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Computer Science Principles
  • Introduction
  • Overview
  • Course at a Glance
  • Course Exam Description
  • Create Performance Task
  • Reference Sheet
  • Resources
  • Big Idea 1
    • 1.1 Collaboration
    • 1.2 Program Function and Purpose
    • 1.3 Program Design and Development
    • 1.4 Identifying and Correcting Errors
  • Big Idea 2
    • 2.1 Binary Numbers
    • 2.2 Data Compression
    • 2.3 Extracting Information from Data
    • 2.4 Using Programs with Data
  • Big Idea 3
    • 3.1 Variables and Assignments
    • 3.2 Data Abstraction
    • 3.3 Mathematical Expressions
    • 3.4 Strings
    • 3.5 Boolean Expression
    • 3.6 Conditionals
    • 3.7 Nested Conditionals
    • 3.8 Iteration
    • 3.9 Developing Algorithms
    • 3.10 Lists
    • 3.11 Binary Search
    • 3.12 Calling Procedures
    • 3.13 Developing Procedures
    • 3.14 Libraries
    • 3.15 Random Values
    • 3.16 Simulations
    • 3.17 Algorithmic Efficiency
    • 3.18 Undecidable Problems
  • Big Idea 4
    • 4.1 The Internet
    • 4.2 Fault Tolerant
    • 4.3 Parallel and Distributed Computing
  • Big Idea 5
    • 5.1 Beneficial and Harmful Effects
    • 5.2 Digital Divide
    • 5.3 Computing Bias
    • 5.4 Crowdsourcing
    • 5.5 Legal and Ethical Concerns
    • 5.6 Safe Computing
  • Code
    • Week 10
    • Week 11
    • Week 12
    • Week 13
    • Week 14
    • Week 15
    • Week 16
    • Week 17
    • Week 18
    • Week 19
    • Week 20
    • Week 21
    • Week 22
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  • Enduring Understanding
  • Learning Objective
  • Essential Knowledge

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  1. Big Idea 5

5.4 Crowdsourcing

Enduring Understanding

While computing innovations are typically designed to achieve a specific purpose, they may have unintended consequences.

Learning Objective

Explain how people participate in problem-solving processes at scale.

Essential Knowledge

Widespread access to information and public data facilitates the identification of problems, development of solutions, and dissemination of results

Science has been affected by using distributed and “citizen science” to solve scientific problems.

Citizen science is scientific research conducted in whole or part by distributed individuals, many of whom may not be scientists, who contribute relevant data to research using their own computing devices.

Crowdsourcing is the practice of obtaining input or information from a large number of people via the Internet.

Human capabilities can be enhanced by collaboration via computing.

Crowdsourcing offers new models for collaboration, such as connecting businesses or social causes with funding.

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Last updated 1 year ago

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