service / HNK

A strong foundation makes technology less mysterious.

The AI Literacy Foundation introduces students to models, prompts, data, knowledge maps, testing habits, and responsible-use questions.

Core concepts

Students learn plain-language definitions and connect them to examples.

Knowledge maps

A visual map helps students organize relationships between tools, claims, data, and limitations.

First artifact

Outputs include a concept map, reflection note, and next-step question.

Study structure

What students practice inside HNK.

The program path translates AI and STEM interest into concept maps, inquiry notes, build logs, prototype review, and presentation evidence.

01

AI literacy

02

knowledge systems

03

creative technology

04

project evidence

05

responsible innovation