Selection criteria
All eligible submissions were evaluated by an independent judging panel. Judges assigned up to 5 points for each of five selection criteria
The extent to which the submission demonstrates a clear understanding of how and why an AI solution would be effective, as well as implications of the solution, including safety and ethical use.
The extent to which the proposed solution creates a positive impact for a specific career path, employer, or industry.
The extent to which the proposed solution presents a realistic approach to incorporating AI, drawing on technology that is already available.
The extent to which the submission leverages the broader ecosystem, including employers, postsecondary institutions, community organizations, and cross-disciplinary collaboration.
The extent to which the submission demonstrates meaningful student involvement in planning and execution, including participation from a broad group of students and CTE programs.
Additional considerations
The Department of Education reviewed the judges’ recommendations. To ensure an even distribution of awards, the Department may have considered additional characteristics when selecting winners from the top-scoring submissions; these characteristics included:
- Geographic location and local population density.
- Percentage of students enrolled in free and reduced price lunch programs under the Richard B. Russell National School Lunch Act (42 U.S.C. 1759), as amended through P.L. 116–6.
- School size (number of students).