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Learning systems · Knowledge visualization · Applied AI

Learning Systems Lab

A broader laboratory for research, document analysis, progressive disclosure, and visual learning around the narrower CertGraph thesis.

State
Broader learning-system laboratory
Form
Case study
Updated
2026-09-11
  1. Source
  2. Structure
  3. Explanation
  4. Practice

Screens

All screens in the gallery →
Learning Systems Lab home page headed “Watch a launched ball. Build the model.” with an equal-time trace of a horizontally launched ball.
Home page and Experiment 01. Local build, captured 24 September 2026.
The “Apollo, connected” learning toy: a knowledge graph of the Apollo 11 neighborhood and a side panel describing Apollo 11 and its relationships.
Learning Toy 01, an authored Apollo knowledge graph that cites its public sources. Captured 24 September 2026.
Learning Systems Lab Experiment 04, “The delivery scan”: a fictional business-records case with highlighted facts from the scenario and answer options to admit or exclude the scan.
Experiment 04, a fictional evidence-rule case where the question and the reasoning stay separate. Local build, captured 24 September 2026.
Learning Systems Lab Experiment 03, “Connected, but offline”: a fictional request path from laptop to router, internet, DNS, and website, with the first diagnostic question.
Experiment 03, a fictional network diagnosis tested one boundary at a time. Local build, captured 24 September 2026.
Learning Toy 05, “Trace a small sustainable-energy web”: a dark network of energy concepts such as solar power, wind power, batteries, and the electric grid, with a side panel on renewable energy.
Learning Toy 05, a remaster of an original 14-concept web. Local build, captured 24 September 2026.
01

Problem

Complex technical material is often compressed into interfaces that show more information while making reasoning harder to follow.

02

Actual state

A deployed prototype family exists, but the broad product thesis has not been validated with a cohort or a single learning outcome.

03

System architecture

Document and research inputs support structured explanations, interactive knowledge views, and guided learning surfaces.

04

Christian's role

Directed the learning interfaces, knowledge-visualization experiments, and document/research workflows, and decided the separation that produced CertGraph.

05

Verified evidence

reviewLegibility and product-separation review completed
06

Safety, privacy, and authority boundary

  • Broad feature coverage is not learning efficacy
  • CertGraph remains a separate focused product
07

Current limitation

  • The platform still needs one technical domain, cohort, and measurable outcome.
08

Next milestone

Document the laboratory role around CertGraph.