A map is a picture of debts
This track asks a student to draw what is known, borrowed, and empty before a model rearranges the sentences. A knowledge map is not a mind map of slogans. Each node is a claim. Each arrow is a dependency. Empty nodes stay empty until a source exists. That is how HNK keeps “human knowledge” visible on paper while a generator is tempting the student to skip the gaps.
A useful map for an AI-literacy task has four kinds of node: observed, cited, generated, and unknown. Mixing those four into one confident paragraph is the failure this track is built to catch. A classmate should be able to point at a node and ask “who paid for this sentence?”
- Write the question at the top of the page, not the tool name.
- Put generated nodes in a separate column. Do not blend them into cited nodes.
- Leave unknown nodes blank. Filling them to look finished is the error.
- After a teach-back, revise the map, not the adjectives.
This track does not train laboratory protocol (that is QKV) and does not train a prototype on a table (that is QFP). It trains a drawing a second reader can interrogate. Write info@hnk.org if you want this track as a school module.