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.
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.
I had students reference the results of the O-Net survey (specifically). The second big change I made was toward the end, where the students are encouraged to also look at the careers that their immediate family members might have - so that they can see a potentially more immediate impact of AI to their family. This is designed for all students (any culture group), as each student will look inward at their own family situations and have a personal connection with the activity and its relevance.
This lesson about identifying the jobs of a Generator and Discriminator has been modified to include another example that could be relatable to students. Baking (generating) a cake using past knowledge from baking brownies and bread.
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.
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.
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.
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
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.
Adust lesson to authors to reflect their areas/regions/states. This modification was designed to build Culturally Relevant elements into the AI curriculum.
