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Evidence of Educative Game Design

A familiar claim is made for this field: that games make people learn better. It does not survive contact with the evidence. The honest version is narrower, and considerably more useful: a well-designed game produces measurable learning gains, and a poorly designed one produces very little. The difference is the design, not the medium.

By Ilija Bojović, Founder / Lead game designer · 16 August 2026

This is the hub of a five-part series. It gives the whole argument in about two minutes. Each section below links to a longer piece that goes into the evidence properly, with its own references.

The gist

Games teach modestly on average and strongly when well designed. The spread between those two is the entire finding this series is built on, and it is good news: it means the outcome is a matter of decisions a designer actually makes, not a property of the medium.

What the numbers say

FindingEffectStatus
Educational games vs. conventional teaching~0.3 — a modest, real edgeVerified
Simulation-based training0.85–1.06 — roughly four in five learners do betterVerified
Motivation effect of gamesNone significantVerified
Structured debriefing after an exercise+20 to 25% performanceVerified
Measured effect sizes for educational games and for simulation-based training Three measured findings plotted on the effect-size scale. Educational games in general measure about 0.33: just over half of learners do better than under conventional teaching. Simulation-based training measures 0.85 overall, rising to 1.06 for technical skills: roughly four in five learners do better. The scale beneath marks 0.2 as small (just over half do better), 0.5 as moderate (roughly two in three), and 0.8 as large (roughly four in five). Educational games, in general Simulation-based training Simulation training, technical skills 0.33 0.85 1.06 0.2 small 0.5 moderate 0.8 large just over half do better about 2 in 3 do better about 4 in 5 do better
Reading the scale: crossing the 0.8 line means roughly four in five learners did better than under the old method; crossing 0.5 means roughly two in three. The gap between the first bar and the other two is what this series is about, and it is a gap between designs, not between technologies. The lower two figures come from the same review, so they are directly comparable with each other. Read the full case in How large is the effect, really?

The seven pillars

Everything the evidence supports reduces to seven design decisions.

The learning is the progression mechanic

What a learner must do to advance is the single highest-leverage decision in the whole design. Argued in Four principles that make a game teach.

Feedback carries the loop

The content of feedback, not its presence, decides whether it works. Same article as above, and connects directly to what happens after the game, since a debrief is feedback at a larger scale.

Difficulty must be desirable, and matched to the learner

Difficulty that slows acquisition can improve retention. Difficulty that defeats the learner helps nobody. Also in Four principles that make a game teach.

Practice must be distributed

Of all common study techniques, only two are reliably effective: testing yourself, and spacing practice over time. Games do both natively. Same article again.

Format follows the task

Neither hardware nor game elements predict whether training works. Task fit does. Set out in full, format by format, in Choosing a format for the task.

Discussion consolidates it

Structured debriefing adds a substantial performance gain on its own. Covered in What happens after the game.

Testing decides, during development

Playtesting is formative evaluation under a different name, and it has to run while the design can still change. The full case is in How to tell whether a game teaches.

What the evidence does not support

Worth stating plainly, because these are the claims that get people caught.

Where this leaves us

Games teach under conditions that can be named, tested, and built for on purpose. None of them follow from the decision to make a game. All of them follow from the design.

Ilija Bojović is Cognitika's founder and lead game designer, with nearly five years designing and leading commercial mobile games. This series draws on that practice and on the published research cited throughout. More about the team.

References

The full list for this series. Individual articles cite only what they use; this page carries all of it.

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