Bloom's tutoring benchmark sets the aspiration: find the gap early enough for a teacher to respond.
The patterns averaged grades hide.
Old gradebooks summarize last week's tests.
From one response to a teacher decision.
The first post-hero proof points are the ones a district evaluator needs to see: learning science, teacher control, and standards-level traceability.
Rubric scores, groups, and lesson changes stay editable until teacher review.
Each gap traces to learning components and standards, not a generic practice queue.
A student's work becomes tomorrow's decision.
Follow the evidence chain a teacher can inspect: artifact, mastery estimate, prerequisite risk, and a draft action for review.
Start with the work, not an average.
Hologram captures Sophia's response, the answer path, and the exact step that changed the result. The artifact stays attached to every recommendation.
3(x + 4) = 213x + 4 = 21Keep the gradebook familiar while the standards model gets sharper.
The gradebook can still read 72%. The standards model now shows Sophia's distributive-property mastery as developing, updated from the same piece of evidence.
Trace tomorrow's risk to the prerequisite underneath it.
Hologram traces the failed distribution back through the standards graph. The next standard, 7.EE.B.4 (Solve linear equations), depends on it. Readiness for tomorrow's assessment drops to 41%.
Draft the next move. Let the teacher decide.
By tomorrow morning, the lesson plan has a 12-minute warm-up on the distributive property and a small-group review for Sophia, Marcus, and Olivia. The recommendation stays pending until the teacher approves.
Recommended for teacher approval
Hologram has prepared the warm-up and small-group review. Approve, edit, or decline before the action queues.
Action queues only after approval
The same pattern scales to the class.
The class pattern appears.
Sophia, Marcus, and Olivia show the same distributive-property gap across recent work. Separate gradebook rows become one instructional pattern.
| Student | 6.EE.A.2 | 6.EE.A.3 | 7.EE.B.4 | Review | Trend |
|---|---|---|---|---|---|
| Sophia M. | ↓ | ||||
| Marcus J. | ↓ | ||||
| Olivia P. | ↓ |
The prerequisite chain explains it.
Hologram traces 6.EE.A.3 through the standards graph and shows why tomorrow's 7.EE.B.4 lesson is at risk.
The intervention stays a draft.
A 12-minute warm-up and small-group review are prepared for teacher approval, with the evidence attached.
Grade, mastery, gap: one response.
Hologram shows the evidence behind a recommendation: rubric evidence, mastery update, prerequisite risk, and a teacher-reviewed intervention draft.
- 01Artifact
Sophia's work is parsed line by line.
- 02Rubric evidence
The 6.EE.A.3 distribution error is attached to the rubric.
- 03Mastery update
The estimate updates from approved evidence, not averages.
- 04Prerequisite risk
Tomorrow's 7.EE.B.4 readiness changes because the prerequisite is weak.
- 05Draft action
A review mini-lesson is prepared for teacher approval.
Solve for x: 3(x + 4) = 21
The grading signal stays attached to the work sample, so the recommendation can be checked before approval.
- Identifies equation type
- Applies distributive property6.EE.A.3
- Isolates the variable
- Verifies solution
Solve linear equations with variables on one side
Based on 7 observations · posterior estimateWrite and evaluate expressions
91%→Apply distributive property
48%→Solve linear equations
52%Solve for x: 3(x + 4) = 21
The recommendation stays tied to the visible work sample, so the teacher can review the reasoning before anything changes.
- 01Rubric evidence6.EE.A.3
Line 2 shows the distributive-property error.
- 02Mastery update68% -> 52%
7.EE.B.4 changes from approved evidence.
- 03Prerequisite riskGap
6.EE.A.3 is weak enough to affect tomorrow's equation work.
- 04Teacher draft~12 min
A review mini-lesson is prepared, not assigned.
Distributive property gap detected. Review before continuing 7.EE.B.4 to reduce compounding error.
Preview only. Teacher approval required before grades, groups, or lessons change.
Bounded claims, visible reasoning.
Hologram uses learning-science principles to organize evidence and support decisions. It does not ask districts to accept black-box claims or unmeasured outcomes.
Pilot outcomes are not yet available; this section explains the design basis and its limits.
- Research principle
Formative assessment
Black & Wiliam · Hattie
Product behaviorStudent work becomes evidence before the next lesson.
Classroom outcomeTeachers see what to reteach while there is still time to act.
Research supports formative assessment broadly; Hologram's own pilot outcomes are not yet available.
- Research principle
Mastery learning
Bloom
Product behaviorStandards mastery updates separately from percentage grades.
Classroom outcomeTeachers can distinguish score performance from standard readiness.
Used as design grounding, not as a claim of measured Hologram effect.
- Research principle
Bayesian Knowledge Tracing
Corbett & Anderson
Product behaviorNew evidence updates a learner model over time.
Classroom outcomeReadiness estimates change as students submit work.
Model estimates are decision support and remain teacher-reviewed.
- Research principle
Prerequisite learning
Standards graph
Product behaviorHologram traces a current error back to a prerequisite standard.
Classroom outcomeTeachers can reteach the smaller missing skill before advancing.
Prerequisite links require ongoing curriculum and teacher review.
- Research principle
Teacher review
Human-in-the-loop design
Product behaviorRecommendations stay pending until approved.
Classroom outcomeTeachers keep control over grades, interventions, and schedule changes.
Evidence informs the draft. Teachers make the call.
Evidence informs the draft. Teachers make the call.
What schools ask before the pilot.
Ready to see every student?
Hologram is opening a small Fall 2026 founding cohort for 3-5 schools. Start with middle school math, run beside your LMS, and evaluate the evidence chain before any broader rollout.
FERPA review · COPPA review · LTI 1.3