Computational Thinking - Create a Maze Game in Python

A fun Python project covering computational thinking concepts as well as introductory programming topics with fully auto-graded assessments. Students will learn how to make a maze game in Python code language, utilizing a robust Python visualizer.

Computational Thinking - Create a Maze Game in Python

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Modules

  1. Program and Algorithms
  2. Thinking Logically
  3. Decomposition - Variables
  4. Decomposition - Events
  5. Algorithms - Conditional Statements
  6. Logical Thinking and Algorithms - Boolean Statements
  7. Logical Thinking and Algorithms - Loops
  8. Logical Thinking, Algorithms, and Decomposition - Functions
  9. Decomposition and Abstraction - Objects
  10. Decomposition and Algorithms - Arrays

Instructors

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Make Coding in Python Fun

Students learn the fundamental programming concepts while building a game. Each computational thinking in Python lesson is a step in the game's evolution, and students can play their game along the way.

Constructing Knowledge Through Coding

Computational Thinking - Create a Maze Game in Python emphasizes students applying and exploring the information presented. Students are presented with a Python code editor so they can put into action each concept they learn. In addition, the content provides code snippets to get students started making a maze game in Python.

Comprehension Checkpoints

For each lesson, students are asked to demonstrate their knowledge through an auto-graded assessment. The assessments provide students with feedback to guide them toward the correct answer.

Lowering the Barrier to Entry

Computational Thinking - Create a Maze Game in Python reflects the need for computer science education to meet students where they are. Like any specialized community, computer science has its own jargon. 

The formal teaching of computer science should not burden students with the assumption that they are fluent in this special language. Students start with a block-based language so they can focus on the logic of programming instead of syntax. Interactive diagrams help beginners to see the flow of the program.

Another way in which this content is more approachable is that it is using many small programs instead of one large program. Research shows that a variety of smaller problems increase student performance and reduce stress. Using many small programs leads to students spending a sufficient amount of time on their work, and they do not wait until the last moment to begin their work.

Take a quick peek inside...

  • Images help call out important details
  • Minimal text
  • Example code snippets that can be copied
  • Full Python IDE in the same browser window
  • Interactive output in a Python visualizer
  • Run Python maze code with a click of the button
  • Block-based syntax to ease students into programming
  • Interactive diagrams to make abstract ideas more approachable

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Take a quick peek inside...

  • Images help call out important details
  • Minimal text
  • Example code snippets that can be copied
  • Full IDE in the same browser window
  • Interactive output
  • Run code with a click of the button
  • Block-based syntax to ease students into programming
  • Interactive diagrams to make abstract ideas more approachable
maze-python3-1

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