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Create your own teaching materials with AI
With CodeRoom’s AI-powered content creation, you can automatically generate new teaching materials based on professional topic formulations. Starting from a brief description – for example, introducing a programming concept or applying it in a real-world scenario – a structured prompt is generated that is tailored to programming language, skill level, and didactic context.
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Overview of presented contents
Below you will find a selection of the most popular teaching modules and materials that can be directly used in computer science class. The content is modularly structured and supports step-by-step competence development – from basic programming concepts to complex applications and modeling tasks.
Reihe
Teacher AI Tutorial Pack [Reihe]
Course for Teachers on Practical Use of AI in the Classroom, from Prompt Optimization to AI-Resistant Tasks.
Vorlage
UML für Fortgeschrittene – abstrakte Strukturen und komplexe Beziehungen [Vorlage]
Lerne Vererbung: Modelle, Methoden, Bus mit Fahrgästen, abstrakte Klassen.
Vorlage
Flappy Farbenflug [Vorlage]
Die Lernenden entwickeln in 12 aufeinander aufbauenden Schritten ein einfaches Flappy-Bird-artiges Spiel mit frameCraft. Dabei entstehen Spielfenster, Vogel, Eingabe, Schwerkraft, Hindernisse, Kollisionen, Punkte, steigende Schwierigkeit, Game Over und Neustart.
Data Analytics for Business – Company Key Figures with Python [Template]
Analysis and Visualization of Company Key Figures with Python.
From Stock Exchange to Bible: AI that thinks along [Template]
Anomaly detection, stock market forecasts & AI text generation
City Traffic and Pedestrian Simulation [Content]
Prototype-First Project for City Traffic and Pedestrian Simulation with HTML/CSS/JS, State Logic, Measurement Values, and Step-by-Step AI-Assisted Expansion.
The Complete Frogger: From Scene to Polish [Template]
Learn frameCraft with Frogger: Movement, Collisions, HUD, and GFX.
Coding Lab: Interactive Simulations Build [Template]
Develop Interactive Web Projects with HTML/CSS/JS.
AI Game Lab BuildFromZero: Classic Games from Scratch [Template]
Building Projects for Classic Games with frameCraft: Develop well-known game ideas like Snake, Pac-Man, Bomberman light, Space Invaders, and Tower Defense step by step from a small starting point.
Frogger: Autos datengetrieben erzeugen [Inhalt]
Automated enemy setup using lane_data, name schema, and nested loops for moving multiple cars.
Additive Color Mixing (RGB) [Content]
Interactive RGB Slider in Pygame: additive color mixing and display of color values as well as hex code.
Numerical Integration & Differentiation in Applications (5 Modules) [Template]
Numerical Integration and Differentiation with Python.
Monte-Carlo Simulation: From Sensor Noise to Portfolio Risk [Template]
Simulates noise measurements, Monte Carlo methods, and risk analysis with Python.
Frogger: Screen Control and Screen Boundaries [Content]
Screen control with keyboard actions, rule structure, and limiting the game figure to the screen area.
Programming Breakout [Template]
Breakout game development with frameCraft: Basic structure, movement, collisions, UI, and game logic.
Foundations [Series]
Einführung in Java-Programmierung: Grundlagen, Bedingungen, Methoden, Schleifen, Arrays und OOP.
Function Plotter Sandbox [Content]
Interactive Function Plotter (Sandbox) with representation of a function graph and pan-and-zoom control via mouse and keyboard.
Cell Defense – Conway against the Invasion [Content]
Cell automaton project with Conway rules, cell patterns, energy and enemy logic for step-by-step extension of a functional prototype.
Listen sortieren (The Ball Challenge) [Content]
Copy lists, sort by name, and place objects correctly.
Function Plotter – Sandbox and Step-by-Step Setup [Template]
Interaktiver Funktionsplotter mit Zoom, Pan und Achsenzeichnung.