QUANTUM Study journey

Learning guide

How learning works

Why an activity is suggested, what points mean, and how practice, assessments and simulators fit together.

Methodology policy qm-learning-policy-2026-09-25.1 · Updated 26 September 2026

This page describes the versioned learning design. Some account-based features depend on backend rollout and may not yet be available in every session.

Learning activities

Reviewed sections introduce concepts and worked explanations. Reading and completion help you track progress, but do not by themselves show that you can retrieve and apply an idea later.

Practice and guided review give you another chance to retrieve an idea. If you miss an answer or ask for help, the next step should be useful feedback, a hint or a focused retry—not a penalty. A correct answer with low confidence may still be worth reviewing.

Chapter assessments sample reviewed material and link questions to their source sections. They are separate from the Daily Challenge. One score is only one signal, not proof of mastery. Open chapter assessments.

Daily Challenge is an optional short retrieval activity about reviewed material you have studied. It has no missed-day penalty and no extra daily completion points. Prepare a Daily Challenge.

Simulators let you make a prediction, manipulate a model, compare the outcome and reflect. Opening one is activity; a guided cycle is richer evidence, but neither a single opening nor a single cycle proves mastery.

Why this activity?

When account-based learning features are available, suggestions can use your own eligible reviewed content and learning evidence: previous responses, help requests, confidence when collected, prerequisites, simulator reflections and how long it has been since retrieval.

  • A recent difficulty or missing prerequisite can suggest guided review and a focused retry.
  • Success may lead to a later retrieval or a different representation, so practice is not only repetition of the same question.
  • Suggestions aim to balance targeted review with spacing and interleaving; they are not a diagnosis or a fixed judgment about you.

You remain in control: choose another available reviewed activity whenever you prefer. Points and badges should never gate access to an explanation or learning content.

See your Study journey and suggested next action.

What counts as learning?

The app distinguishes activity (what you opened), performance (how you answered on one attempt) and evidence consistent with learning (successful retrieval over time, without help, and in more than one representation). Evidence builds gradually. No single score, streak, badge or simulator event is a diagnosis or proof of mastery.

When an answer is incorrect, feedback should help explain the relevant idea and offer a next step. Hints should be graduated—from directing your attention to more specific support—while leaving room for you to reason. An answer after seeing its solution is not unaided retrieval.

Points, badges and streaks

Points and badges are motivational feedback for eligible learning actions. They are not grades, money, a measure of intelligence or proof of understanding. Repeated or automated activity should not create unlimited rewards.

Opening a simulator alone does not award points, and the Daily Challenge has no extra daily completion bonus. If your points are unavailable or being reconciled, the app should tell you rather than inventing a total or silently resetting your history. View your private Study journey.

What counts as simulator learning?

A guided cycle asks you to predict, make meaningful changes to the model, compare the outcome and reflect. This creates more useful learning evidence than simply opening a simulator. Even a completed cycle is not instant mastery and does not directly award points; it can inform later retrieval and review.

Explore another available simulator or return to the related reviewed section at any time. Browse simulators.

AI and your data

Where an AI feature is offered, it may help organize or suggest eligible reviewed activities. It does not replace editorial review, independently certify mastery or override reviewed-content and safety rules. An AI-generated draft is not a reviewed exercise until it passes the applicable review process. You can report a questionable question, explanation or suggestion.

When account-based features are enabled, your own activity records—such as section progress, responses, assessment attempts, help use, confidence when supplied, simulator stages and reward records—may be used to show a private Study journey and inform suggestions. These records are not a public leaderboard. Sign-in is needed for personal persistence; optional email updates are a separate preference.

Privacy and communication settings. Read the public Privacy notice and Terms of Use. Never include passwords, access tokens or sensitive personal information in a support report.

Optional learning email

Learning email is off until you actively enable it. Eligible messages refer only to reviewed material and explain why a review was suggested. They do not threaten point, streak, rank or mastery loss and do not create an artificial deadline.

The server limits delivery to at most one message per local day and two in any seven-day window. Quiet hours are 21:00–07:00 in your saved time zone; if the time zone is unknown, no message is sent. You can pause the channel in Privacy and communication settings; compatible email clients also expose the standards-based one-click unsubscribe action. Delivery failures never block the app.

Research and limitations

These principles are informed by research, but results vary by learners, courses, activities and timescales. The studies below do not establish that QUANTUM itself is effective. Engagement is not the same as learning.

  1. Retrieval practice can improve delayed retention compared with repeated study, but the result depends on when retention is measured. Roediger & Karpicke (2006).
  2. A meta-analysis found robust spacing effects across many experiments, while useful intervals depended on the intended retention period. Cepeda et al. (2006).
  3. Two semester-long randomized studies found that badges and leaderboards did not improve academic performance; rewards should not be mistaken for learning. Balci et al. (2022).
  4. A small physics gamification study reported engagement-related outcomes but does not establish a reliable quiz-performance benefit or generalize to QUANTUM. Richter & Kickmeier-Rust (2025).
  5. A classroom gamification study reported learner perceptions, not a direct measure of physics learning. Gaurina et al. (2025).

Evaluation should separately measure learning, behavior, user experience, equity and safety. Activity or engagement alone should not be used as an effectiveness claim.

Report a problem

Report an incorrect exercise, inaccessible content, a failed save or an unhelpful recommendation through QUANTUM Support. Include the page or section title and what happened, but do not share another learner's information or your credentials.

This guide follows policy qm-learning-policy-2026-09-25.1, updated 26 September 2026. Product behavior and rollout status may change through versioned updates; research principles are not product thresholds. Methodology and references.