Gamification in Learning

By Brian Tr · Updated Oct 7, 2026

Gamification in learning means borrowing elements from games, such as points, badges, levels, streaks and leaderboards, and adding them to an activity that isn't a game. The activity stays what it was: a course, a quiz, a compliance module, a language drill. The game elements sit on top and are meant to change how people engage with it.

The idea is popular with product teams because the mechanics are cheap to add and easy to demo. The research is more mixed than the pitch. Gamification tends to produce small positive effects on average, with wide variation depending on the context and the learner. And the mechanics that look harmless, like a leaderboard or a reward for finishing, can reduce motivation for some people. This article covers the definition, the main elements, what meta-analyses find, why self-determination theory is the most useful lens, and what that means for design.

Key Facts

• The standard definition comes from Deterding and colleagues (2011): gamification is "the use of game design elements in non-game contexts" (Deterding et al., 2011).
• A meta-analysis of 38 publications reporting 40 experiments found small positive effects of gamification on cognitive learning outcomes (g = 0.49), motivational outcomes (g = 0.36) and behavioral outcomes (g = 0.25) (Sailer and Homner, 2020).
• An earlier review of 24 empirical studies concluded that gamification gives positive effects, but that the effects depend heavily on the context and on the users (Hamari, Koivisto and Sarsa, 2014).
• Points, leaderboards and badges were the most commonly tested elements in that review, and the authors flagged short study timeframes as a limitation because novelty may skew results.
• A meta-analysis of 128 experiments found that expected tangible rewards significantly undermined intrinsic motivation, while positive feedback enhanced it (Deci, Koestner and Ryan, 1999).
• Self-determination theory proposes three innate psychological needs, competence, autonomy and relatedness, which when satisfied support self-motivation (Ryan and Deci, 2000).

What gamification is, and what it isn't

Deterding and colleagues proposed their definition in 2011 to settle a muddle. The term had been applied to everything from loyalty programs to full-blown video games. Their definition has two parts that matter. First, the elements are game design elements, meaning things characteristic of games rather than of any software. Second, they're used in a non-game context, meaning the product's main purpose isn't play (Deterding et al., 2011).

That separates gamification from two neighbors that people often confuse it with.

In practice the boundary blurs. A course with a strong story and scored challenges sits somewhere between gamification and game-based learning. But the distinction helps when evaluating evidence. A study of a full educational game says little about whether a points-and-badges layer helps, and the reverse is also true. Hamari and colleagues made the same point from another angle: the field has defined gamification in different ways, and from those definitions "there is room for a large variety of studies" that could be framed as gamification (Hamari, Koivisto and Sarsa, 2014). When someone quotes a gamification result, check which kind of intervention was tested.

The common elements

Most gamified learning products draw from the same small kit.

Points. A numeric score for completing activities or answering correctly. Points give immediate feedback and make progress countable, but they're also the easiest element to turn into a pure reward chase.

Badges. Visual markers for achievements, such as finishing a module or reaching a skill level. Badges can signal mastery, and they can also be handed out so freely that they stop meaning anything.

Levels and progress bars. A visible sense of moving through a structure. These show where the learner stands and what's left, which is closer to feedback than to a reward.

Leaderboards. A ranked list comparing learners. This is the most socially loaded element and the one with the clearest downside risks, covered below.

Streaks. A count of consecutive days (or sessions) with activity. Language-learning and habit apps popularized the form: do something every day and the counter climbs, miss a day and it resets. Streaks aim at habit formation, and they work through a mix of routine-building and a reluctance to lose accumulated progress.

Narrative and theme. A story, characters or a fictional frame wrapped around the learning, for example a quest in which each lesson unlocks the next chapter. This is the element closest to game-based learning, and as the next section shows, it appears to matter.

Challenges and time limits. Quizzes against a clock, team challenges, weekly goals. These add structure and urgency.

Notice that these elements do different jobs. Progress bars and points can give feedback. Badges can signal competence. Leaderboards bring in social comparison. Streaks build routine. Narrative adds meaning. Lumping them together as "gamification" hides the fact that each one pulls on motivation differently.

What the research finds

The 2014 review

Hamari, Koivisto and Sarsa reviewed 24 peer-reviewed empirical studies of gamification and concluded that it provides positive effects, with the strength of those effects "greatly dependent" on the context of implementation and on the users. The most commonly tested elements were points, leaderboards and badges. The authors also pointed to weaknesses in the studies they reviewed, including very short experiment timeframes where novelty might have skewed the results. Several studies hinted that gains might fade over time (Hamari, Koivisto and Sarsa, 2014).

They also noted something useful for product teams: users behave differently. In studies of a gamified internal social network, some users wanted to sit at the top of the leaderboard while others were satisfied just to appear on it. One design doesn't fit everyone.

The 2020 meta-analysis

Sailer and Homner pooled controlled studies of gamified learning in Educational Psychology Review. Their sample was 38 publications reporting 40 experiments. They found small but significant positive effects on three families of outcomes (Sailer and Homner, 2020):

Two readings of that table are worth keeping side by side. The effects are positive, and they're small by conventional standards, so gamification isn't a replacement for good instruction. And the three outcomes aren't the same thing. The largest effect is on cognitive learning, while the smallest is on behavior, which is the outcome most closely tied to "engagement" claims.

The meta-analysis also tested moderators, the design and context factors that change the size of the effect. For behavioral outcomes, two stood out. Competitive-collaborative designs outperformed designs with no social interaction, and the inclusion of game fiction, a narrative frame, was associated with a significantly larger effect (Sailer and Homner, 2020). That doesn't mean leaderboards are good. It means social structure and story seemed to carry more of the benefit than the bare scoring mechanics did.

What the studies can't tell you

A few limits apply to all of this.

• Results from school and university samples may not carry over to adult workplace learners.
• Effects were pooled across very different interventions. An average of 0.36 says little about whether your badge system will work.
• Short studies can't show whether effects last. The 2014 review flagged that problem, and it hasn't gone away.

The sensible reading is that gamification can help when it's designed with a purpose, and that evidence for any specific mechanic in any specific product is something you have to gather yourself.

Self-determination theory: why it works and why it fails

When researchers want to explain why gamification helps in one setting and backfires in another, they most often reach for self-determination theory (SDT), developed by Edward Deci and Richard Ryan. The theory proposes three innate psychological needs: competence, autonomy and relatedness. When social conditions support these needs, people show more self-motivation. When the conditions thwart them, motivation and well-being drop (Ryan and Deci, 2000).

Mapping the common game elements onto those needs gives a practical test for each design choice.

The framework is more useful than a list of mechanics because it asks one question of any element: does this make the learner feel more capable, more in control and more connected, or less? A badge that confirms a real skill supports competence. A badge that must be collected to pass the course takes away choice.

The risk: undermining motivation

The most important caution in gamification research comes from a separate body of work on rewards. In a classic meta-analysis in Psychological Bulletin, Deci, Koestner and Ryan (1999) examined 128 experiments on how extrinsic rewards affect intrinsic motivation, the drive to do something because the activity itself is interesting. The results showed that tangible rewards that were expected, such as a promised prize for doing a task, significantly undermined free-choice intrinsic motivation. This held for rewards tied to engaging in a task (d = -0.40), completing it (d = -0.36) and performing well at it (d = -0.28) (Deci, Koestner and Ryan, 1999).

Positive feedback pointed the other way. It enhanced both free-choice behavior (d = 0.33) and self-reported interest (d = 0.31). The difference between the two tells you how to read the finding: a reward experienced as controlling tends to erode interest, while information that tells a person they're doing well tends to build it.

This is sometimes called the overjustification effect. Someone who enjoys an activity, then gets paid or scored for it, can start to treat it as something done for the reward. When the reward stops, so does the interest.

Two cautions keep this from being over-applied to gamification:

1. The studies in that meta-analysis involved tangible, expected rewards, and many of the participants were children or college students. Points and badges are symbolic, and how they're perceived depends on the design. A badge can be received as informational feedback or as a controlling incentive.
2. The effect is about intrinsic motivation. If the learner starts with little interest, as in many mandatory corporate courses, there may be less intrinsic motivation to undermine, and extrinsic structure may be a reasonable starting point. Even so, a design that only works while rewards flow tends to fade when they stop.

For a product team, the takeaway is to prefer elements that give information about progress and mastery over elements that merely pay people for showing up.

Leaderboards and their downsides

Leaderboards deserve their own section because they're the element most often added and the one most likely to cause harm.

They help the people near the top and can discourage everyone else. A ranking tells each learner where they stand against others. For someone in the top few spots, that can motivate. For someone far down the list, it can signal that the effort is pointless. That's a threat to competence.

They make learning a contest. Social comparison shifts attention from "am I getting better?" to "am I beating them?" Learners may optimize for the score rather than the understanding, and some will game the system.

They affect different people differently. The 2014 review found that users split into patterns, with some chasing the top spot and others content to be listed at all (Hamari, Koivisto and Sarsa, 2014).

They can feel coercive at work. Public ranking of employees on training activity can feel like surveillance, particularly when completion data is visible to managers. That undercuts autonomy.

Softer alternatives exist. Team-based leaderboards spread the comparison across groups. Personal-best tracking compares a learner to their own history. "Near me" views show the few people just above and below you rather than the full list. And cooperative goals, where the whole team reaches a milestone together, line up better with the finding that collaborative-competitive designs did better on behavioral outcomes (Sailer and Homner, 2020).

Design guidance

Pulling the research together, a short set of principles follows.

Start with the learning goal, then pick mechanics. If the problem is that learners forget material, a spaced practice schedule matters more than a badge. If the problem is that they don't come back, a streak or a social element might help. Gamification should support a learning design, as covered in instructional design basics, not replace one.

Make rewards informational. A point or badge should tell the learner something true about their progress or skill. Tie badges to demonstrated performance, such as passing a scenario or hitting a quiz threshold, rather than to logging in.

Give learners choices. Optional challenges, a choice of path and the ability to hide the leaderboard all protect autonomy. Avoid making badge collection a course requirement.

Add story and social structure before adding more points. The moderator findings suggest narrative and collaboration carry weight. A team goal or a short story frame is often a better investment than a deeper points system.

Pair it with proven learning methods. Gamification works well as a delivery wrapper for practices with strong evidence. A streak that nudges a learner back to a short daily review is helping them do spaced retrieval, which is discussed in spaced repetition and the forgetting curve. Short units are the natural container, as covered in microlearning.

Plan for the novelty drop. Early excitement fades. Design the long game: refresh the challenges, vary the rewards, and make sure the underlying content is worth coming back to.

Test with your own users. Run an A/B test with and without the element, and measure the outcome you care about. Look at more than activity. A rise in logins isn't a rise in learning, and learner engagement metrics separates the signals that matter from vanity counts.

What it means for EdTech companies

For companies building or selling learning products, a few practical points follow.

Gamification is a retention lever, not a product. Done well it can lift return visits and course progress, which feeds course completion rates. But if the content isn't worth finishing, the game layer only postpones the exit.

It also needs honest claims. Buyers in corporate learning want evidence that training changed behavior or results, and a "completion up" chart won't satisfy them on its own. The meta-analytic effects above are small to moderate, and a claim that goes well beyond them will draw scrutiny. See proving training ROI for how buyers test such claims.

Community features can deliver relatedness without leaderboard side effects. Study groups, peer feedback and cohort discussion do some of what competition is supposed to do, and the learning communities article covers how they work. A blended learning program can also use live sessions for the social side and digital game mechanics for the practice side.

Related reading

• Spaced Repetition and the Forgetting Curve
• Learner Engagement Metrics
• Course Completion Rates
• Microlearning
• Learning Communities
• Instructional Design Basics