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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)

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)

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)

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.

Standard Identifier: 9-12S.AP.15

Grade Range: 9–12 Specialty
Concept: Algorithms & Programming
Subconcept: Control
Practice(s): Recognizing and Defining Computational Problems, Communicating About Computing (3.2, 7.2)

Standard:
Demonstrate the flow of execution of a recursive algorithm.

Descriptive Statement:
Recursion is a powerful problem-solving approach where the problem solution is built on solutions of smaller instances of the same problem. A base case, which returns a result without referencing itself, must be defined, otherwise infinite recursion will occur. Students represent a sequence of calls to a recursive algorithm and show how the process resolves to a solution. For example, students could draw a diagram to illustrate flow of execution by keeping track of parameter and returned values for each recursive call. Alternatively, students could create a video showing the passing of arguments as the recursive algorithm runs.

Questions: Curriculum Frameworks and Instructional Resources Division | CFIRD@cde.ca.gov | 916-319-0881