Blended Learning Retention Simulator

Course schedule (per week)

Online self-paced hours 3.0 h

In-person session hours 3.0 h

Retrieval-practice quizzes 2 / wk

Course length 12 wk

Live cohort state

Day / Week

0 / 0

Class retention

100%

Memory stability S

— d

Half-life without review

— d

Retention at course end

—

Sessions so far

0 / 0

How it works

Each simulated day, memory retention follows the Ebbinghaus forgetting curve, decaying toward zero at a rate set by a stability constant S (in days):

R(t) = exp(-t / S)

Every learning event nudges the model, matching well-established spacing and testing effects from memory research:

Online micro-session (daily):
  S += k_online * sqrt(hours/day)     (small, frequent gain)
In-person session (2x/week):
  S += k_person * sqrt(session hrs)   (larger gain per hour)
  R -> R + (1-R) * 0.9                (near-full refresh)
Retrieval quiz:
  S += k_quiz * (1 - R)               (bigger gain when recall
                                        was effortful — the
                                        "testing effect")
  R -> R + (1-R) * 0.5

Frequent low-friction online practice builds spacing (larger gaps between reviews strengthen S faster per the spacing effect), while in-person sessions deliver a bigger single boost with better feedback. Quizzes reward difficulty: testing a nearly-forgotten fact strengthens memory more than testing a fresh one. The 3D scene plots the resulting sawtooth retention curve across the whole course — decay between events, a jump at each session — and a cohort of "student" particles hover at the class-average retention height, colour-coded from red (forgotten) to green (retained).

Try Online-only vs. In-person-only vs. Balanced blend to see how the schedule — not just total hours — shapes long-term retention.

Online micro-session In-person session Retrieval quiz Retention curve

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