Computer Science Standards
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Showing 1 - 5 of 5 Standards
Standard Identifier: K-2.IC.19
Grade Range:
K–2
Concept:
Impacts of Computing
Subconcept:
Social Interactions
Practice(s):
Collaborating Around Computing (2.1)
Standard:
Work respectfully and responsibly with others when communicating electronically.
Descriptive Statement:
Electronic communication facilitates positive interactions, such as sharing ideas with many people, but the public and anonymous nature of electronic communication also allows intimidating and inappropriate behavior in the form of cyberbullying. Responsible electronic communication includes limiting access to personably identifiable information. Students learn and use appropriate behavior when communicating electronically (often called "netiquette"). For example, students could share their work on a classroom blog or in other collaborative spaces online, taking care to avoid sharing information that is inappropriate or that could personally identify themselves to others. (CA CCSS for ELA/Literacy W.K.6, W.1.6, W.21.6) Alternatively, students could provide feedback to others on their work in a kind and respectful manner. They could learn how written words can be easily misinterpreted and may seem negative when the intention may be to express confusion, give ideas, or prompt further discussion. They could also learn to identify harmful behavior on collaborative spaces and intervening to find the proper authority to help. (CA CCSS for ELA/Literacy W.K.5, W.1.5, W.2.5) (HSS 1.1.2)
Work respectfully and responsibly with others when communicating electronically.
Descriptive Statement:
Electronic communication facilitates positive interactions, such as sharing ideas with many people, but the public and anonymous nature of electronic communication also allows intimidating and inappropriate behavior in the form of cyberbullying. Responsible electronic communication includes limiting access to personably identifiable information. Students learn and use appropriate behavior when communicating electronically (often called "netiquette"). For example, students could share their work on a classroom blog or in other collaborative spaces online, taking care to avoid sharing information that is inappropriate or that could personally identify themselves to others. (CA CCSS for ELA/Literacy W.K.6, W.1.6, W.21.6) Alternatively, students could provide feedback to others on their work in a kind and respectful manner. They could learn how written words can be easily misinterpreted and may seem negative when the intention may be to express confusion, give ideas, or prompt further discussion. They could also learn to identify harmful behavior on collaborative spaces and intervening to find the proper authority to help. (CA CCSS for ELA/Literacy W.K.5, W.1.5, W.2.5) (HSS 1.1.2)
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: 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.
Standard Identifier: 9-12.IC.27
Grade Range:
9–12
Concept:
Impacts of Computing
Subconcept:
Social Interactions
Practice(s):
Collaborating Around Computing (2.4)
Standard:
Use collaboration tools and methods to increase connectivity with people of different cultures and careers.
Descriptive Statement:
Increased digital connectivity and communication between people across a variety of cultures and in differing professions has changed the collaborative nature of personal and professional interaction. Students identify, explain, and use appropriate collaborative tools. For example, students could compare ways that various technological collaboration tools could help a team become more cohesive and then choose one of these tools to manage their teamwork. Alternatively, students could use different collaborative tools and methods to solicit input from not only team members and classmates but also others, such as participants in online forums or local communities.
Use collaboration tools and methods to increase connectivity with people of different cultures and careers.
Descriptive Statement:
Increased digital connectivity and communication between people across a variety of cultures and in differing professions has changed the collaborative nature of personal and professional interaction. Students identify, explain, and use appropriate collaborative tools. For example, students could compare ways that various technological collaboration tools could help a team become more cohesive and then choose one of these tools to manage their teamwork. Alternatively, students could use different collaborative tools and methods to solicit input from not only team members and classmates but also others, such as participants in online forums or local communities.
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