Gantt chart / Timeline view

Below, the key activities from May 2021 to September 2022 are outlined.
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Each activity is colored based on its category
Categories
1
1
Strategy
2
Fundraising
3
Curriculum planning
4
Curriculum development
5
Curriculum implementation
6
Bond
7
Space/facilities planning
8
Space implementation
There are no rows in this table

If you hover over an activity in the timeline, you can see more details:
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Even more details are available on the page.

If a task depends on another task, there is an arrow connecting them

2021
3
Search
inventfuture: understanding the Future of Work - Data Science / AI across industries
inventfuture workshop with leadership team to demystify the Future of Work / AI and brainstorm how those core skills can be introduced into core courses for every student
Identifying what students need to learn for the Future of Work - Data Science / AI
Determine the end skills and concepts required for AI and Data Science
Determine the prerequisite technical skills and concepts and build a progression tree
Connecting Future of Work with Core standards
First pass at connecting the technical skills and concepts with the Common Core, AP, and other core standards
Highlight units that your teachers may not be currently teaching but are essential to understanding Data Science / AI
inventcurriculum ideation
From the connections, enumerate potential real-world projects and a few possible sequences
Fundraising and getting community partners
Set up meetings with local companies for sponsorship
Prepare a pitch slideshow (and making some possible iterations), putting together a clear ask and value proposition
Pitch with you to companies/foundations for sponsorship
inventcurriculum Project #1: Entry-level (9th grade) Data Science / AI
Co-design a rough lesson plan with teachers
Code / build a technical demo as an example of what students could produce
Develop the instructional content, videos, diagrams, quizzes, etc. for students and teachers to be able to follow along and build their own projects
Collect and clean a variety of datasets for students to choose from
inventXYZ trains teachers - teachers do the project as if they are the students and then reflect as educators
inventcurriculum Project #2: Entry-level (10th grade) Data Science / AI
Co-design a rough lesson plan with teachers
Code / build a technical demo as an example of what students could produce
Develop the instructional content, videos, diagrams, quizzes, etc. for students and teachers to be able to follow along and build their own projects.
inventXYZ trains teachers - teachers do the project as if they are the students and then reflect as educators
Making sure IT infrastructure is ready for students to create Data Science / AI projects
Help you understand IT infrastructure requirements so that you know what tools and permissions students need to be able to code.
inventorspace
Help identify the area in the high school to turn into an inventorspace
Identify the physical specifications and potential alterations required for the space
Help your facilities team generate the budget for the inventorspace to request in the bond
Help pitch the overall vision of the AI academy, the space, and curriculum to constitutuents
May 17
Jun 21
Jul 26
Aug 30
Oct 4
Nov 8
Dec 13
inventfuture workshop with leadership team to demystify the Future of Work / AI and brainstorm how those core skills can be introduced into core courses for every student
Determine the end skills and concepts required for AI and Data Science
Determine the prerequisite technical skills and concepts and build a progression tree
First pass at connecting the technical skills and concepts with the Common Core, AP, and other core standards
Highlight units that your teachers may not be currently teaching but are essential to understanding Data Science / AI
From the connections, enumerate potential real-world projects and a few possible sequences
Set up meetings with local companies for sponsorship
Prepare a pitch slideshow (and making some possible iterations), putting together a clear ask and value proposition
Pitch with you to companies/foundations for sponsorship
Co-design a rough lesson plan with teachers
Code / build a technical demo as an example of what students could produce
Develop the instructional content, videos, diagrams, quizzes, etc. for students and teachers to be able to follow along and build their own projects
Collect and clean a variety of datasets for students to choose from
inventXYZ trains teachers - teachers do the project as if they are the students and then reflect as educators
Co-design a rough lesson plan with teachers
Code / build a technical demo as an example of what students could produce
Develop the instructional content, videos, diagrams, quizzes, etc. for students and teachers to be able to follow along and build their own projects.
inventXYZ trains teachers - teachers do the project as if they are the students and then reflect as educators
Help you understand IT infrastructure requirements so that you know what tools and permissions students need to be able to code.
Help identify the area in the high school to turn into an inventorspace
Identify the physical specifications and potential alterations required for the space
Help your facilities team generate the budget for the inventorspace to request in the bond
Help pitch the overall vision of the AI academy, the space, and curriculum to constitutuents
2022
3
Search
Connecting Future of Work with Core standards
From the connections explore the possibility of reorganizing math courses so that students more easily grasp connections required for Data Science / AI / Future of Work and see the connections between different topics
inventcurriculum Project #1: Entry-level (9th grade) Data Science / AI
Revise project materials from teachers’ feedback
Pre-test covering both data science objectives and ELA objectives
Students create their data visualizations / write code for their analysis
Students present their data visualizations / analyses to school leadership, community members, and/or local companies
Post-test covering both data science objectives and ELA objectives
inventcurriculum Project #2: Entry-level (10th grade) Data Science / AI
Revise project materials from teachers’ feedback
Pre-test covering both data science objectives and ELA objectives
Students create their data visualizations / write code for their analysis
Students present their data visualizations / analyses to school leadership, community members, and/or local companies
Post-test covering both data science objectives and ELA objectives
inventcurriculum planning and revision for year 2
Reflect on projects #1 and #2 and revise as needed
Begin developing the next batch of projects as per our previously identified curriculum progression
Teacher training for new batch of projects
inventorspace
Wait for bond to pass
Finalize vendors for equipment, lighting, and other furnishings
Work with your facilities team / architects to determine final plans for the inventorspace
Your existing General Contractors will renovate and install the inventorspace furnishings according to the plans
Equipment vendors will install the equipment and test it
Grand opening of inventorspace
Dec 27
Jan 31
Mar 7
Apr 11
May 16
Jun 20
Jul 25
Aug 29
From the connections explore the possibility of reorganizing math courses so that students more easily grasp connections required for Data Science / AI / Future of Work and see the connections between different topics
Revise project materials from teachers’ feedback
Pre-test covering both data science objectives and ELA objectives
Students create their data visualizations / write code for their analysis
Students present their data visualizations / analyses to school leadership, community members, and/or local companies
Post-test covering both data science objectives and ELA objectives
Revise project materials from teachers’ feedback
Pre-test covering both data science objectives and ELA objectives
Students create their data visualizations / write code for their analysis
Students present their data visualizations / analyses to school leadership, community members, and/or local companies
Post-test covering both data science objectives and ELA objectives
Reflect on projects #1 and #2 and revise as needed
Begin developing the next batch of projects as per our previously identified curriculum progression
Teacher training for new batch of projects
Wait for bond to pass
Finalize vendors for equipment, lighting, and other furnishings
Work with your facilities team / architects to determine final plans for the inventorspace
Your existing General Contractors will renovate and install the inventorspace furnishings according to the plans
Equipment vendors will install the equipment and test it
Grand opening of inventorspace
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