Computer Science Standards
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Showing 21 - 30 of 51 Standards
Standard Identifier: 6-8.CS.1
Grade Range:
6–8
Concept:
Computing Systems
Subconcept:
Devices
Practice(s):
Fostering an Inclusive Computing Culture, Recognizing and Defining Computational Problems (1.2, 3.3)
Standard:
Design modifications to computing devices in order to improve the ways users interact with the devices.
Descriptive Statement:
Computing devices can extend the abilities of humans, but design considerations are critical to make these devices useful. Students suggest modifications to the design of computing devices and describe how these modifications would improve usabilty. For example, students could create a design for the screen layout of a smartphone that is more usable by people with vision impairments or hand tremors. They might also design how to use the device as a scanner to convert text to speech. Alternatively, students could design modifications for a student ID card reader to increase usability by planning for scanner height, need of scanner device to be connected physically to the computer, robustness of scanner housing, and choice of use of RFID or line of sight scanners. (CA NGSS: MS-ETS1-1)
Design modifications to computing devices in order to improve the ways users interact with the devices.
Descriptive Statement:
Computing devices can extend the abilities of humans, but design considerations are critical to make these devices useful. Students suggest modifications to the design of computing devices and describe how these modifications would improve usabilty. For example, students could create a design for the screen layout of a smartphone that is more usable by people with vision impairments or hand tremors. They might also design how to use the device as a scanner to convert text to speech. Alternatively, students could design modifications for a student ID card reader to increase usability by planning for scanner height, need of scanner device to be connected physically to the computer, robustness of scanner housing, and choice of use of RFID or line of sight scanners. (CA NGSS: MS-ETS1-1)
Standard Identifier: 6-8.DA.7
Grade Range:
6–8
Concept:
Data & Analysis
Subconcept:
Storage
Practice(s):
Developing and Using Abstractions (4.4)
Standard:
Represent data in multiple ways.
Descriptive Statement:
Computers store data as sequences of 0s and 1s (bits). Software translates to and from this low-level representation to higher levels that are understandable by people. Furthermore, higher level data can be represented in multiple ways, such as the digital display of a color and its corresponding numeric RGB value, or a bar graph, a pie chart, and table representation of the same data in a spreadsheet. For example, students could use a color picker to explore the correspondence between the digital display or name of a color (high-level representations) and its RGB value or hex code (low-level representation). Alternatively, students could translate a word (high-level representation) into Morse code or its corresponding sequence of ASCII codes (low-level representation).
Represent data in multiple ways.
Descriptive Statement:
Computers store data as sequences of 0s and 1s (bits). Software translates to and from this low-level representation to higher levels that are understandable by people. Furthermore, higher level data can be represented in multiple ways, such as the digital display of a color and its corresponding numeric RGB value, or a bar graph, a pie chart, and table representation of the same data in a spreadsheet. For example, students could use a color picker to explore the correspondence between the digital display or name of a color (high-level representations) and its RGB value or hex code (low-level representation). Alternatively, students could translate a word (high-level representation) into Morse code or its corresponding sequence of ASCII codes (low-level representation).
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.21
Grade Range:
6–8
Concept:
Impacts of Computing
Subconcept:
Culture
Practice(s):
Fostering an Inclusive Computing Culture (1.2)
Standard:
Discuss issues of bias and accessibility in the design of existing technologies.
Descriptive Statement:
Computing technologies should support users of many backgrounds and abilities. In order to maximize accessiblity, these differences need to be addressed by examining diverse populations. With the teacher's guidance, students test and discuss the usability of various technology tools, such as apps, games, and devices. For example, students could discuss the impacts of facial recognition software that works better for lighter skin tones and recognize that the software was likely developed with a homogeneous testing group. Students could then discuss how accessibility could be improved by sampling a more diverse population. (CA CCSS for ELA/Literacy SL.6.1, SL.7.1, SL.8.1)
Discuss issues of bias and accessibility in the design of existing technologies.
Descriptive Statement:
Computing technologies should support users of many backgrounds and abilities. In order to maximize accessiblity, these differences need to be addressed by examining diverse populations. With the teacher's guidance, students test and discuss the usability of various technology tools, such as apps, games, and devices. For example, students could discuss the impacts of facial recognition software that works better for lighter skin tones and recognize that the software was likely developed with a homogeneous testing group. Students could then discuss how accessibility could be improved by sampling a more diverse population. (CA CCSS for ELA/Literacy SL.6.1, SL.7.1, SL.8.1)
Standard Identifier: 6-8.NI.4
Grade Range:
6–8
Concept:
Networks & the Internet
Subconcept:
Network Communication & Organization
Practice(s):
Developing and Using Abstractions (4.4)
Standard:
Model the role of protocols in transmitting data across networks and the Internet.
Descriptive Statement:
Protocols are rules that define how messages between computers are sent. They determine how quickly and securely information is transmitted across networks, as well as how to handle errors in transmission. Students model how data is sent using protocols to choose the fastest path and to deal with missing information. Knowledge of the details of how specific protocols work is not expected. The priority at this grade level is understanding the purpose of protocols and how they enable efficient and errorless communication. For example, students could devise a plan for sending data representing a textual message and devise a plan for resending lost information. Alternatively, students could devise a plan for sending data to represent a picture, and devise a plan for interpreting the image when pieces of the data are missing. Additionally, students could model the speed of sending messages by Bluetooth, Wi-Fi, or cellular networks and describe ways errors in data transmission can be detected and dealt with.
Model the role of protocols in transmitting data across networks and the Internet.
Descriptive Statement:
Protocols are rules that define how messages between computers are sent. They determine how quickly and securely information is transmitted across networks, as well as how to handle errors in transmission. Students model how data is sent using protocols to choose the fastest path and to deal with missing information. Knowledge of the details of how specific protocols work is not expected. The priority at this grade level is understanding the purpose of protocols and how they enable efficient and errorless communication. For example, students could devise a plan for sending data representing a textual message and devise a plan for resending lost information. Alternatively, students could devise a plan for sending data to represent a picture, and devise a plan for interpreting the image when pieces of the data are missing. Additionally, students could model the speed of sending messages by Bluetooth, Wi-Fi, or cellular networks and describe ways errors in data transmission can be detected and dealt with.
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.12
Grade Range:
9–12
Concept:
Algorithms & Programming
Subconcept:
Algorithms
Practice(s):
Developing and Using Abstractions, Creating Computational Artifacts (4.2, 5.1)
Standard:
Design algorithms to solve computational problems using a combination of original and existing algorithms.
Descriptive Statement:
Knowledge of common algorithms improves how people develop software, secure data, and store information. Some algorithms may be easier to implement in a particular programming language, work faster, require less memory to store data, and be applicable in a wider variety of situations than other algorithms. Algorithms used to search and sort data are common in a variety of software applications. For example, students could design an algorithm to calculate and display various sports statistics and use common sorting or mathematical algorithms (e.g., average) in the design of the overall algorithm. Alternatively, students could design an algorithm to implement a game and use existing randomization algorithms to place pieces randomly in starting positions or to control the "roll" of a dice or selection of a "card" from a deck.
Design algorithms to solve computational problems using a combination of original and existing algorithms.
Descriptive Statement:
Knowledge of common algorithms improves how people develop software, secure data, and store information. Some algorithms may be easier to implement in a particular programming language, work faster, require less memory to store data, and be applicable in a wider variety of situations than other algorithms. Algorithms used to search and sort data are common in a variety of software applications. For example, students could design an algorithm to calculate and display various sports statistics and use common sorting or mathematical algorithms (e.g., average) in the design of the overall algorithm. Alternatively, students could design an algorithm to implement a game and use existing randomization algorithms to place pieces randomly in starting positions or to control the "roll" of a dice or selection of a "card" from a deck.
Standard Identifier: 9-12.AP.13
Grade Range:
9–12
Concept:
Algorithms & Programming
Subconcept:
Variables
Practice(s):
Developing and Using Abstractions (4.1)
Standard:
Create more generalized computational solutions using collections instead of repeatedly using simple variables.
Descriptive Statement:
Computers can automate repetitive tasks with algorithms that use collections to simplify and generalize computational problems. Students identify common features in multiple segments of code and substitute a single segment that uses collections (i.e., arrays, sets, lists) to account for the differences. For example, students could take a program that inputs students' scores into multiple variables and modify it to read these scores into a single array of scores. Alternatively, instead of writing one procedure to find averages of student scores and another to find averages of student absences, students could write a single general average procedure to support both tasks.
Create more generalized computational solutions using collections instead of repeatedly using simple variables.
Descriptive Statement:
Computers can automate repetitive tasks with algorithms that use collections to simplify and generalize computational problems. Students identify common features in multiple segments of code and substitute a single segment that uses collections (i.e., arrays, sets, lists) to account for the differences. For example, students could take a program that inputs students' scores into multiple variables and modify it to read these scores into a single array of scores. Alternatively, instead of writing one procedure to find averages of student scores and another to find averages of student absences, students could write a single general average procedure to support both tasks.
Standard Identifier: 9-12.AP.17
Grade Range:
9–12
Concept:
Algorithms & Programming
Subconcept:
Modularity
Practice(s):
Developing and Using Abstractions, Creating Computational Artifacts (4.3, 5.2)
Standard:
Create computational artifacts using modular design.
Descriptive Statement:
Computational artifacts are created by combining and modifying existing computational artifacts and/or by developing new artifacts. To reduce complexity, large programs can be designed as systems of interacting modules, each with a specific role, coordinating for a common overall purpose. Students should create computational artifacts with interacting procedures, modules, and/or libraries. For example, students could incorporate a physics library into an animation of bouncing balls. Alternatively, students could integrate open-source JavaScript libraries to expand the functionality of a web application. Additionally, students could create their own game to teach Spanish vocabulary words using their own modular design (e.g., including methods to: control scoring, manage wordlists, manage access to different game levels, take input from the user, etc.).
Create computational artifacts using modular design.
Descriptive Statement:
Computational artifacts are created by combining and modifying existing computational artifacts and/or by developing new artifacts. To reduce complexity, large programs can be designed as systems of interacting modules, each with a specific role, coordinating for a common overall purpose. Students should create computational artifacts with interacting procedures, modules, and/or libraries. For example, students could incorporate a physics library into an animation of bouncing balls. Alternatively, students could integrate open-source JavaScript libraries to expand the functionality of a web application. Additionally, students could create their own game to teach Spanish vocabulary words using their own modular design (e.g., including methods to: control scoring, manage wordlists, manage access to different game levels, take input from the user, etc.).
Standard Identifier: 9-12.AP.18
Grade Range:
9–12
Concept:
Algorithms & Programming
Subconcept:
Program Development
Practice(s):
Fostering an Inclusive Computing Culture, Creating Computational Artifacts (1.1, 5.1)
Standard:
Systematically design programs for broad audiences by incorporating feedback from users.
Descriptive Statement:
Programmers use a systematic design and review process to meet the needs of a broad audience. The process includes planning to meet user needs, developing software for broad audiences, testing users from a cross-section of the audience, and refining designs based on feedback. For example, students could create a user satisfaction survey and brainstorm distribution methods to collect feedback about a mobile application. After collecting feedback from a diverse audience, students could incorporate feedback into their product design. Alternatively, while developing an e-textiles project with human touch sensors, students could collect data from peers and identify design changes needed to improve usability by users of different needs.
Systematically design programs for broad audiences by incorporating feedback from users.
Descriptive Statement:
Programmers use a systematic design and review process to meet the needs of a broad audience. The process includes planning to meet user needs, developing software for broad audiences, testing users from a cross-section of the audience, and refining designs based on feedback. For example, students could create a user satisfaction survey and brainstorm distribution methods to collect feedback about a mobile application. After collecting feedback from a diverse audience, students could incorporate feedback into their product design. Alternatively, while developing an e-textiles project with human touch sensors, students could collect data from peers and identify design changes needed to improve usability by users of different needs.
Showing 21 - 30 of 51 Standards
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