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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.

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.

Investing Bias in AI- Including Immigration Facial Recognition Apps

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.

Here is the image of a quesadilla with an algorithm creatively written on it. Enjoy the unique blend of culinary art and coding!

Best Quesadilla

I changed the food to be more culturally relevant to our school and our New Mexican culture. Instead of designing an algorithm for the best PB&J, this lesson tasks students with planning the best quesadilla. Our school population is majority Hispanic students who live in Albuquerque and mostly come from the South Valley. They will have more of a connection to quesadillas than to PB&J sandwiches. Optimizing a quesadilla algorithm for stakeholders may be more relevant to their culture and family.

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.

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.

Ethical Matrix Lesson for Food Deserts

High school (HS)Students: Use ‘Teen’ instead of ‘Child’ Added ‘Store’ instead of ‘Doctor’ Teachers can talk with their students about topics relevant to their lives like: a)workers in the store; b)food available in local stores; c)accessibility of local stores; d) impact on people, supplies, and accessibility of stores

Culturally Sensitive Introduction to Supervised Machine Learning - Is it Frankenstein?

In this lesson students are giving the option to replace webcam images of themselves with webcam images of printed depictions of Dracula and Frankenstein. The training and testing images have been selected to help with the lesson's introduction to algorithmic bias.

Generate A Story

Adust lesson to authors to reflect their areas/regions/states. This modification was designed to build Culturally Relevant elements into the AI curriculum.

Introduction to bias for ELLs

The change made was adding an introduction to bias, distinguishing between facts and opinions, perspectives, and biases, tailored for ESL, bilingual, and regular students to comprehend bias in AI. This modification was designed to provide students with varying language proficiencies and backgrounds a foundation in understanding bias within the context of artificial intelligence, fostering inclusivity and equitable learning experiences.

Classifying living things

The adjustment involved incorporating a lesson of classifying living things to illustrate decision trees, crafted for ESL, bilingual, and regular students to comprehend decision trees in AI. This adaptation aimed to offer students with various language proficiencies and learning styles an accessible means to grasp decision-making processes, promoting inclusivity and enthusiasm for decision trees concepts.

Decision Trees - Alien Gathering

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.

How do GANS Work (modified with cats and dogs)

I changed the rooster fighting to be more appropriate (with cats and dogs). A lot of students don’t understand rooster fighting, and I believe it is illegal in the US. Many students know that dogs and can’t don’t get along. They can still grasp what a generator and a discriminator do. I also changed the artist to Da Vinci

Is it for Winter? (modified)

Is it for winter was modified by increasing the number of discussion questions about different climates around the US. I included how some systems could be biased depending on where the AI system was trained.

Redesign Instagram Lesson Plan - Alternative

In this lesson, students will redesign the Instagram recommendation algorithm to meet their needs and reduce bias. This is a culminating project that can span several days of work and spark student reflection on lessons learned from the curriculum.

Teachable Machine: Geology-- Rock Classification

Students will create a supervised learning model that will classify igneous, metamorphic, and sedimentary rocks.

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.

Teachable Machine: Classifying Cells

Using Teachable Machines to classify cells as prokaryotes or eukaryotes.

What is AI? Kahoot Teacher Made

This Kahoot series can be used in situations where students need to independently complete the introductory "What is AI?" (0.1) lesson, such as before a workshop that focuses on a specific AI tool. It walks them through the slides to learn about AI, and then practice distinguishing technologies that are AI from ones that are not AI, including explanations for each. Students can complete the "advanced" slides after they do the "introduction" ones, to get more practice.

Additional Generative AI Tools

This spreadsheet is a collection of different generative AI tools you might want to have your students explore or to use for demos with your students.

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