Educational Reality Engines

Frequently Asked Questions

What are Educational Reality Engines?

Educational Reality Engines are free, AI-powered classroom simulations that use constraint architectures to enforce historical accuracy while students experience real consequences of decisions. The engines adapt to any grade level (1-12), adjust reading level independently, and are available in five languages. No signup, no cost, no student data collected. Full COPPA and FERPA compliance by design.

How do the history simulations maintain accuracy?

The simulations use constraint-based architecture to mathematically prevent historically impossible outcomes while preserving authentic decision-making within verified parameters. Students cannot break the simulation because the constraint layer enforces accuracy at every decision point. The same constraint-synthesis methodology used in defense and geopolitical analysis at Constraint Layer Research powers the accuracy enforcement in these educational tools.

Is student data collected or stored?

No personal information is collected or stored by any engine — most engines retain no data at all, while the math diagnostic tools store only anonymous skill assessment results. No accounts, no login, and no signup are required. All engines are COPPA and FERPA compliant by design. For details on what the math engines store, see the full privacy policy.

What is the Word Roots tool?

Word Roots lets students explore meaningful word parts — roots, prefixes, and suffixes from Greek, Latin, French, Germanic, and Old English — and discover how they connect vocabulary across subjects. A student clicks a root like PHOTO and discovers photograph, photosynthesis, photovoltaic, and photophobia. The emphasis is vocabulary transfer: learn a word part once, unlock a whole family of words.

What is Structured Word Inquiry?

Structured Word Inquiry investigates how English words are actually built — bases, affixes, word sums, spelling conventions, morphological families, connecting vowels, and historical relationships. Where the Word Roots tool might teach PHOTO = Light, the SWI engine investigates the actual orthographic structure. These are sibling tools with different analytical lenses: Word Roots asks "What meaningful parts help me understand vocabulary?" while SWI asks "What is the actual morphological and orthographic structure of this word?"

Are these tools really free?

Yes — every engine is free for classroom use with no restrictions, no freemium model, no premium tier, and no feature gating. These tools were built by a teacher to solve real classroom problems. They remain free because the mission is access. Partnership and licensing inquiries for district-wide deployment or custom engine development are available separately.

How do the history engines handle sensitive content like slavery and violence?

The engines use a Non-Graphic Truth Envelope that scales language detail to grade level while refusing to sanitize history with euphemisms. At every grade level, the engines use honest language: "enslaved people" not "servants," "slavery" not "states' rights," "killed" not "passed away." What changes by grade is the level of detail, not the truth. Grade 3-5 students get plain, direct sentences. Grade 9-12 students get full complexity including primary source language.

How do the history engines work? What does the student actually experience?

Students become a documented historical figure, make choices at real decision points, and receive corrections that reveal why the figure actually chose differently. At each moment, the engine presents A/B/C/D options. When a student chooses what the figure actually did, the story deepens with rich historical detail. When they choose wrong, the engine says "But [Figure] did not do this" and explains what actually happened and why — the pressures, loyalties, and constraints that drove the real decision. History is fixed. Student choices affect perspective, not outcomes.

What is The Starfall Forest?

The Starfall Forest is a narrative math adventure where students solve AI-generated problems across six chapters to return fallen stars to the sky. Problems are mapped to NWEA MAP RIT bands 171-230, covering computation, geometry, algebra, measurement, data analysis, and probability. Each problem is verified client-side for accuracy. The engine tracks attempts, provides hints on retry, and generates session reports showing which skills were passed, remediated, or need review.

What is the Math Skills Engine?

The Math Skills Engine is a diagnostic tool that finds where a student's math understanding breaks, repairs it through guided micro-step computation, and verifies the repair. Students select a math domain and percentile level, and the engine presents problems from the corresponding NWEA MAP RIT skill inventory. When a student answers incorrectly, the engine analyzes the error, identifies the broken sub-skill, and teaches it one computation at a time. Repair is verified through a mastery gate requiring three consecutive correct answers on independent problems.