Summary of Key activites

Activities
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1
inventfuture: understanding the Future of Work - Data Science / AI across industries
May 2021
May 2021
2
Identifying what students need to learn for the Future of Work - Data Science / AI
June 2021
July 2021
3
inventcurriculum ideation
August 2021
August 2021
4
Making sure IT infrastructure is ready for students to create Data Science / AI projects
August 2021
October 2021
5
Fundraising and getting community partners
June 2021
October 2021
6
inventcurriculum Project #1:
Entry-level (9th grade) Data Science / AI
August 2021
February 2022
7
inventcurriculum Project #2:
Entry-level (10th grade) Data Science / AI
August 2021
March 2022
8
Connecting Future of Work with Core standards
July 2021
June 2022
9
inventcurriculum planning and revision for year 2
April 2022
August 2022
10
inventorspace
June 2021
September 2022
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Some example inventcurriculum ELA Data Science / AI projects could be
Data journalism - Students create an informative or persuasive essay using data visualizations as evidence. The final result would be a blog article students could publish to a personal website.
Model explanability - One of the biggest problems in machine learning (ML) is understanding what a model is actually doing and how it arrives at results. Students could explore and analyze ML models similar to and interpret what features the model is looking for.
Creating an Alexa-type personal assistant / chatbot - in the process of designing and coding this service, students will learn natural language processing, which is an important branch of AI. To make sure their bot understands what a user wants, students will need to deeply learn grammar.

The and break down these activities into sub-tasks and smaller deliverables

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