Computer Science Standards
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Algorithms
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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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Inference & Models
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Social Interactions
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Showing 11 - 20 of 44 Standards
Standard Identifier: 3-5.CS.1
Grade Range:
3–5
Concept:
Computing Systems
Subconcept:
Devices
Practice(s):
Communicating About Computing (7.2)
Standard:
Describe how computing devices connect to other components to form a system.
Descriptive Statement:
Computing devices often depend on other devices or components. Students describe physical and wireless connections to other components, including both input devices (e.g., keyboards, sensors, remote controls, microphones) and output devices (e.g., 3D printers, monitors, speakers). For example, students could describe the relationship among the heart, lungs, muscles, blood, and oxygen during physical activity and then compare this to how a mouse, keyboard, printer, and desktop computer connect and interact to allow for input, processing, and output. (P.E.3.4.7) Alternatively, when describing how light reflected from objects enters the eye and is then transferred to the brain to construct a visual image, students could compare this to a computing system that uses programming to construct a visual image when data is transferred and constructed/reconstructed through a keyboard, camera, or other components. (CA NGSS: 4-PS4-2)
Describe how computing devices connect to other components to form a system.
Descriptive Statement:
Computing devices often depend on other devices or components. Students describe physical and wireless connections to other components, including both input devices (e.g., keyboards, sensors, remote controls, microphones) and output devices (e.g., 3D printers, monitors, speakers). For example, students could describe the relationship among the heart, lungs, muscles, blood, and oxygen during physical activity and then compare this to how a mouse, keyboard, printer, and desktop computer connect and interact to allow for input, processing, and output. (P.E.3.4.7) Alternatively, when describing how light reflected from objects enters the eye and is then transferred to the brain to construct a visual image, students could compare this to a computing system that uses programming to construct a visual image when data is transferred and constructed/reconstructed through a keyboard, camera, or other components. (CA NGSS: 4-PS4-2)
Standard Identifier: 3-5.DA.8
Grade Range:
3–5
Concept:
Data & Analysis
Subconcept:
Collection, Visualization, & Transformation
Practice(s):
Communicating About Computing (7.1)
Standard:
Organize and present collected data visually to highlight relationships and support a claim.
Descriptive Statement:
Raw data has little meaning on its own. Data is often sorted or grouped to provide additional clarity. Organizing data can make interpreting and communicating it to others easier. Data points can be clustered by a number of commonalities. The same data could be manipulated in different ways to emphasize particular aspects or parts of the data set. For example, students could create and administer electronic surveys to their classmates. Possible topics could include favorite books, family heritage, and after school activities. Students could then create digital displays of the data they have collected such as column histogram charts showing the percent of respondents in each grade who selected a particular favorite book. Finally, students could make quantitative statements supported by the data such as which books are more appealing to specific ages of students. As an extension, students could write an opinion piece stating a claim and supporting it with evidence from the data they collected. (CA CCSS for Mathematics 3.MD.3, 4.MD.4, 5.MD.2) (CA CCSS for ELA/Literacy W.3.1, W.4.1, W.5.1) Alternatively, students could represent data in tables and graphical displays to describe weather experienced in the last several years. They could select the type of graphical display based on the specific data represented (e.g., daily high/low temperatures on a scatter plot, average temperatures for a month across years in a column chart). Students could then make a claim about expected weather in future months based on the data. (CA NGSS: 3-ESS2-1)
Organize and present collected data visually to highlight relationships and support a claim.
Descriptive Statement:
Raw data has little meaning on its own. Data is often sorted or grouped to provide additional clarity. Organizing data can make interpreting and communicating it to others easier. Data points can be clustered by a number of commonalities. The same data could be manipulated in different ways to emphasize particular aspects or parts of the data set. For example, students could create and administer electronic surveys to their classmates. Possible topics could include favorite books, family heritage, and after school activities. Students could then create digital displays of the data they have collected such as column histogram charts showing the percent of respondents in each grade who selected a particular favorite book. Finally, students could make quantitative statements supported by the data such as which books are more appealing to specific ages of students. As an extension, students could write an opinion piece stating a claim and supporting it with evidence from the data they collected. (CA CCSS for Mathematics 3.MD.3, 4.MD.4, 5.MD.2) (CA CCSS for ELA/Literacy W.3.1, W.4.1, W.5.1) Alternatively, students could represent data in tables and graphical displays to describe weather experienced in the last several years. They could select the type of graphical display based on the specific data represented (e.g., daily high/low temperatures on a scatter plot, average temperatures for a month across years in a column chart). Students could then make a claim about expected weather in future months based on the data. (CA NGSS: 3-ESS2-1)
Standard Identifier: 3-5.DA.9
Grade Range:
3–5
Concept:
Data & Analysis
Subconcept:
Inference & Models
Practice(s):
Communicating About Computing (7.1)
Standard:
Use data to highlight and/or propose relationships, predict outcomes, or communicate ideas.
Descriptive Statement:
The accuracy of data analysis is related to how the data is represented. Inferences or predictions based on data are less likely to be accurate if the data is insufficient, incomplete, or inaccurate or if the data is incorrect in some way. Additionally, people select aspects and subsets of data to be transformed, organized, and categorized. Students should be able to refer to data when communicating an idea, in order to highlight and/or propose relationships, predict outcomes, highlight different views and/or communicate insights and ideas. For example, students can be provided a scenario in which they are city managers who have a specific amount of funds to improve a city in California. Students can collect data of a city concerning land use, vegetation, wildlife, climate, population density, services and transportation (HSS.4.1.5) to determine and present what area needs to be focused on to improve a problem. Students can compare their data and planned use of funds with peers, clearly communicating or predict outcomes based on data collected. (CA CCCS for ELA/Literacy SL.3.1, SL.4.1, SL.5.1) Alternatively, students could record the temperature at noon each day to show that temperatures are higher in certain months of the year. If temperatures are not recorded on non-school days or are recorded incorrectly, the data would be incomplete and ideas being communicated could be inaccurate. Students may also record the day of the week on which the data was collected, but this would have no relevance to whether temperatures are higher or lower. In order to have sufficient and accurate data on which to communicate the idea, students might use data provided by a governmental weather agency. (CA NGSS: 3-ESS2-1)
Use data to highlight and/or propose relationships, predict outcomes, or communicate ideas.
Descriptive Statement:
The accuracy of data analysis is related to how the data is represented. Inferences or predictions based on data are less likely to be accurate if the data is insufficient, incomplete, or inaccurate or if the data is incorrect in some way. Additionally, people select aspects and subsets of data to be transformed, organized, and categorized. Students should be able to refer to data when communicating an idea, in order to highlight and/or propose relationships, predict outcomes, highlight different views and/or communicate insights and ideas. For example, students can be provided a scenario in which they are city managers who have a specific amount of funds to improve a city in California. Students can collect data of a city concerning land use, vegetation, wildlife, climate, population density, services and transportation (HSS.4.1.5) to determine and present what area needs to be focused on to improve a problem. Students can compare their data and planned use of funds with peers, clearly communicating or predict outcomes based on data collected. (CA CCCS for ELA/Literacy SL.3.1, SL.4.1, SL.5.1) Alternatively, students could record the temperature at noon each day to show that temperatures are higher in certain months of the year. If temperatures are not recorded on non-school days or are recorded incorrectly, the data would be incomplete and ideas being communicated could be inaccurate. Students may also record the day of the week on which the data was collected, but this would have no relevance to whether temperatures are higher or lower. In order to have sufficient and accurate data on which to communicate the idea, students might use data provided by a governmental weather agency. (CA NGSS: 3-ESS2-1)
Standard Identifier: 3-5.IC.22
Grade Range:
3–5
Concept:
Impacts of Computing
Subconcept:
Social Interactions
Practice(s):
Fostering an Inclusive Computing Culture (1.1)
Standard:
Seek and explain the impact of diverse perspectives for the purpose of improving computational artifacts.
Descriptive Statement:
Computing technologies enable global collaboration and sharing of ideas. Students solicit feedback from a diverse group of users and creators and explain how this input improves their computational artifacts. For example, students could seek feedback from classmates via user surveys, in order to create an idea and then make a claim as to how to improve the overall structure and function of their computational artifact. Using the feedback students could write an opinion piece supporting their claim. (CA CCSS for ELA/Literacy W.3.1, W.4.1, W.5.1) Alternatively, with guidance from their teacher, students could use video conferencing tools, shared documents, or other online collaborative spaces, such as blogs, wikis, forums, or website comments, to gather and synthesize feedback from individuals and groups about programming projects. (CA CCSS for ELA/Literacy SL.3.1, SL.4.1, SL.5.1)
Seek and explain the impact of diverse perspectives for the purpose of improving computational artifacts.
Descriptive Statement:
Computing technologies enable global collaboration and sharing of ideas. Students solicit feedback from a diverse group of users and creators and explain how this input improves their computational artifacts. For example, students could seek feedback from classmates via user surveys, in order to create an idea and then make a claim as to how to improve the overall structure and function of their computational artifact. Using the feedback students could write an opinion piece supporting their claim. (CA CCSS for ELA/Literacy W.3.1, W.4.1, W.5.1) Alternatively, with guidance from their teacher, students could use video conferencing tools, shared documents, or other online collaborative spaces, such as blogs, wikis, forums, or website comments, to gather and synthesize feedback from individuals and groups about programming projects. (CA CCSS for ELA/Literacy SL.3.1, SL.4.1, SL.5.1)
Standard Identifier: 3-5.NI.5
Grade Range:
3–5
Concept:
Networks & the Internet
Subconcept:
Cybersecurity
Practice(s):
Recognizing and Defining Computational Problems (3.1)
Standard:
Describe physical and digital security measures for protecting personal information.
Descriptive Statement:
Personal information can be protected physically and digitally. Cybersecurity is the protection from unauthorized use of electronic data, or the measures taken to achieve this. Students identify what personal information is and the reasons for protecting it. Students describe physical and digital approaches for protecting personal information such as using strong passwords and biometric scanners. For example, students could engage in a collaborative discussion orally or in writing regarding topics that relate to personal cybersecurity issues. Discussion topics could be based on current events related to cybersecurity or topics that are applicable to students, such as the necessity of backing up data to guard against loss, how to create strong passwords and the importance of not sharing passwords, or why we should keep operating systems updated and use anti-virus software to protect data and systems. Students could also discuss physical measures that can be used to protect data including biometric scanners, locked doors, and physical backups. (CA CCSS for ELA/Literacy SL.3.1, SL.4.1, SL.5.1)
Describe physical and digital security measures for protecting personal information.
Descriptive Statement:
Personal information can be protected physically and digitally. Cybersecurity is the protection from unauthorized use of electronic data, or the measures taken to achieve this. Students identify what personal information is and the reasons for protecting it. Students describe physical and digital approaches for protecting personal information such as using strong passwords and biometric scanners. For example, students could engage in a collaborative discussion orally or in writing regarding topics that relate to personal cybersecurity issues. Discussion topics could be based on current events related to cybersecurity or topics that are applicable to students, such as the necessity of backing up data to guard against loss, how to create strong passwords and the importance of not sharing passwords, or why we should keep operating systems updated and use anti-virus software to protect data and systems. Students could also discuss physical measures that can be used to protect data including biometric scanners, locked doors, and physical backups. (CA CCSS for ELA/Literacy SL.3.1, SL.4.1, SL.5.1)
Standard Identifier: 3-5.NI.6
Grade Range:
3–5
Concept:
Networks & the Internet
Subconcept:
Cybersecurity
Practice(s):
Developing and Using Abstractions (4.4)
Standard:
Create patterns to protect information from unauthorized access.
Descriptive Statement:
Encryption is the process of converting information or data into a code, especially to prevent unauthorized access. At this level, students use patterns as a code for encryption, to protect information. Patterns should be decodable to the party for whom the message is intended, but difficult or impossible for those with unauthorized access. For example, students could create encrypted messages via flashing a flashlight in Morse code. Other students could decode this established language even if it wasn't meant for them. To model the idea of protecting data, students should create their own variations on or changes to Morse code. This ensures that when a member of that group flashes a message only other members of their group can decode it, even if other students in the room can see it. (CA NGSS: 4-PS4-3) Alternatively, students could engage in a CS Unplugged activity that models public key encryption: One student puts a paper containing a written secret in a box, locks it with a padlock, and hands the box to a second student. Student 2 puts on a second padlock and hands it back. Student 1 removes her lock and hands the box to student 2 again. Student 2 removes his lock, opens the box, and has access to the secret that student 1 sent him. Because the box always contained at least one lock while in transit, an outside party never had the opportunity to see the message and it is protected.
Create patterns to protect information from unauthorized access.
Descriptive Statement:
Encryption is the process of converting information or data into a code, especially to prevent unauthorized access. At this level, students use patterns as a code for encryption, to protect information. Patterns should be decodable to the party for whom the message is intended, but difficult or impossible for those with unauthorized access. For example, students could create encrypted messages via flashing a flashlight in Morse code. Other students could decode this established language even if it wasn't meant for them. To model the idea of protecting data, students should create their own variations on or changes to Morse code. This ensures that when a member of that group flashes a message only other members of their group can decode it, even if other students in the room can see it. (CA NGSS: 4-PS4-3) Alternatively, students could engage in a CS Unplugged activity that models public key encryption: One student puts a paper containing a written secret in a box, locks it with a padlock, and hands the box to a second student. Student 2 puts on a second padlock and hands it back. Student 1 removes her lock and hands the box to student 2 again. Student 2 removes his lock, opens the box, and has access to the secret that student 1 sent him. Because the box always contained at least one lock while in transit, an outside party never had the opportunity to see the message and it is protected.
Standard Identifier: 6-8.AP.10
Grade Range:
6–8
Concept:
Algorithms & Programming
Subconcept:
Algorithms
Practice(s):
Developing and Using Abstractions (4.1, 4.4)
Standard:
Use flowcharts and/or pseudocode to design and illustrate algorithms that solve complex problems.
Descriptive Statement:
Complex problems are problems that would be difficult for students to solve without breaking them down into multiple steps. Flowcharts and pseudocode are used to design and illustrate the breakdown of steps in an algorithm. Students design and illustrate algorithms using pseudocode and/or flowcharts that organize and sequence the breakdown of steps for solving complex problems. For example, students might use a flowchart to illustrate an algorithm that produces a recommendation for purchasing sneakers based on inputs such as size, colors, brand, comfort, and cost. Alternatively, students could write pseudocode to express an algorithm for suggesting their outfit for the day, based on inputs such as the weather, color preferences, and day of the week.
Use flowcharts and/or pseudocode to design and illustrate algorithms that solve complex problems.
Descriptive Statement:
Complex problems are problems that would be difficult for students to solve without breaking them down into multiple steps. Flowcharts and pseudocode are used to design and illustrate the breakdown of steps in an algorithm. Students design and illustrate algorithms using pseudocode and/or flowcharts that organize and sequence the breakdown of steps for solving complex problems. For example, students might use a flowchart to illustrate an algorithm that produces a recommendation for purchasing sneakers based on inputs such as size, colors, brand, comfort, and cost. Alternatively, students could write pseudocode to express an algorithm for suggesting their outfit for the day, based on inputs such as the weather, color preferences, and day of the week.
Standard Identifier: 6-8.AP.12
Grade Range:
6–8
Concept:
Algorithms & Programming
Subconcept:
Control
Practice(s):
Creating Computational Artifacts (5.1, 5.2)
Standard:
Design and iteratively develop programs that combine control structures and use compound conditions.
Descriptive Statement:
Control structures can be combined in many ways. Nested loops are loops placed within loops, and nested conditionals allow the result of one conditional to lead to another. Compound conditions combine two or more conditions in a logical relationship (e.g., using AND, OR, and NOT). Students appropriately use control structures to perform repetitive and selection tasks. For example, when programming an interactive story, students could use a compound conditional within a loop to unlock a door only if a character has a key AND is touching the door. (CA CCSS for ELA/Literacy W.6.3, W.7.3, W.8.3) Alternatively, students could use compound conditionals when writing a program to test whether two points lie along the line defined by a particular linear function. (CA CCSS for Mathematics 8.EE.7) Additionally, students could use nested loops to program a character to do the "chicken dance" by opening and closing the beak, flapping the wings, shaking the hips, and clapping four times each; this dance "chorus" is then repeated several times in its entirety.
Design and iteratively develop programs that combine control structures and use compound conditions.
Descriptive Statement:
Control structures can be combined in many ways. Nested loops are loops placed within loops, and nested conditionals allow the result of one conditional to lead to another. Compound conditions combine two or more conditions in a logical relationship (e.g., using AND, OR, and NOT). Students appropriately use control structures to perform repetitive and selection tasks. For example, when programming an interactive story, students could use a compound conditional within a loop to unlock a door only if a character has a key AND is touching the door. (CA CCSS for ELA/Literacy W.6.3, W.7.3, W.8.3) Alternatively, students could use compound conditionals when writing a program to test whether two points lie along the line defined by a particular linear function. (CA CCSS for Mathematics 8.EE.7) Additionally, students could use nested loops to program a character to do the "chicken dance" by opening and closing the beak, flapping the wings, shaking the hips, and clapping four times each; this dance "chorus" is then repeated several times in its entirety.
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.8
Grade Range:
6–8
Concept:
Data & Analysis
Subconcept:
Collection, Visualization, & Transformation
Practice(s):
Communicating About Computing (7.1)
Standard:
Collect data using computational tools and transform the data to make it more useful.
Descriptive Statement:
Data collection has become easier and more ubiquitous. The cleaning of data is an important transformation for ensuring consistent format, reducing noise and errors (e.g., removing irrelevant responses in a survey), and/or making it easier for computers to process. Students build on their ability to organize and present data visually to support a claim, understanding when and how to transform data so information can be more easily extracted. Students also transform data to highlight or expose relationships. For example, students could use computational tools to collect data from their peers regarding the percentage of time technology is used for school work and entertainment, and then create digital displays of their data and findings. Students could then transform the data to highlight relationships representing males and females as percentages of a whole instead of as individual counts. (CA CCSS for Mathematics 6.SP.4, 7.SP.3, 8.SP.1, 8.SP.4) Alternatively, students could collect data from online forms and surveys, from a sensor, or by scraping a web page, and then transform the data to expose relationships. They could highlight the distribution of data (e.g., words on a web page, readings from a sensor) by giving quantitative measures of center and variability. (CA CCSS for Mathematics 6.SP.5.c, 7.SP.4)
Collect data using computational tools and transform the data to make it more useful.
Descriptive Statement:
Data collection has become easier and more ubiquitous. The cleaning of data is an important transformation for ensuring consistent format, reducing noise and errors (e.g., removing irrelevant responses in a survey), and/or making it easier for computers to process. Students build on their ability to organize and present data visually to support a claim, understanding when and how to transform data so information can be more easily extracted. Students also transform data to highlight or expose relationships. For example, students could use computational tools to collect data from their peers regarding the percentage of time technology is used for school work and entertainment, and then create digital displays of their data and findings. Students could then transform the data to highlight relationships representing males and females as percentages of a whole instead of as individual counts. (CA CCSS for Mathematics 6.SP.4, 7.SP.3, 8.SP.1, 8.SP.4) Alternatively, students could collect data from online forms and surveys, from a sensor, or by scraping a web page, and then transform the data to expose relationships. They could highlight the distribution of data (e.g., words on a web page, readings from a sensor) by giving quantitative measures of center and variability. (CA CCSS for Mathematics 6.SP.5.c, 7.SP.4)
Showing 11 - 20 of 44 Standards
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