Sketch & Tell" template to capture pre-knowledge and will have a post-assessment at the end of the lesson. Three templates are provided in the resource: General Template to use in the AI curriculum, an ELA Story Telling Template to capture ELA Intro, Conflict, Resoution, and Generated AI Tool to Sketch with a Prompt.

paint brushes

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.

Cats & Dogs

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.

Forest

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.

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