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Computer Science Standards




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Showing 11 - 20 of 22 Standards

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: 6-8.IC.23

Grade Range: 6–8
Concept: Impacts of Computing
Subconcept: Safety, Law, & Ethics
Practice(s): Communicating About Computing (7.3)

Standard:
Compare tradeoffs associated with licenses for computational artifacts to balance the protection of the creators' rights and the ability for others to use and modify the artifacts.

Descriptive Statement:
Using and building on the works of others allows people to create meaningful works and fosters innovation. Copyright is an important law that helps protect the rights of creators so they receive credit and get paid for their work. Creative Commons is a kind of copyright that makes it easier for people to copy, share, and build on creative work, as long as they give credit for it. There are different kinds of Creative Commons licenses that allow people to do things such as change, remix, or make money from their work. As creators, students can pick and choose how they want their work to be used, and then create a Creative Commons license that they include in their work. For example, students could create interactive animations to educate others on bullying or protecting the environment. They then select an appropriate license to reflect how they want their program to be used by others (e.g., allow others to use their work and alter it, as long as they do not make a profit from it). Students use established methods to both protect their artifacts and attribute use of protected artifacts.

Standard Identifier: 6-8.IC.24

Grade Range: 6–8
Concept: Impacts of Computing
Subconcept: Safety, Law, & Ethics
Practice(s): Communicating About Computing (7.2)

Standard:
Compare tradeoffs between allowing information to be public and keeping information private and secure.

Descriptive Statement:
While it is valuable to establish, maintain, and strengthen connections between people online, security attacks often start with intentionally or unintentionally providing personal information online. Students identify situations where the value of keeping information public outweighs privacy concerns, and vice versa. They also recognize practices such as phishing and social engineering and explain best practices to defend against them. For example, students could discuss the benefits of artists and designers displaying their work online to reach a broader audience. Students could also compare the tradeoffs of making a shared file accessible to anyone versus restricting it to specific accounts. (CA CCSS for ELA/Literacy SL.6.1, SL.7.1, SL.8.1) Alternatively, students could discuss the benefits and dangers of the increased accessibility of information available on the internet, and then compare this to the advantages and disadvantages of the introduction of the printing press in society. (HSS.7.8.4)

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.

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.

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: 9-12.IC.28

Grade Range: 9–12
Concept: Impacts of Computing
Subconcept: Safety, Law, & Ethics
Practice(s): Communicating About Computing (7.3)

Standard:
Explain the beneficial and harmful effects that intellectual property laws can have on innovation.

Descriptive Statement:
Laws and ethics govern aspects of computing such as privacy, data, property, information, and identity. Students explain the beneficial and harmful effects of intellectual property laws as they relate to potential innovations and governance. For example, students could explain how patents protect inventions but may limit innovation. Alternatively, students could explain how intellectual property laws requiring that artists be paid for use of their media might limit the choice of songs developers can use in their computational artifacts.

Standard Identifier: 9-12.IC.29

Grade Range: 9–12
Concept: Impacts of Computing
Subconcept: Safety, Law, & Ethics
Practice(s): Communicating About Computing (7.2)

Standard:
Explain the privacy concerns related to the collection and generation of data through automated processes.

Descriptive Statement:
Data can be collected and aggregated across millions of people, even when they are not actively engaging with or physically near the data collection devices. Students recognize automated and non-evident collection of information and the privacy concerns they raise for individuals. For example, students could explain the impact on an individual when a social media site's security settings allows for mining of account information even when the user is not online. Alternatively, students could discuss the impact on individuals of using surveillance video in a store to track customers. Additionally, students could discuss how road traffic can be monitored to change signals in real time to improve road efficiency without drivers being aware and discuss policies for retaining data that identifies drivers' cars and their behaviors.

Standard Identifier: 9-12.IC.30

Grade Range: 9–12
Concept: Impacts of Computing
Subconcept: Safety, Law, & Ethics
Practice(s): Communicating About Computing (7.2)

Standard:
Evaluate the social and economic implications of privacy in the context of safety, law, or ethics.

Descriptive Statement:
Laws govern many aspects of computing, such as privacy, data, property, information, and identity. International differences in laws and ethics have implications for computing. Students make and justify claims about potential and/or actual privacy implications of policies, laws, or ethics and consider the associated tradeoffs, focusing on society and the economy. For example, students could explore the case of companies tracking online shopping behaviors in order to decide which products to target to consumers. Students could evaluate the ethical and legal dilemmas of collecting such data without consumer knowledge in order to profit companies. Alternatively, students could evaluate the implications of net neutrality laws on society's access to information and on the impacts to businesses of varying sizes.

Standard Identifier: 9-12S.AP.14

Grade Range: 9–12 Specialty
Concept: Algorithms & Programming
Subconcept: Variables
Practice(s): Developing and Using Abstractions (4.2)

Standard:
Compare and contrast fundamental data structures and their uses.

Descriptive Statement:
Data structures are designed to provide different ways of storing and manipulating data sets to optimize various aspects of storage or runtime performance. Choice of data structures is made based on expected data characteristics and expected program functions. Students = compare and contrast how basic functions (e.g.., insertion, deletion, and modification) would differ for common data structures including lists, arrays, stacks, and queues. For example, students could draw a diagram of how different data structures change when items are added, deleted, or modified. They could explain tradeoffs in storage and efficiency issues. Alternatively, when presented with a description of a program and the functions it would be most likely to be running, students could list pros and cons for a specific data structure use in that scenario.

Showing 11 - 20 of 22 Standards


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