For Teachers

Your curriculum. Your simulations. Your cognitive data.

Build simulation packs aligned to your standards. Students play them on the QLM platform. You see how they think — not just what they get right.

Simulation Packs

Group simulations into curriculum-aligned packs

A simulation pack is a set of related simulations that map to a unit, a standard, or a learning progression. Build them from scratch or fork from the community.

Build from Scratch

Choose a template, describe your learning objective, and let AI generate a simulation. Adjust parameters until it matches your curriculum. Add it to a pack. Repeat for each topic in your unit.

Fork and Customize

Browse the marketplace for simulations close to what you need. Fork them into your workspace, adjust the difficulty, time limits, and cognitive dimension mapping. Publish as your own pack.

Share Across Schools

Published packs are available to any teacher who shares your standards. Build once, use across every classroom in your district. Contribute to the community library.

Track Pack Performance

See aggregate cognitive data across every simulation in a pack. Which dimensions are students strong in? Where do they struggle? Adjust simulations based on real performance data.

Standards Alignment

Every simulation maps to standards you teach

Tag simulations with the standards framework your school uses. The QLM engine measures cognitive dimensions that map across frameworks.

NGSS

Next Generation Science Standards

Physics, biology, and chemistry simulations map directly to NGSS performance expectations. Tag each simulation with the specific standard it addresses.

CCSS

Common Core State Standards

Logic, spatial, and quantitative simulations align with CCSS mathematical practices. Narrative simulations align with ELA standards for analysis and argumentation.

Advanced Placement Frameworks

Build simulation packs aligned to specific AP course topics. Use cognitive dimension data to identify students ready for AP-level reasoning.

International Baccalaureate

IB’s emphasis on critical thinking and inquiry maps naturally to QLM’s cognitive dimensions. Use narrative and logic simulations for Theory of Knowledge preparation.

Classroom Integration

From assignment to cognitive data in four steps

No installation. No software to manage. Students play in their browser.

Assign a Pack

Select a simulation pack from your library or the marketplace. Share the link or join code with your class.

Students Play

Students open the simulation at play.quantumlearningmachines.com. No download, no login required for classroom sessions.

Engine Scores

The QLM adaptive engine measures each decision, timing pattern, and strategy across D1-D7 cognitive dimensions.

You See Data

Cognitive profiles appear in TeacherOS. See per-student and class-level data. Identify reasoning patterns and gaps.

Cognitive Data

Seven dimensions of how students think

Every simulation play produces a D1-D7 cognitive profile. Not just right or wrong — how they reason.

Analytical

How students decompose problems, identify patterns, and reason through cause and effect.

Quantitative

Numerical reasoning, estimation accuracy, and comfort with mathematical abstractions.

Verbal

Comprehension depth, argument construction, and ability to extract meaning from complex text.

Spatial

Mental rotation, geometric reasoning, and visualization of abstract relationships.

Adaptive

How quickly students adjust strategy when conditions change. Resilience under uncertainty and novel constraints.

Metacognitive

Self-monitoring, error detection, and awareness of their own reasoning process.

Creative

Novel approaches, divergent thinking, and ability to generate solutions outside conventional patterns.

TeacherOS Connection

Studio data flows into TeacherOS

TeacherOS is the QLM classroom dashboard. Every simulation played by your students produces data that appears automatically in your TeacherOS view.

Your classroom. One dashboard.

TeacherOS shows you the cognitive profile of every student, the mastery trajectory of your class, and the specific reasoning patterns that emerge from simulation play.

Studio simulations are just one data source. TeacherOS also captures data from QLM games, STEM challenges, and daily activities — giving you a complete picture of how each student thinks.

Per-student cognitive profiles (D1-D7)

Class-level mastery heatmaps

Standards alignment tracking

AI-generated student insights

Lab notebooks from simulation play

Parent Reports

Parents see how their child reasons

When students play simulations you created, their parents receive cognitive data through the QLM parent portal.

Beyond grades. Beyond scores.

Traditional report cards tell parents what their child scored. QLM parent reports tell them how their child thinks.

When a student plays your physics simulation, the parent sees: “Your child excels at analytical decomposition (D1) but struggles with adaptive reasoning (D5) when constraints change mid-simulation. Here is what that means and what they can practice.”

This is the data that changes conversations between parents and students from “why did you get a C?” to “let us work on how you adjust when the problem changes.”