Computer Science Standards
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Collection, Visualization, & Transformation
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Control
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Cybersecurity
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Devices
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Hardware & Software
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Inference & Models
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Social Interactions
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Showing 21 - 30 of 41 Standards
Standard Identifier: 6-8.DA.9
Grade Range:
6–8
Concept:
Data & Analysis
Subconcept:
Inference & Models
Practice(s):
Developing and Using Abstractions, Testing and Refining Computational Artifacts (4.4, 6.1)
Standard:
Test and analyze the effects of changing variables while using computational models.
Descriptive Statement:
Variables within a computational model may be changed, in order to alter a computer simulation or to more accurately represent how various data is related. Students interact with a given model, make changes to identified model variables, and observe and reflect upon the results. For example, students could test a program that makes a robot move on a track by making changes to variables (e.g., height and angle of track, size and mass of the robot) and discussing how these changes affect how far the robot travels. (CA NGSS: MS-PS2-2) Alternatively, students could test a game simulation and change variables (e.g., skill of simulated players, nature of opening moves) and analyze how these changes affect who wins the game. (CA NGSS: MS-ETS1-3) Additionally, students could modify a model for predicting the likely color of the next pick from a bag of colored candy and analyze the effects of changing variables representing the common color ratios in a typical bag of candy. (CA CCSS for Mathematics 7.SP.7, 8.SP.4)
Test and analyze the effects of changing variables while using computational models.
Descriptive Statement:
Variables within a computational model may be changed, in order to alter a computer simulation or to more accurately represent how various data is related. Students interact with a given model, make changes to identified model variables, and observe and reflect upon the results. For example, students could test a program that makes a robot move on a track by making changes to variables (e.g., height and angle of track, size and mass of the robot) and discussing how these changes affect how far the robot travels. (CA NGSS: MS-PS2-2) Alternatively, students could test a game simulation and change variables (e.g., skill of simulated players, nature of opening moves) and analyze how these changes affect who wins the game. (CA NGSS: MS-ETS1-3) Additionally, students could modify a model for predicting the likely color of the next pick from a bag of colored candy and analyze the effects of changing variables representing the common color ratios in a typical bag of candy. (CA CCSS for Mathematics 7.SP.7, 8.SP.4)
Standard Identifier: 6-8.IC.22
Grade Range:
6–8
Concept:
Impacts of Computing
Subconcept:
Social Interactions
Practice(s):
Collaborating Around Computing, Creating Computational Artifacts (2.4, 5.2)
Standard:
Collaborate with many contributors when creating a computational artifact.
Descriptive Statement:
Users have diverse sets of experiences, needs, and wants. These need to be understood and integrated into the design of computational artifacts. Students use applications that enable crowdsourcing to gather services, ideas, or content from a large group of people. At this level, crowdsourcing can be done at the local level (e.g., classroom, school, or neighborhood) and/or global level (e.g., age-appropriate online communities). For example, a group of students could use electronic surveys to solicit input from their neighborhood regarding an important social or political issue. They could collaborate with a community artist to combine animations and create a digital community collage informing the public about various points of view regarding the topic. (VAPA Visual Art 8.5.2, 8.5.4)
Collaborate with many contributors when creating a computational artifact.
Descriptive Statement:
Users have diverse sets of experiences, needs, and wants. These need to be understood and integrated into the design of computational artifacts. Students use applications that enable crowdsourcing to gather services, ideas, or content from a large group of people. At this level, crowdsourcing can be done at the local level (e.g., classroom, school, or neighborhood) and/or global level (e.g., age-appropriate online communities). For example, a group of students could use electronic surveys to solicit input from their neighborhood regarding an important social or political issue. They could collaborate with a community artist to combine animations and create a digital community collage informing the public about various points of view regarding the topic. (VAPA Visual Art 8.5.2, 8.5.4)
Standard Identifier: 6-8.NI.5
Grade Range:
6–8
Concept:
Networks & the Internet
Subconcept:
Cybersecurity
Practice(s):
Recognizing and Defining Computational Problems (3.1, 3.3)
Standard:
Explain potential security threats and security measures to mitigate threats.
Descriptive Statement:
Cybersecurity is an important field of study and it is valuable for students to understand the need for protecting sensitive data. Students identify multiple methods for protecting data and articulate the value and appropriateness for each method. Students are not expected to implement or explain the implementation of such technologies. For example, students could explain the importance of keeping passwords hidden, setting secure router administrator passwords, erasing a storage device before it is reused, and using firewalls to restrict access to private networks. Alternatively, students could explain the importance of two-factor authentication and HTTPS connections to ensure secure data transmission.
Explain potential security threats and security measures to mitigate threats.
Descriptive Statement:
Cybersecurity is an important field of study and it is valuable for students to understand the need for protecting sensitive data. Students identify multiple methods for protecting data and articulate the value and appropriateness for each method. Students are not expected to implement or explain the implementation of such technologies. For example, students could explain the importance of keeping passwords hidden, setting secure router administrator passwords, erasing a storage device before it is reused, and using firewalls to restrict access to private networks. Alternatively, students could explain the importance of two-factor authentication and HTTPS connections to ensure secure data transmission.
Standard Identifier: 6-8.NI.6
Grade Range:
6–8
Concept:
Networks & the Internet
Subconcept:
Cybersecurity
Practice(s):
Developing and Using Abstractions (4.4)
Standard:
Apply multiple methods of information protection to model the secure transmission of information.
Descriptive Statement:
Digital information is protected using a variety of cryptographic techniques. Cryptography is essential to many models of cybersecurity. At its core, cryptography has a mathematical foundation. Cryptographic encryption can be as simple as letter substitution or as complicated as modern methods used to secure networks and the Internet. Students encode and decode messages using encryption methods, and explore different levels of complexity used to hide or secure information. For example, students could identify methods of secret communication used during the Revolutionary War (e.g., ciphers, secret codes, invisible ink, hidden letters) and then secure their own methods such as substitution ciphers or steganography (i.e., hiding messages inside a picture or other data) to compose a message from either the Continental Army or British Army. (HSS.8.1) Alternatively, students could explore functions and inverse functions for encryption and decryption and consider functions that are complex enough to keep data secure from their peers. (CA CCSS for Mathematics 8.F.1)
Apply multiple methods of information protection to model the secure transmission of information.
Descriptive Statement:
Digital information is protected using a variety of cryptographic techniques. Cryptography is essential to many models of cybersecurity. At its core, cryptography has a mathematical foundation. Cryptographic encryption can be as simple as letter substitution or as complicated as modern methods used to secure networks and the Internet. Students encode and decode messages using encryption methods, and explore different levels of complexity used to hide or secure information. For example, students could identify methods of secret communication used during the Revolutionary War (e.g., ciphers, secret codes, invisible ink, hidden letters) and then secure their own methods such as substitution ciphers or steganography (i.e., hiding messages inside a picture or other data) to compose a message from either the Continental Army or British Army. (HSS.8.1) Alternatively, students could explore functions and inverse functions for encryption and decryption and consider functions that are complex enough to keep data secure from their peers. (CA CCSS for Mathematics 8.F.1)
Standard Identifier: 9-12.AP.14
Grade Range:
9–12
Concept:
Algorithms & Programming
Subconcept:
Control
Practice(s):
Creating Computational Artifacts (5.2)
Standard:
Justify the selection of specific control structures by identifying tradeoffs associated with implementation, readability, and performance.
Descriptive Statement:
The selection of control structures in a given programming language impacts readability and performance. Readability refers to how clear the program is to other programmers and can be improved through documentation. Control structures at this level may include, for example, conditional statements, loops, event handlers, and recursion. Students justify control structure selection and tradeoffs in the process of creating their own computational artifacts. The discussion of performance is limited to a theoretical understanding of execution time and storage requirements; a quantitative analysis is not expected. For example, students could compare the readability and program performance of iterative and recursive implementations of procedures that calculate the Fibonacci sequence. Alternatively, students could compare the readability and performance tradeoffs of multiple if statements versus a nested if statement.
Justify the selection of specific control structures by identifying tradeoffs associated with implementation, readability, and performance.
Descriptive Statement:
The selection of control structures in a given programming language impacts readability and performance. Readability refers to how clear the program is to other programmers and can be improved through documentation. Control structures at this level may include, for example, conditional statements, loops, event handlers, and recursion. Students justify control structure selection and tradeoffs in the process of creating their own computational artifacts. The discussion of performance is limited to a theoretical understanding of execution time and storage requirements; a quantitative analysis is not expected. For example, students could compare the readability and program performance of iterative and recursive implementations of procedures that calculate the Fibonacci sequence. Alternatively, students could compare the readability and performance tradeoffs of multiple if statements versus a nested if statement.
Standard Identifier: 9-12.AP.15
Grade Range:
9–12
Concept:
Algorithms & Programming
Subconcept:
Control
Practice(s):
Creating Computational Artifacts (5.1, 5.2, 5.3)
Standard:
Iteratively design and develop computational artifacts for practical intent, personal expression, or to address a societal issue by using events to initiate instructions.
Descriptive Statement:
In this context, relevant computational artifacts can include programs, mobile apps, or web apps. Events can be user-initiated, such as a button press, or system-initiated, such as a timer firing. For example, students might create a tool for drawing on a canvas by first implementing a button to set the color of the pen. Alternatively, students might create a game where many events control instructions executed (e.g., when a score climbs above a threshold, a congratulatory sound is played; when a user clicks on an object, the object is loaded into a basket; when a user clicks on an arrow key, the player object is moved around the screen).
Iteratively design and develop computational artifacts for practical intent, personal expression, or to address a societal issue by using events to initiate instructions.
Descriptive Statement:
In this context, relevant computational artifacts can include programs, mobile apps, or web apps. Events can be user-initiated, such as a button press, or system-initiated, such as a timer firing. For example, students might create a tool for drawing on a canvas by first implementing a button to set the color of the pen. Alternatively, students might create a game where many events control instructions executed (e.g., when a score climbs above a threshold, a congratulatory sound is played; when a user clicks on an object, the object is loaded into a basket; when a user clicks on an arrow key, the player object is moved around the screen).
Standard Identifier: 9-12.CS.1
Grade Range:
9–12
Concept:
Computing Systems
Subconcept:
Devices
Practice(s):
Developing and Using Abstractions (4.1)
Standard:
Describe ways in which abstractions hide the underlying implementation details of computing systems to simplify user experiences.
Descriptive Statement:
An abstraction is a representation of an idea or phenomenon that hides details irrelevant to the question at hand. Computing systems, both stand alone and embedded in products, are often integrated with other systems to simplify user experiences. For example, students could identify geolocation hardware embedded in a smartphone and describe how this simplifies the users experience since the user does not have to enter her own location on the phone. Alternatively, students might select an embedded device such as a car stereo, identify the types of data (e.g., radio station presets, volume level) and procedures (e.g., increase volume, store/recall saved station, mute) it includes, and explain how the implementation details are hidden from the user.
Describe ways in which abstractions hide the underlying implementation details of computing systems to simplify user experiences.
Descriptive Statement:
An abstraction is a representation of an idea or phenomenon that hides details irrelevant to the question at hand. Computing systems, both stand alone and embedded in products, are often integrated with other systems to simplify user experiences. For example, students could identify geolocation hardware embedded in a smartphone and describe how this simplifies the users experience since the user does not have to enter her own location on the phone. Alternatively, students might select an embedded device such as a car stereo, identify the types of data (e.g., radio station presets, volume level) and procedures (e.g., increase volume, store/recall saved station, mute) it includes, and explain how the implementation details are hidden from the user.
Standard Identifier: 9-12.CS.2
Grade Range:
9–12
Concept:
Computing Systems
Subconcept:
Hardware & Software
Practice(s):
Developing and Using Abstractions (4.1)
Standard:
Compare levels of abstraction and interactions between application software, system software, and hardware.
Descriptive Statement:
At its most basic level, a computer is composed of physical hardware on which software runs. Multiple layers of software are built upon various layers of hardware. Layers manage interactions and complexity in the computing system. System software manages a computing device's resources so that software can interact with hardware. Application software communicates with the user and the system software to accomplish its purpose. Students compare and describe how application software, system software, and hardware interact. For example, students could compare how various levels of hardware and software interact when a picture is to be taken on a smartphone. Systems software provides low-level commands to operate the camera hardware, but the application software interacts with system software at a higher level by requesting a common image file format (e.g., .png) that the system software provides.
Compare levels of abstraction and interactions between application software, system software, and hardware.
Descriptive Statement:
At its most basic level, a computer is composed of physical hardware on which software runs. Multiple layers of software are built upon various layers of hardware. Layers manage interactions and complexity in the computing system. System software manages a computing device's resources so that software can interact with hardware. Application software communicates with the user and the system software to accomplish its purpose. Students compare and describe how application software, system software, and hardware interact. For example, students could compare how various levels of hardware and software interact when a picture is to be taken on a smartphone. Systems software provides low-level commands to operate the camera hardware, but the application software interacts with system software at a higher level by requesting a common image file format (e.g., .png) that the system software provides.
Standard Identifier: 9-12.DA.10
Grade Range:
9–12
Concept:
Data & Analysis
Subconcept:
Collection, Visualization, & Transformation
Practice(s):
Creating Computational Artifacts (5.2)
Standard:
Create data visualizations to help others better understand real-world phenomena.
Descriptive Statement:
People transform, generalize, simplify, and present large data sets in different ways to influence how other people interpret and understand the underlying information. Students select relevant data from large or complex data sets in support of a claim or to communicate the information in a more sophisticated manner. Students use software tools or programming to perform a range of mathematical operations to transform and analyze data and create powerful data visualizations (that reveal patterns in the data). For example, students could create data visualizations to reveal patterns in voting data by state, gender, political affiliation, or socioeconomic status. Alternatively, students could use U.S. government data on criticially endangered animals to visualize population change over time.
Create data visualizations to help others better understand real-world phenomena.
Descriptive Statement:
People transform, generalize, simplify, and present large data sets in different ways to influence how other people interpret and understand the underlying information. Students select relevant data from large or complex data sets in support of a claim or to communicate the information in a more sophisticated manner. Students use software tools or programming to perform a range of mathematical operations to transform and analyze data and create powerful data visualizations (that reveal patterns in the data). For example, students could create data visualizations to reveal patterns in voting data by state, gender, political affiliation, or socioeconomic status. Alternatively, students could use U.S. government data on criticially endangered animals to visualize population change over time.
Standard Identifier: 9-12.DA.11
Grade Range:
9–12
Concept:
Data & Analysis
Subconcept:
Inference & Models
Practice(s):
Developing and Using Abstractions, Testing and Refining Computational Artifacts (4.4, 6.3)
Standard:
Refine computational models to better represent the relationships among different elements of data collected from a phenomenon or process.
Descriptive Statement:
Computational models are used to make predictions about processes or phenomena based on selected data and features. They allow people to investigate the relationships among different variables to understand a system. Predictions are tested to validate models. Students evaluate these models against real-world observations. For example, students could use a population model that allows them to speculate about interactions among different species, evaluate the model based on data gathered from nature, and then refine the model to reflect more complex and realistic interactions.
Refine computational models to better represent the relationships among different elements of data collected from a phenomenon or process.
Descriptive Statement:
Computational models are used to make predictions about processes or phenomena based on selected data and features. They allow people to investigate the relationships among different variables to understand a system. Predictions are tested to validate models. Students evaluate these models against real-world observations. For example, students could use a population model that allows them to speculate about interactions among different species, evaluate the model based on data gathered from nature, and then refine the model to reflect more complex and realistic interactions.
Showing 21 - 30 of 41 Standards
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