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This page breaks down each of the key activities in the first 1.5 years of establishing the Piper AI academy. The sub-tasks are grouped by Key activities
1.5 year timeline
3
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Key activities
Category
Sub-task
Deliverable
inventXYZ Hours
Start Month
End Month
Example / Elaboration
Dependencies
inventfuture: understanding the Future of Work - Data Science / AI across industries
1
Strategy
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
Workshop with the team
3 hrs
May 2021
May 2021
3 hrs
Sum
Identifying what students need to learn for the Future of Work - Data Science / AI
2
Strategy
Determine the end skills and concepts required for AI and Data Science
A table of core skills and concepts
20 hrs
June 2021
June 2021
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
Curriculum planning
Determine the prerequisite technical skills and concepts and build a progression tree
A table with prerequisites and a visualization of the sequences
60 hrs
June 2021
July 2021
It is possible that one concept can be learned from more than one angle. E.g. the concept of convolution can be introduced when talking about music and audio or it could be introduced with images.
Determine the end skills and concepts required for AI and Data Science
3 days 8 hrs
Sum
Connecting Future of Work with Core standards
3
Curriculum planning
First pass at connecting the technical skills and concepts with the Common Core, AP, and other core standards
Adding more detail to the existing table / visualization
80 hrs
July 2021
July 2021
Determine the prerequisite technical skills and concepts and build a progression tree
Curriculum planning
Highlight units that your teachers may not be currently teaching but are essential to understanding Data Science / AI
A list of units and concepts with descriptions
20 hrs
July 2021
August 2021
E.g. one thing that students will definitely need to learn to truly understand AI is matrices and the idea that multiplying by matrices is literally shifting perspective.
Determine the prerequisite technical skills and concepts and build a progression tree
Curriculum planning
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
A document or table with new proposed math sequences and units/topics that they would cover.
40 hrs
April 2022
June 2022
E.g. you could teach conic sections from the Geometrical perspective in the same semester as the Algebraic perspective and have students do a project related to that.
This might be an ongoing experimentation.
First pass at connecting the technical skills and concepts with the Common Core, AP, and other core standards
5 days 20 hrs
Sum
inventcurriculum ideation
1
Curriculum planning
From the connections, enumerate potential real-world projects and a few possible sequences
A document or table with a list of project ideas, up to a paragraph of description for each and an optional image or screenshot of a possible final product
20 hrs
August 2021
August 2021
E.g. Data Visualization - students create a data story in English using a pre-curated dataset and create a website with an essay that uses data visualizations as evidence.
Signal Processing - In Algebra 2, students use an AI technique to create a software that can take in audio input from a person wearing a mask and modify it so it sounds as clear as if the person was not wearing a mask.
First pass at connecting the technical skills and concepts with the Common Core, AP, and other core standards
20 hrs
Sum
Fundraising and getting community partners
3
Fundraising
Set up meetings with local companies for sponsorship
Meetings set up with local companies’ leaders
20 hrs
June 2021
October 2021
Fundraising
Prepare a pitch slideshow (and making some possible iterations), putting together a clear ask and value proposition
A slideshow or video for the pitches
20 hrs
June 2021
July 2021
We may offer to develop a project where students develop a product relevant to that company, or that company gives us datasets for students to analyze.
We may ask for direct funding, equipment donations, allocations of interns, etc
Determine the end skills and concepts required for AI and Data Science
Fundraising
Pitch with you to companies/foundations for sponsorship
Pitch presentations
20 hrs
August 2021
October 2021
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
2 days 12 hrs
Sum
inventcurriculum Project #1: Entry-level (9th grade) Data Science / AI
10
Curriculum development
Co-design a rough lesson plan with teachers
A lesson plan outline document with descriptions of the activities and stages of each project, what technical skills are addressed, and what scholastic standards are addressed
40 hrs
August 2021
September 2021
This would include the list of units/topics that students would cover through this project, and a sequence diagram of how student teams might progress through the project. This can still be tweaked as we add more detail to the project and revise it for future years.
From the connections, enumerate potential real-world projects and a few possible sequences
Curriculum development
Code / build a technical demo as an example of what students could produce
A technical demo (piece of software) that is an example of what students could produce
40 hrs
September 2021
October 2021
Co-design a rough lesson plan with teachers
Curriculum development
Develop the instructional content, videos, diagrams, quizzes, etc. for students and teachers to be able to follow along and build their own projects
A fully-developed curriculum project in the inventplatform webapp
80 hrs
October 2021
December 2021
Code / build a technical demo as an example of what students could produce
Curriculum development
Collect and clean a variety of datasets for students to choose from
A list of datasets (approximately 1,000 to 10,000 entries) in each dataset
60 hrs
October 2021
December 2021
Cleaning means to put each entry of the data in a standard format.
We want to make available enough data that there is at least 1 topic that is meaningful to students.
Code / build a technical demo as an example of what students could produce
Curriculum implementation
inventXYZ trains teachers - teachers do the project as if they are the students and then reflect as educators
A teacher training session
25 hrs
December 2021
December 2021
Note: we can either have the teachers do the entire project or have them just do a few critical sections for a shorter training time (8-10 hours).
If done in a contiguous block of time, the training session could be done in 4 days.
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
Curriculum development
Revise project materials from teachers’ feedback
Revised curriculum materials in the inventplatform webapp
5 hrs
January 2022
January 2022
Since we have been working collaboratively with the teachers from the start, any revisions are likely to be fairly minor (e.g wording or diagrams)
inventXYZ trains teachers - teachers do the project as if they are the students and then reflect as educators
Curriculum implementation
Pre-test covering both data science objectives and ELA objectives
Pre-test results
1 hr
February 2022
February 2022
Collecting data about where students are starting from will help us truly measure the impacts on student learning and help improve the content
Revise project materials from teachers’ feedback
Curriculum implementation
Students create their data visualizations / write code for their analysis
Students in 9th grade ELA complete the project during class
30 hrs
February 2022
February 2022
Pre-test covering both data science objectives and ELA objectives
Curriculum implementation
Students present their data visualizations / analyses to school leadership, community members, and/or local companies
A student presentation
2 hrs
February 2022
February 2022
Students create their data visualizations / write code for their analysis
Curriculum implementation
Post-test covering both data science objectives and ELA objectives
Post-test results
2 hrs
February 2022
February 2022
Students present their data visualizations / analyses to school leadership, community members, and/or local companies
11 days 21 hrs
Sum
inventcurriculum Project #2: Entry-level (10th grade) Data Science / AI
9
Curriculum development
Co-design a rough lesson plan with teachers
A lesson plan outline document with descriptions of the activities and stages of each project, what technical skills are addressed, and what scholastic standards are addressed
40 hrs
August 2021
September 2021
This would include the list of units/topics that students would cover through this project, and a sequence diagram of how student teams might progress through the project. This can still be tweaked as we add more detail to the project and revise it for future years.
From the connections, enumerate potential real-world projects and a few possible sequences
Curriculum development
Code / build a technical demo as an example of what students could produce
A technical demo (piece of software) that is an example of what students could produce
40 hrs
October 2021
October 2021
Co-design a rough lesson plan with teachers
Curriculum development
Develop the instructional content, videos, diagrams, quizzes, etc. for students and teachers to be able to follow along and build their own projects.
A fully-developed curriculum project in the inventplatform webapp
80 hrs
November 2021
December 2021
Code / build a technical demo as an example of what students could produce
Curriculum implementation
inventXYZ trains teachers - teachers do the project as if they are the students and then reflect as educators
A teacher training session
25 hrs
December 2021
December 2021
Note: we can either have the teachers do the entire project or have them just do a few critical sections for a shorter training time (8-10 hours).
If done in a contiguous block of time, the training session could be done in 4 days.
Develop the instructional content, videos, diagrams, quizzes, etc. for students and teachers to be able to follow along and build their own projects.
Curriculum development
Revise project materials from teachers’ feedback
Revised curriculum materials in the inventplatform webapp
5 hrs
January 2022
January 2022
Since we have been working collaboratively with the teachers from the start, any revisions are likely to be fairly minor (e.g wording or diagrams)
inventXYZ trains teachers - teachers do the project as if they are the students and then reflect as educators
Curriculum implementation
Pre-test covering both data science objectives and ELA objectives
Pre-test results
1 hr
March 2022
March 2022
Collecting data about where students are starting from will help us truly measure the impacts on student learning and help improve the content
Revise project materials from teachers’ feedback
Curriculum implementation
Students create their data visualizations / write code for their analysis
Students in 9th grade ELA complete the project during class
30 hrs
March 2022
March 2022
Pre-test covering both data science objectives and ELA objectives
Curriculum implementation
Students present their data visualizations / analyses to school leadership, community members, and/or local companies
A student presentation
2 hrs
March 2022
March 2022
Students create their data visualizations / write code for their analysis
Curriculum implementation
Post-test covering both data science objectives and ELA objectives
Post-test results
2 hrs
March 2022
March 2022
Students present their data visualizations / analyses to school leadership, community members, and/or local companies
9 days 9 hrs
Sum
Making sure IT infrastructure is ready for students to create Data Science / AI projects
1
Strategy
Help you understand IT infrastructure requirements so that you know what tools and permissions students need to be able to code.
A list of software and sites that need to be unblocked, some programs that need to be installed, and some permissions that students will need to be able to do their projects.
Also, some example workflows detailing what technical tools students might need in each project
40 hrs
August 2021
October 2021
E.g. to use many tools for machine learning such as specific libraries of code for python, students will need access to the command line, sites like github will need to be unlocked. This will be a bit of an iterative process.
1 day 16 hrs
Sum
inventorspace
10
Space/facilities planning
Help identify the area in the high school to turn into an inventorspace
Work with your team and facility planners to highlight a suitable space in the school floorplan
5 hrs
June 2021
June 2021
Space/facilities planning
Identify the physical specifications and potential alterations required for the space
A list of general specifications and potential alterations
20 hrs
June 2021
July 2021
E.g. specifications for acoustics reverb time and total loudness, ventilation, overall illumination, and some specific notes on what might need to be improved in the area chosen.
Help identify the area in the high school to turn into an inventorspace
Space/facilities planning
Help your facilities team generate the budget for the inventorspace to request in the bond
A budget estimate table with line items for equipment, furnishings, lighting, etc, and installation labor.
160 hrs
July 2021
August 2021
Identify the physical specifications and potential alterations required for the space
Bond
Help pitch the overall vision of the AI academy, the space, and curriculum to constitutuents
Presentations at townhalls (or video interviews, etc)
20 hrs
September 2021
November 2021
From the connections, enumerate potential real-world projects and a few possible sequences
Help your facilities team generate the budget for the inventorspace to request in the bond
Bond
Wait for bond to pass
January 2022
February 2022
Help pitch the overall vision of the AI academy, the space, and curriculum to constitutuents
Space implementation
Finalize vendors for equipment, lighting, and other furnishings
A table of final vendors, why that vendor was picked, pricing, and delivery schedule estimates.
60 hrs
February 2022
April 2022
Help your facilities team generate the budget for the inventorspace to request in the bond
Space implementation
Work with your facilities team / architects to determine final plans for the inventorspace
Final architectural plans and a 3D walkthrough
80 hrs
February 2022
April 2022
Help your facilities team generate the budget for the inventorspace to request in the bond
Space implementation
Your existing General Contractors will renovate and install the inventorspace furnishings according to the plans
A finished inventorspace
20 hrs
June 2022
August 2022
The construction and installation will be handled by your standard contractors. inventXYZ will simply provide some oversight and quality control to make sure things are set up as intended.
Work with your facilities team / architects to determine final plans for the inventorspace
Space implementation
Equipment vendors will install the equipment and test it
A fully-furnished inventorspace with equipment
20 hrs
June 2022
August 2022
The construction and installation will be handled by your standard contractors. inventXYZ will simply provide some oversight and quality control to make sure things are set up as intended.
Your existing General Contractors will renovate and install the inventorspace furnishings according to the plans
Work with your facilities team / architects to determine final plans for the inventorspace
Space implementation
Grand opening of inventorspace
An event to which public and funders can be invited
2 hrs
September 2022
September 2022
16 days 3 hrs
Sum
inventcurriculum planning and revision for year 2
3
Curriculum planning
Reflect on projects #1 and #2 and revise as needed
Workshop presentation with district leaders on learnings and strategy for year 2
20 hrs
April 2022
April 2022
Post-test covering both data science objectives and ELA objectives
Post-test covering both data science objectives and ELA objectives
Curriculum development
Begin developing the next batch of projects as per our previously identified curriculum progression
Curriculum outlines for the next batch of projects
60 hrs
June 2022
August 2022
We’ll add more detail as we create our plan in 2021 fall and see the initial batch of projects in 2022 spring.
Reflect on projects #1 and #2 and revise as needed
From the connections, enumerate potential real-world projects and a few possible sequences
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
Curriculum implementation
Teacher training for new batch of projects
Teacher training sessions
40 hrs
August 2022
August 2022
We’ll add more detail as we create our plan in 2021 fall and see the initial batch of projects in 2022 spring.
Begin developing the next batch of projects as per our previously identified curriculum progression
5 days
Sum
56 days 16 hrs
Sum
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