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Standards Mapping

for Rhode Island 9-12


Standards in this Framework


Standards Mapped


Mapped to Course

Standard Lessons
Create computational artifacts that use algorithms to solve computational problems by leveraging prior knowledge and personal interests.
  1. 30.1 Let's Build Mastermind
Explain the role of a variable within a program, and the scope in which its name and value can be used.
  1. 3.4 Variables
Create a program that processes a collection of data.
  1. 7.1 Tuples
  2. 7.2 Lists
  3. 7.3 For Loops and Lists
  4. 7.4 List Methods
  5. 7.5 Simulation
  6. 13.1 Getting Started with Data
  7. 13.2 Visualizing and Interpreting Data
  8. 13.3 Data Collection & Limitations
  9. 32.1 Practice PT: The Shopping List
  10. 34.1 2d Lists
  11. 34.2 List Comprehensions
  12. 34.3 Packing and Unpacking
  13. 34.4 Dictionaries
Create and justify the selection of specific control structures when tradeoffs involve code organization, readability, and program performance and explain the benefits and drawbacks of choices made.
  1. 1.11 If Statements
  2. 1.13 While Loops in Karel
  3. 1.14 Control Structures Example
  4. 1.18 Karel Challenges
  5. 4.4 If Statements
  6. 4.5 Key Events
  7. 4.6 For Loops in Python
  8. 4.7 General For Loops
  9. 4.8 For Loop Practice
  10. 4.10 While Loops
Identify existing computational artifacts that can be used for the subtasks of a decomposed problem
  1. 1.6 Top Down Design and Decomposition in Karel
Create computational artifacts by incorporating predefined procedures, self-defined procedures and external artifacts.
  1. 5.1 Functions and Parameters 1
  2. 5.2 Functions and Parameters 2
  3. 5.3 Functions and Parameters 3
  4. 5.4 Functions and Return Values 1
  5. 5.5 Functions and Return Values 2
Systematically design and implement computational artifacts for targeted audiences by incorporating feedback from users.
  1. 18.1 Intro to Design Thinking
  2. 18.2 Prototype
  3. 18.3 Test
  4. 18.4 Project Prep and Development
Systematically test and refine programs using a range of test cases.
  1. 3.6 Basic Math in Python
  2. 33.5 The in Keyword
  3. 34.4 Dictionaries
Document computational artifacts in order to make them easier to follow, test, and debug.
  1. 1.7 Commenting Your Code
  2. 2.1 Practice PT: Pair-Programming Paint!
Analyze a computing system and explain how abstractions simplify the underlying implementation details embedded in everyday objects.
  1. 1.8 Abstraction
  2. 1.9 Super Karel
  3. 1.17 Ultra Karel
  4. 5.8 Python vs Karel
  5. 8.1 Intro to Digital Information
Compare levels of abstraction and interactions between application software, system software, and hardware layers.
  1. 8.1 Intro to Digital Information
  2. 8.3 Encoding Text with Binary
Develop and communicate troubleshooting strategies others can use to identify and fix errors.
  1. 1.5 Functions in Karel
  2. 1.15 Debugging Strategies
Identify the various elements of a network and describe how they function and interact to transfer information.
  1. 11.2 Internet Hardware
  2. 11.6 Routing
Explain the privacy concerns related to the collection and generation of data through automated processes that may not be evident to users.
  1. 11.9 Cybersecurity
Analyze an existing or proposed application to identify the potential ways it could be used to obtain sensitive information.
  1. 11.9 Cybersecurity
Explain how the digital security of an organization may be affected by the actions of its employees.
  1. 11.9 Cybersecurity
Recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts.
  1. 11.9 Cybersecurity
Explain tradeoffs when selecting and implementing cybersecurity recommendations.
  1. 11.9 Cybersecurity
Describe the appropriate actions to take in response to detected security breaches.
  1. 11.9 Cybersecurity
Select appropriate data-collection tools and presentation techniques for different types of data.
  1. 13.2 Visualizing and Interpreting Data
  2. 13.3 Data Collection & Limitations
Create computational models that represent the relationships among different elements of data collected from a phenomenon or process.
  1. 7.5 Simulation
Discuss potential hidden biases that could be introduced while collecting a dataset and how these biases could affect analysis conclusions.
  1. 13.3 Data Collection & Limitations
Evaluate the ability of models and simulations to test and support the refinement of hypotheses.
  1. 7.5 Simulation
Explain tradeoffs between storing data locally or in central, cloud-based systems.
Translate data for various real-world phenomena, such as characters, numbers, and images, into bits.
  1. 8.3 Encoding Text with Binary
  2. 8.4 Pixel Images
Select appropriate software tools or resources to create a complex artifact or solve a problem.
Decompose a complex problem into multiple questions, identify which can be explored through digital sources, and synthesize query results using a variety of software tools.
Describe different kinds of computations that software tools perform to tailor a system to individual users.
Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices.
  1. 11.10 The Impact of the Internet
  2. 12.1 The Effects of the Internet
Design and analyze computational artifacts to reduce bias and equity deficits.
  1. 11.10 The Impact of the Internet
Evaluate the impact of equity, access, and influence on the distribution of computing resources in a global society.
  1. 11.10 The Impact of the Internet
Evaluate the impact of intellectual property laws on the use of digital information.
  1. 11.11 Creative Credit & Copyright
Evaluate the social and economic implications of privacy and free speech in the context of safety, law, or ethics.
Use tools and methods for collaboration on a project to increase connectivity between people in different cultures and career fields.