Metadata
Technology & Computer Science Grade 9-12 Apply Medium
Metadata
  • Subject

    Technology & Computer Science

  • Education level

    Grade 9-12

  • Cognitive goals

    Apply

  • Difficulty estimate

    Medium

  • Tags

    sorting, algorithms, complexity, stability, datasets, optimization

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess students' ability to choose and justify appropriate sorting algorithms for varied dataset characteristics—size, presortedness, key distribution, duplicate frequency, and memory constraints. Include tasks to identify suitable algorithms (e.g., insertion, quicksort, mergesort, heapsort, counting/radix, external sorts), predict time/space complexity and stability, and explain trade-offs and optimizations for short real-world scenarios requiring algorithm selection and justification.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.