Breaking down problems into clear, sequential steps and recognizing patterns to find efficient solutions. A universal thinking skill for structuring any complex task into actionable procedures.
Algorithmic Thinking is the ability to decompose problems into well-defined steps, identify recurring patterns, and design systematic procedures that produce reliable outcomes. It encompasses sequencing, pattern recognition, abstraction, and efficiency evaluation. Not about programming or coding, it is a domain-agnostic skill applicable to planning a trip, organizing a workflow, diagnosing a malfunction, or designing a policy -- from following simple instructions to creating reusable methodologies.
You can execute a clearly written sequence of steps from beginning to end. You understand that rearranging steps may produce a different result and can identify when a step is missing from a set of instructions. You follow recipes, assembly manuals, or checklists without skipping steps, though you rely on someone else to create those instructions for you.
Seminal paper defining computational thinking as a universally applicable skill encompassing decomposition, pattern recognition, abstraction, and algorithm design.
Classic problem-solving methodology (understand, plan, carry out, look back) that underpins structured procedural thinking from beginner to advanced levels.
5-stage model (novice to expert) mapping rule-dependent execution to intuitive mastery, providing theoretical basis for the progression from instruction-following to paradigm creation.
