The Gamification Trap
Streaks, badges, and XP feel like learning. They are not. A look at why gamified apps optimise for engagement over capability, and what durable learning actually requires.
Few years ago I got curious about learning German after discovering it is a sibling language of Sanskrit. I joined a weekend class with a private tutor in Pune along with a couple of friends. But that barely lasted four weeks as the tutor left for Germany. All I could learn was some basic vocabulary and a few sentences like “ich spreche nicht gut Deutsch” (“I don’t speak German very well”).
Then I moved to Delhi for work. I was living alone and had free time after office. So I picked up a famous language learning app, you know that one, for learning German. It was like playing a game. Each day learning new words, climbing XP, accumulating badges, clocking long daily streaks and unlocking new levels. If I missed a day, a green bird showed up in my inbox.
The sense of achievement after every session was real. I started feeling like an expert. I even listed German as a language in my Facebook bio.
A few months passed by, and work related travel picked up. The streak broke frequently, and so did my habit. Eventually I stopped using the app. Months later, on a flight, a native German speaker was sitting next to me. I could barely speak a few sentences with him. Most of it was what I learned in that four week live tuition.
That was my first experience of the gamification trap: when progress inside the app feels more real than capability outside the app.
During Covid lockdowns every educational video on YouTube was sponsored by an interactive learning app, one that is synonymous with “clever”. Algebra had been my weakest spot since school and I always wanted to fix it. And this app looked exciting. So I signed up.
Same experience again. Daily sessions, XP, badges, streaks, a genuine feeling of progress. The lessons were smooth, the interface was highly interactive. I was not bored one bit.
Then the lockdowns ended, I got busy at work and stopped learning. A few months later I was at a friend’s place. His son was preparing for 10th board exams. Thinking I would show off my recent algebra expertise, I asked him to bring some of his math test papers.
To my shock, I could not solve most of the problems despite having learned those topics recently. Those problems looked unfamiliar.
The app had cleared my concepts very well but somehow it did not develop real problem solving skill.
I thought I was just bad at learning. Then I asked around and almost everyone I spoke to who had used these apps had some version of the same story. Lots of progress on the dashboard, very little confidence when the same knowledge had to be applied in real world.
Those four weeks of weekend tuition in Pune, with a real teacher and real classmates, left more behind than months on the app. I still remember most of what I learned in those few sessions.
This does not mean apps are bad and teachers are always better. That would be too easy a conclusion. The real problem is learning apps are more optimised for engagement and less for learning.
These apps are often designed around metrics that investors and growth teams care about: daily active users (DAU/MAU), streak retention, session length, completion rates. These are useful business metrics. But they are not the same as learning outcomes.
When a metric becomes a target, it ceases to be a good measure. - Goodhart’s Law
Once engagement becomes the target, the product naturally starts rewarding the visible behaviour: logging in, finishing a lesson, maintaining a streak, collecting points. The race is for your screen time. But durable learning is built through less glamorous things: recall after delay, solving unfamiliar problems, making mistakes, receiving feedback, explaining an idea to someone else, and applying it in a new context.
Gamification is good at helping a learner start. It can make the first step less intimidating. It can make practice feel lighter. I am not against that.
But in these apps gamification is the main experience. I was genuinely fascinated by German because of its Sanskrit connection. The app replaced that curiosity with a streak and when the streak broke, the motivation broke with it.
This is what i mean by the gamification trap:
As a learner you are not chasing mastery anymore, you are chasing rewards of activity.
Just before beginning my diploma at IIT Madras, a professor recommended a course called Learning How to Learn by Dr Barbara Oakley. It introduced me to spaced repetition: revisiting material and testing yourself at increasing intervals, so knowledge moves from short term exposure into long term retention.
I applied it seriously through the program. I finished with a 9.7 CGPA, among the toppers of the batch. The same person who could not solve basic algebra in school was now handling high level statistics and machine learning algorithms in his 30s. Most of it I still remember today.
Spaced repetition was one part of it. The online program also had depth, rigorous assessments, a serious cohort, difficult assignments, deadlines, and content that demanded real thinking. The method mattered, but so did everything around it.
I realised that I was not bad at learning, I was only part of a system that made me feel good without making me struggle enough.
Deci and Ryan’s Self-Determination Theory shows how external rewards can weaken intrinsic motivation when the reward becomes the reason to continue. Robert Bjork called it desirable difficulty: the kind of learning that feels effortful in the moment but lasts longer.
Anyone who has learned something deeply knows this feeling. Real learning is not always fun in the app sense of fun. It has confusion, friction, wrong attempts, slow improvement, and moments where the brain wants to escape. A learner tolerates that struggle when the goal is real and specific.
When I build something for the kids, the AI generation, this is the tension I want to keep in mind. It is tempting to design only for easy wins, quick feedback, and an immediate sense of achievement. Those things have their place. But they cannot become the whole learning experience.
If AI quickly gives answers and makes it easier to generate content, then the real challenge is to design for depth: better questions, stronger recall, improved retention, and skills that survive outside the tool. The goal should not be to make learners feel smart for a few minutes, but to build lasting capability while keeping curiosity alive.
— Nehal