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Debug the Digital Maze: Algorithms for 8th Grade Solvers Quiz (Medium) Feuille de Travail • Téléchargement PDF Gratuit avec Clé de Correction

Calculate time complexity and apply divide-and-conquer strategies used by software engineers to optimize search systems and network routing.

Vue d'ensemble pédagogique

This quiz assesses student understanding of foundational computer science concepts including algorithmic efficiency, problem decomposition, and debugging strategies. It employs a scaffolded approach by connecting abstract computational logic to real-world software engineering scenarios like network routing and social media friend recommendations. Ideal for an introductory unit on computational thinking, this resource aligns with CSTA standards for middle school computer science by evaluating students' ability to refine and verify complex algorithms.

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Outil: Quiz à Choix Multiples
Sujet: Arts & Autres
Catégorie: Informatique et technologies
Note: 8th Note
Difficulté: Moyen
Sujet: Algorithmes et résolution de problèmes
Langue: 🇬🇧 English
Articles: 10
Clé de Correction: Oui
Indices: Non
Créé: Feb 14, 2026

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Ce que les étudiants vont apprendre

  • Analyze the efficiency of search algorithms by comparing linear search and divide-and-conquer strategies.
  • Apply problem decomposition techniques to break down complex logistical tasks into manageable sub-problems.
  • Identify essential algorithmic components such as base cases, recursion, and time complexity within digital systems.

All 10 Questions

  1. When designing a system for a logistics company to find the shortest delivery route between twenty cities, which algorithmic approach is most effective for breaking the large map into smaller sections?
    A) Linear sequence
    B) Problem decomposition
    C) Hard-coding paths
    D) Data encapsulation
  2. A search algorithm that checks every single item in an unsorted list one by one is considered more efficient than a search that eliminates half the data at each step.
    A) True
    B) False
  3. In the context of algorithm efficiency, the measure of how the running time or memory usage increases as the input size grows is known as ________.
    A) Time Complexity
    B) Variable Assignment
    C) Syntax Validation
    D) Code Documentation
Show all 10 questions
  1. If an engineer is 'dry running' a new sorting algorithm by hand with a small sample set of data before writing code, which stage of problem-solving are they practicing?
    A) Hardware integration
    B) UI/UX design
    C) Algorithm verification
    D) Marketing analysis
  2. A social media platform needs to recommend friends. They use an algorithm that looks at 'friends of friends.' If the algorithm fails to stop and loops forever, what is likely missing?
    A) A base case or termination condition
    B) A faster internet connection
    C) More user data
    D) Higher screen resolution
  3. Heuristics are 'rules of thumb' that help find a 'good enough' solution to a problem quickly when an exact optimal solution would take too much time to calculate.
    A) True
    B) False
  4. When a programmer finds a logical error that causes a weather app to report 'Sunny' during a blizzard, the process of finding and fixing this error is called ________.
    A) Compiling
    B) Debugging
    C) Encrypted
    D) Streaming
  5. You are building a game where an NPC (non-player character) must find the player in a 3D building. Which concept are you using when you define the specific steps the NPC takes to turn corners and open doors?
    A) Database indexing
    B) Algorithm design
    C) Pixel shading
    D) Social engineering
  6. Pseudocode is a high-level description of an algorithm that uses the structural conventions of programming languages but is intended for human reading rather than machine execution.
    A) True
    B) False
  7. An algorithm that solves a problem by breaking it into identical sub-problems and calling itself to solve them is using a technique called ________.
    A) Binary Conversion
    B) Recursion
    C) Concatentation
    D) Multi-tasking

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Grade 8 Computer ScienceComputational ThinkingAlgorithm DesignMiddle School TechProblem Solving QuizFormative AssessmentCoding Fundamentals
This middle school computer science assessment focuses on the theoretical underpinnings of algorithm design and verification. The quiz features ten items spanning multiple-choice, true-false, and fill-in-the-blank formats, covering topics such as Big O notation, time complexity, recursion, and the role of heuristics. By contextualizing questions within software engineering scenarios like logistics routing and game development navigation, the material challenges students to understand the practical application of problem decomposition and the debugging lifecycle without requiring specific programming language syntax.

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Foire Aux Questions

Yes, this Computer Science Quiz is an excellent choice for a substitute teacher because the clear explanations and predetermined answer key allow even non-specialists to facilitate the session effectively.

Most 8th grade students will complete this Algorithm Design Quiz in approximately 20 to 30 minutes, depending on their prior exposure to computational thinking concepts.

Teachers can use this Computer Science Quiz for differentiation by providing it as an extension for students who finish early or as a supplemental aid for those grasping the logic of problem decomposition.

This Computer Science Quiz is specifically designed for 8th grade students, though it can be adapted for high school introductory programming courses to review fundamental logic.

You can use this Computer Science Quiz as an exit ticket or mid-unit check to identify common misconceptions regarding time complexity and the debugging process before moving on to live coding.

Debug the Digital Maze: Algorithms for 8th Grade Solvers Quiz - Free Medium Quiz Worksheet | Sheetworks