Computer Science · Algorithms & Complexity
Mr. Lee is teaching sorting algorithms to his students. During a quick assessment, he notices that most students assume Insertion Sort is the fastest algorithm simply because its code is short and easy to understand. They struggle to connect the simplicity of code with actual performance and fail to grasp the concept of time complexity in a practical context. While they can implement the algorithm correctly, they cannot evaluate efficiency for larger datasets. Mr. Lee now wants to create activities that help students link algorithmic logic with performance analysis effectively. How should Mr. Lee best address this fundamental algorithmic misconception?
Verified Solution4 OptionsUpdated: October 2026👁️1 View
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- 1Require students to memorize the Big O notation chart for every algorithm
- 2Use a visualizer tool (like sorting.at) to run Insertion Sort and Merge Sort on a large, 1000-element array side-by-side✓
- 3Assign a very small array (5 elements) for students to trace all algorithms manually
- 4Show only the mathematical proofs
Correct answer
Use a visualizer tool (like sorting.at) to run Insertion Sort and Merge Sort on a large, 1000-element array side-by-side
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