Algorithm Thinking

The game presents real-world style problems that need to be solved algorithmically. You're given a set of logic blocks - each representing a step in the solution - and must arrange them in the correct order to form a working algorithm.

Problems range from simple (sorting a list of numbers) to complex (implementing search algorithms or solving optimization problems). The game progressively introduces new concepts like:

• Sequencing: Understanding the order in which steps must execute • Selection: Making decisions based on conditions (if-then-else logic) • Iteration: Repeating steps until a condition is met (loops) • Recursion: Solving problems by breaking them into smaller similar problems

Unlike coding exercises where syntax errors can be frustrating, this game lets you focus purely on logic. The visual block-based approach means you can concentrate on "what" to do rather than "how" to write it.

This game is grounded in Computer Science education research:

Computational Thinking Framework: Based on Jeannette Wing's seminal work (2006) on computational thinking as a fundamental skill for everyone, not just computer scientists.

Bloom's Taxonomy: The progressive difficulty aligns with Bloom's cognitive levels - from understanding basic sequences to creating novel algorithms.

Worked Example Effect: Research shows that studying worked examples (seeing correct algorithm constructions) accelerates learning more than pure problem-solving.

Desirable Difficulties: The game introduces carefully calibrated difficulty increases that promote long-term retention over easy short-term success.