How Our Students Built a Game with AI
In class, students transformed an idea into a working game and explored how AI can support creative thinking, coding, testing, and improvement.
Play the Game HereFrom idea to screen
Computer science becomes most meaningful when students can take what they have discussed in class and turn it into something real.
That was the goal of this lesson. Rather than stopping at theory, students worked on building a browser-based game and used AI as a tool to help shape ideas, generate code, test solutions, and improve the final result step by step.
More importantly, they discovered that AI only becomes powerful when it is guided by clear thinking, curiosity, and persistence. The students were the ones making the important decisions throughout the process.
Presenting ideas, explaining choices, and showing work in progress were all part of the lesson.
Learning AI the right way
A big part of this project was helping students understand how AI should actually be used in learning. Not as a shortcut, and not as a replacement for thinking, but as a tool that supports creativity, experimentation, and progress.
Students had to explain what they wanted clearly, review the output carefully, spot what was not working, and improve it. That process taught them something essential: even with advanced tools, strong results still depend on logic, patience, and good judgment.
This is the kind of modern computer science learning we want to encourage at Maximilian: practical, thoughtful, and connected to the tools shaping the world today.
The goal was not simply to make a game. The goal was to show students that with the right guidance, structure, and persistence, they can build something real.
What students experienced
| Turning an idea into a working digital project |
| Using AI as a creative and technical assistant |
| Understanding how testing and debugging shape good work |
| Improving confidence through iteration and feedback |
| Experiencing computer science as something creative, active, and practical |
Why this matters at Maximilian
In our Introduction to Computer Science class, we want students to go beyond memorizing terms. We want them to think clearly, solve problems, create confidently, and understand how modern tools can be used in smart and meaningful ways.
This project brought those goals together. Students explored programming concepts, used AI thoughtfully, and experienced the satisfaction of seeing their own work come alive on screen.
It was a strong reminder that the best learning happens when students do not just study ideas, but build with them.
