The act of remembering is the act of learning.
Roediger & Karpicke (2006)
Pulling a fact out of memory strengthens it more than putting it in. Luna's loop is built around spaced retrieval surfaced inside meaningful problems.
Luna is currently being shaped inside one private-school deployment. The product is built on a single conviction: learning accelerates when a student's thinking is captured the moment it happens — and the teacher can see it.
Luna isn't built on novelty — it's built on the parts of cognitive science that have replicated for half a century. Here is the spine of the research, and what each finding becomes in software.
Roediger & Karpicke (2006)
Pulling a fact out of memory strengthens it more than putting it in. Luna's loop is built around spaced retrieval surfaced inside meaningful problems.
Bjork & Bjork (2011)
Luna deliberately introduces small struggles — interleaving, generation, delayed feedback — calibrated so that the student fights productively rather than fails.
Black & Wiliam (1998)
Feedback during learning has massive effects. Luna turns every interaction into a formative checkpoint for both the student and the teacher in real time.
Thinking Made Visible: The Cognitive Science of Atomized Thought-Capture, Real-Time Misconception Modeling, and Extended-Mind Pedagogy. A formal account of the research Luna is built on, with in-text citations and a complete bibliography of the cognitive-science literature behind retrieval practice, desirable difficulty, formative assessment, metacognition, free-response diagnostics, the misconception tradition, and extended cognition.
Luna doesn't model skills as nodes a student fills in. We model thinking as a sequence: tiny exercises, each describing one step of reasoning, threaded into chains the student walks through while we listen. The trace is stored as a zettelkasten — the student's own linked memory of every idea they have had.
Luna asks the student to perform one specific move of thought. The atom is the smallest unit at which a thought can be observed.
Students traverse atoms in a chain. That thought becomes the input to the next atom, mimicking how a mathematician or close-reader actually moves.
Captured thoughts are written to a zettelkasten. Notes are atomic, addressable, and densely cross-linked, building the student's personal knowledge graph.
We do not force a single interaction model across disciplines. Math and Physics demand manipulation of models—sliders, area builders, and number lines. ELA and History demand close reading, context-switching, and evidence synthesis.
The student interacts directly with the mathematical structure. The cognitive work is spatial and structural.
The student immerses in a primary text to identify rhetorical moves and defend claims. The cognitive work is analytical and comparative.
Every thought captured in a chain is written as an atomic note and linked to the notes it touches. Over a year the student accumulates their own personal knowledge graph — a zettelkasten in Luhmann's sense, mechanically maintained by Luna.
Luna's most important design decision: most atoms ask the student to write what they're thinking. Multiple choice still exists, but it is the minority path; freewrite is the spine.
Not a worksheet. A single atom — one thinking step — chosen by the chain to land where the student's reasoning needs to do work right now.
A short freewrite field, voice transcript, or scratchpad. If the draft stalls, a Cerebras-powered margin nudge offers one quiet hint. No chat loop, no answer giveaway.
Ratio Scaling, Number Line Walker, Fraction Pie, Partition Bar, Area Model, and the chemistry labs are embedded in atoms and open in /labs for reference.
The teacher's dashboard updates the moment a student's thinking diverges from the expected path. Not at the end of the unit. Not on next week's report. Right now.
Explain why 5 + (-3) feels like subtraction.
Bubble tests collapse a student's thinking into one of four buttons. Luna refuses that compression. By asking students to write — even just a sentence — we recover the structure of their reasoning and can name the misconception precisely.
A binary signal, lossy by design.
Student got it wrong. That's all. Was it confusion about π? Forgetting to square? A guess? An off-by-one on the radius? We cannot tell.
A trace of the actual reasoning.
Luna maintains a living taxonomy of misconceptions — currently 1,200+ named patterns across K–12. When a student's freewrite matches one, the teacher sees the diagnosis and the targeted re-teach in one click.
Luna doesn't replace what you do. It gives you the instrumentation you've always wished a textbook came with.
A small panel on the dashboard pings when three or more students hit the same misconception in the same lesson. The teacher can re-teach mid-period instead of waiting for the quiz.
Click any student to replay every chain they ran this week — every atom, every captured thought, every link they made into their zettelkasten. The conference becomes specific.
Every named misconception is paired with a 90-second mini-lesson, a worked example, and a fresh practice set. Push it to one student, a small group, or the whole class.
Proficiency rolls up by standard automatically. Parent conferences shift from "she has a B-" to "she is proficient in 14 of 16 algebra standards, and here is what to work on."
The teacher can write one-step prompts and drop them into any chain. Luna captures the student thoughts the same way and threads the new notes into the zettelkasten.
Every Friday Luna produces a one-page summary: who advanced, who stalled, what misconceptions are spreading, and three specific moves to make next week.
For a student with an IEP, vague progress notes are not enough. Luna records atom-level evidence: what was attempted, what support was needed, and what misconception appeared.
The school psychologist has a unified view, pulling direct fluency and misconception data from daily play to streamline IEP writing and progress monitoring.
Integrated Co-Teaching classrooms benefit from seamless differentiation without stigmatizing alternate interfaces. For District 75 and intensive intervention settings, Luna provides explicit scaffolded pathways, larger hit-targets, and text-to-speech scaffolding.
Granular, timestamped performance tracking directly supports MTSS (Multi-Tiered Systems of Support) reporting requirements and delivers the objective data required under IDEA to demonstrate Free Appropriate Public Education (FAPE).
Luna compresses the time required to reach grade-level proficiency on the traditional course, freeing the rest of the term for deeper, more generative teaching.
Class time is at the laptop. The platform differentiates atom-by-atom — a student who already knows slope skips it; a student who doesn't gets unlimited targeted practice in six different formats. The teacher spends the period on the four or five students the dashboard flags as stuck. Spaced repetition runs in the background, so no Friday is spent on review.
With the class already at grade level, laptops retreat to the edges of the room. Class becomes pencil-and-paper, board work, discussion, projects, live games. Luna runs at home for retention. Your authoring canvas is open — you fork canonical modules into your voice and write the units the textbook never had.
Luna doesn't replace the teacher. It gives the teacher the year back.
In Phase 2, school leadership sees the teacher doing the most visible craft of their career: building original units, running project work, leading discussion. The platform is in the room, but it is no longer the room.
Thirty minutes, a real prompt, a real class section. We'll show what live thought-capture looks like on a roster, with school standards.