Experience it yourself
Use the same short learner-facing demonstration before deciding whether a cohort workflow is worth exploring.
Open the Performance ChallengeFor educators
Support learners who know the math — yet do not always perform it reliably.
MedMathMindset helps healthcare learners build more usable quantitative performance through provider-specific practice, retrieval work, confidence calibration, contextual variation, and pressure-aware training. It complements your teaching rather than replacing your curriculum or LMS.
“I know the math — but I freeze.”“I can do it until exam time.”“I lost it during the scenario.”
Try the 3–5 minute Performance ChallengeShare MMM Live with learnersStart a small educator pilotSee the learner experience
Free facilitator accountNo roster upload requiredShare one link with learners7-day learner trial
A demonstration you can experience or share
Four brief moments. More useful questions than “What was the score?”
The public Performance Challenge takes about 3–5 minutes, requires no account or email, and samples a provider-specific core relationship, a changed presentation, a reasonableness check, and a second blueprint domain. The summary demonstrates the kinds of performance signals MedMathMindset is designed to notice: accuracy, transfer stability, confidence calibration, reasonableness, and within-person response timing.
Share a provider link
Choose the learner’s provider level in the challenge and copy a provider-specific link. The public preview asks for no name or email.
Provider blueprint samplingKeep formal data formal
The public preview stays separate from the authenticated Starting Point Assessment, Prescription GPS, MathPulse, certification, and cohort records. Enrolled workflows use the broader evidence needed for actual learning decisions.
Demonstration ≠ placementLow-friction educator pilot
Create the free account. Name the cohort. Copy the link.
MedMathMindset already supports a three-step facilitator path with no roster upload: create the free educator account, create one provider-aware cohort, and share the student enrollment link MedMathMindset generates automatically. The pilot page adds a provider-aware launch path and a printable implementation guide so an educator can move from curiosity to a real cohort without an implementation meeting.
Start with one cohort
Choose a provider track, use the suggested cohort name or your own, and keep advanced term settings closed unless you need them.
No roster uploadShare one enrollment link
Learners opt in themselves. The cohort screen creates the invitation, join code, and shareable URL together.
LMS / email / syllabus readyUse the implementation guide
Launch with a copy-ready learner message, a practical pilot flow, review questions, and interpretation guardrails. The guide is formatted for print or Save as PDF.
MedMathMindset.com branded guideHow MMM fits your teaching
A focused support layer for healthcare numeracy and performance.
MMM is designed for the gap between recognizing a method and being able to retrieve, adapt, and execute it reliably when timing, unfamiliar wording, or clinical context increases the demand. It complements your curriculum and LMS rather than replacing them.
Fast cohort setup
Create a cohort, choose the provider track, and share one enrollment link or join code. Learners join themselves, so a roster upload is not required.
Affiliation + join link + cohort lifecyclePrescription-aware support
Learner goals, practice, games, domain evidence, confidence calibration, and recent activity can inform the next provider-relevant practice emphasis.
Focus + support + difficulty + spacingOptional games, not mandatory gamification
Use engaging game formats when they fit, or preserve quiet practice. MathPulse can allow the learner, facilitator, or MMM to control the activity format without changing the prescription focus.
Facilitator / learner / MMM format controlFree reinforcement outside class
Point learners to MMM Live, the Scratch Pad, and the Learning Library for guided review, visual work, and lower-friction practice outside scheduled class time.
No curriculum replacement requiredEducator intelligence & support tools
See more than a final score.
Facilitator tools are cohort-scoped and designed to turn learning interactions into practical teaching signals without turning private support data into public rankings.
Cohort analytics
Review engagement, certification and summative outcomes, MathPulse accuracy, learning events, prescription coverage, spaced-practice workload, domain performance, and learner drill-down across selectable reporting windows.
30 / 90 / 180 / 365 days or all historyIndividual learner intelligence
Open a cohort-authorized learner view with exam history, domain performance, MathPulse sessions and valid reps, practice evidence, prescription signals, and certification reports.
Individual PDF reportingItem analysis
Inspect item difficulty, response patterns, average response time, corrected discrimination, confidence intervals, configured difficulty, and quality flags to support educator review.
Item-analysis PDF + integrity-safe reviewMathPulse learning dashboard
Filter for learners who need attention, due reviews, or limited data; review accuracy, confidence alignment, challenge load, recommended format, prescription focus, and the reason behind the recommendation.
Private learning signals, not labelsMathPulse format control
For opted-in learners, choose facilitator-guided, learner-selected, or MMM-guided activity formats and apply approved game/practice formats to selected learners or groups.
Bulk control + learning-design guideCertification intelligence & reports
Review cohort certification results, learner result reports, growth and mastery patterns, provider-context comparisons where privacy thresholds are met, and certificate-related workflows.
Reports + CSV/PDF + certificate toolsOptional cohort challenge
Where used, the certification challenge can emphasize improvement, mastery, and participation rather than raw rank alone, with comparison rules tied to the same provider, exam version, blueprint, and assessment context.
Growth + mastery + participationContext and timing intelligence
Consented, aggregated timing patterns can support scheduling conversations while preserving the system’s own warning: correlations are advisory and should not replace accommodations, course logistics, sample-size review, or educator judgment.
Privacy-aware, minimum-evidence guardrailsEducator guardrail: MMM’s confidence, readiness, challenge-load, timing, and related support signals are learning-support data—not diagnoses, grades, or permission to lower the required clinical-math standard. The system is designed to support educator judgment, not replace it.
Built for education in the age of AI
AI can explain and generate. MedMathMindset adds a governed evidence layer.
General-purpose AI can be an excellent tutor. MedMathMindset is designed for a different institutional question: can a healthcare program see consistent evidence that learners can retrieve, apply, and retain role-relevant mathematics over time?
Common measurement framework
Learners can follow individualized practice paths while the program retains common provider blueprints, evidence definitions, readiness rules, retention thresholds, and reporting semantics.
Comparable evidence, individualized learningLongitudinal evidence chain
Starting Point, scored practice, confidence calibration, changed presentations, later-day revisits, readiness, retention, and educator signals can be viewed as one learning history rather than disconnected tutoring conversations.
Measure → intervene → verifyProgram Intelligence
Faculty can focus on three practical questions: Where are learners now? Who needs intervention, and why? Did the intervention work and persist?
Evidence for educator judgmentMMM does not position AI as the enemy. AI can support explanations, content generation, and learning interactions. MMM's institutional value is the controlled measurement, longitudinal evidence, intervention logic, and reporting framework around those interactions.
Learning science without medicalizing the learner
Use repeated practice to build more durable performance.
MMM uses retrieval, spacing, feedback, contextual variation, calibration, and progressively adjusted challenge to create repeated opportunities for learning and transfer. Those experiences are consistent with neuroplastic learning—the brain changes with repeated use—but MMM does not promise instant “rewiring,” diagnose anxiety, or provide CBT/psychotherapy or other mental-health treatment.
Trial, affiliation & pricing
A simple learner message.
7-day free trial
All new learners can begin with a 7-day trial, whether registering independently or through a school/program cohort.
Affiliated learners
After the trial, current public pricing is $15 for 3 months for affiliated learners.
Independent learners
Independent learners can begin with the same trial and continue at $20 for 3 months.
A human teaching layer you can share now
MedMathMindset Live with Dr. Steele
Educators can share the free Live sessions with learners without changing curriculum, LMS workflows, or institutional systems. Learners can watch healthcare-math reasoning on the MMM Scratch Pad, ask questions, request a repeat, or participate verbally only if they choose.
Low-friction learner support
A standing, no-cost resource gives learners another place to work through quantitative reasoning without requiring a program-wide adoption decision.
Visible reasoning
Live scratch-pad teaching makes setup, unit handling, estimation, and reasonableness visible rather than presenting only a final answer.
Complements the evidence system
Live teaching is the human support layer. Program Intelligence, MathPulse, readiness, retention, and assessment evidence remain the governed measurement layer.
Research & rationale
Why the system focuses on performance.
Explore the research-informed framework behind retrieval practice, spacing, working-memory demand, contextual variation, confidence calibration, reasonableness, progressive challenge, and performance under changing conditions.