Computer Science Standards
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Showing 1 - 8 of 8 Standards
Standard Identifier: K-2.AP.10
Grade Range:
K–2
Concept:
Algorithms & Programming
Subconcept:
Algorithms
Practice(s):
Recognizing and Defining Computational Problems, Developing and Using Abstractions (3.2, 4.4)
Standard:
Model daily processes by creating and following algorithms to complete tasks.
Descriptive Statement:
Algorithms are sequences of instructions that describe how to complete a specific task. Students create algorithms that reflect simple life tasks inside and outside of the classroom. For example, students could create algorithms to represent daily routines for getting ready for school, transitioning through center rotations, eating lunch, and putting away art materials. Students could then write a narrative sequence of events. (CA CCSS for ELA/Literacy W.K.3, W.1.3, W.2.3) Alternatively, students could create a game or a dance with a specific set of movements to reach an intentional goal or objective. (P.E K.2, 1.2, 2.2) Additionally, students could create a map of their neighborhood and give step-by-step directions of how they get to school. (HSS.K.4, 1.2, 2.2)
Model daily processes by creating and following algorithms to complete tasks.
Descriptive Statement:
Algorithms are sequences of instructions that describe how to complete a specific task. Students create algorithms that reflect simple life tasks inside and outside of the classroom. For example, students could create algorithms to represent daily routines for getting ready for school, transitioning through center rotations, eating lunch, and putting away art materials. Students could then write a narrative sequence of events. (CA CCSS for ELA/Literacy W.K.3, W.1.3, W.2.3) Alternatively, students could create a game or a dance with a specific set of movements to reach an intentional goal or objective. (P.E K.2, 1.2, 2.2) Additionally, students could create a map of their neighborhood and give step-by-step directions of how they get to school. (HSS.K.4, 1.2, 2.2)
Standard Identifier: 3-5.AP.10
Grade Range:
3–5
Concept:
Algorithms & Programming
Subconcept:
Algorithms
Practice(s):
Recognizing and Defining Computational Problems, Testing and Refining Computational Artifacts (3.3, 6.3)
Standard:
Compare and refine multiple algorithms for the same task and determine which is the most appropriate.
Descriptive Statement:
Different algorithms can achieve the same result, though sometimes one algorithm might be more appropriate for a specific solution. Students examine different ways to solve the same task and decide which would be the better solution for the specific scenario. For example, students could use a map and create multiple algorithms to model the early land and sea routes to and from European settlements in California. They could then compare and refine their algorithms to reflect faster travel times, shorter distances, or avoid specific characteristics, such as mountains, deserts, ocean currents, and wind patterns. (HSS.4.2.2) Alternatively, students could identify multiple algorithms for decomposing a fraction into a sum of fractions with the same denominator and record each decomposition with an equation (e.g., 2 1/8 = 1 + 1 + 1/8 = 8/8 + 8/8 + 1/8). Students could then select the most efficient algorithm (e.g., fewest number of steps). (CA CCSS for Mathematics 4.NF.3b) Additionally, students could compare algorithms that describe how to get ready for school and modify them for supporting different goals including having time to care for a pet, being able to talk with a friend before classes start, or taking a longer route to school to accompany a younger sibling to their school first. Students could then write an opinion piece, justifying with reasons their selected algorithm is most appropriate. (CA CCSS for ELA/Literacy W.3.1, W.4.1, W.5.1)
Compare and refine multiple algorithms for the same task and determine which is the most appropriate.
Descriptive Statement:
Different algorithms can achieve the same result, though sometimes one algorithm might be more appropriate for a specific solution. Students examine different ways to solve the same task and decide which would be the better solution for the specific scenario. For example, students could use a map and create multiple algorithms to model the early land and sea routes to and from European settlements in California. They could then compare and refine their algorithms to reflect faster travel times, shorter distances, or avoid specific characteristics, such as mountains, deserts, ocean currents, and wind patterns. (HSS.4.2.2) Alternatively, students could identify multiple algorithms for decomposing a fraction into a sum of fractions with the same denominator and record each decomposition with an equation (e.g., 2 1/8 = 1 + 1 + 1/8 = 8/8 + 8/8 + 1/8). Students could then select the most efficient algorithm (e.g., fewest number of steps). (CA CCSS for Mathematics 4.NF.3b) Additionally, students could compare algorithms that describe how to get ready for school and modify them for supporting different goals including having time to care for a pet, being able to talk with a friend before classes start, or taking a longer route to school to accompany a younger sibling to their school first. Students could then write an opinion piece, justifying with reasons their selected algorithm is most appropriate. (CA CCSS for ELA/Literacy W.3.1, W.4.1, W.5.1)
Standard Identifier: 3-5.AP.15
Grade Range:
3–5
Concept:
Algorithms & Programming
Subconcept:
Program Development
Practice(s):
Fostering an Inclusive Computing Culture, Creating Computational Artifacts (1.1, 5.1)
Standard:
Use an iterative process to plan and develop a program by considering the perspectives and preferences of others.
Descriptive Statement:
Planning is an important part of the iterative process of program development. Students gain a basic understanding of the importance and process of planning before beginning to write code for a program. They plan the development of a program by outlining key features, time and resource constraints, and user expectations. Students should document the plan as, for example, a storyboard, flowchart, pseudocode, or story map. For example, students could collaborate with a partner to plan and develop a program that graphs a function. They could iteratively modify the program based on feedback from diverse users, such as students who are color blind and may have trouble differentiating lines on a graph based on the color. (CA CCSS for Mathematics 5.G.1, 5.G.2) Alternatively, students could plan as a team to develop a program to display experimental data. They could implement the program in stages, generating basic displays first and then soliciting feedback from others on how easy it is to interpret (e.g., are labels clear and readable?, are lines thick enough?, are titles understandable?). Students could iteratively improve their display to make it more readable and to better support the communication of the finding of the experiment. (NGSS.3-5-ETS1-1, 3-5-ETS1-2, 3-5-ETS1-3)
Use an iterative process to plan and develop a program by considering the perspectives and preferences of others.
Descriptive Statement:
Planning is an important part of the iterative process of program development. Students gain a basic understanding of the importance and process of planning before beginning to write code for a program. They plan the development of a program by outlining key features, time and resource constraints, and user expectations. Students should document the plan as, for example, a storyboard, flowchart, pseudocode, or story map. For example, students could collaborate with a partner to plan and develop a program that graphs a function. They could iteratively modify the program based on feedback from diverse users, such as students who are color blind and may have trouble differentiating lines on a graph based on the color. (CA CCSS for Mathematics 5.G.1, 5.G.2) Alternatively, students could plan as a team to develop a program to display experimental data. They could implement the program in stages, generating basic displays first and then soliciting feedback from others on how easy it is to interpret (e.g., are labels clear and readable?, are lines thick enough?, are titles understandable?). Students could iteratively improve their display to make it more readable and to better support the communication of the finding of the experiment. (NGSS.3-5-ETS1-1, 3-5-ETS1-2, 3-5-ETS1-3)
Standard Identifier: 6-8.AP.15
Grade Range:
6–8
Concept:
Algorithms & Programming
Subconcept:
Program Development
Practice(s):
Fostering an Inclusive Computing Culture, Collaborating Around Computing (1.1, 2.3)
Standard:
Seek and incorporate feedback from team members and users to refine a solution that meets user needs.
Descriptive Statement:
Development teams that employ user-centered design processes create solutions (e.g., programs and devices) that can have a large societal impact (e.g., an app that allows people with speech difficulties to allow a smartphone to clarify their speech). Students begin to seek diverse perspectives throughout the design process to improve their computational artifacts. Considerations of the end-user may include usability, accessibility, age-appropriate content, respectful language, user perspective, pronoun use, or color contrast. For example, if students are designing an app to teach their classmates about recycling, they could first interview or survey their classmates to learn what their classmates already know about recycling and why they do or do not recycle. After building a prototype of the app, the students could then test the app with a sample of their classmates to see if they learned anything from the app and if they had difficulty using the app (e.g., trouble reading or understanding text). After gathering interview data, students could refine the app to meet classmate needs. (CA NGSS: MS-ETS1-4)
Seek and incorporate feedback from team members and users to refine a solution that meets user needs.
Descriptive Statement:
Development teams that employ user-centered design processes create solutions (e.g., programs and devices) that can have a large societal impact (e.g., an app that allows people with speech difficulties to allow a smartphone to clarify their speech). Students begin to seek diverse perspectives throughout the design process to improve their computational artifacts. Considerations of the end-user may include usability, accessibility, age-appropriate content, respectful language, user perspective, pronoun use, or color contrast. For example, if students are designing an app to teach their classmates about recycling, they could first interview or survey their classmates to learn what their classmates already know about recycling and why they do or do not recycle. After building a prototype of the app, the students could then test the app with a sample of their classmates to see if they learned anything from the app and if they had difficulty using the app (e.g., trouble reading or understanding text). After gathering interview data, students could refine the app to meet classmate needs. (CA NGSS: MS-ETS1-4)
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.
Standard Identifier: 9-12S.AP.10
Grade Range:
9–12 Specialty
Concept:
Algorithms & Programming
Subconcept:
Algorithms
Practice(s):
Recognizing and Defining Computational Problems, Communicating About Computing (3.1, 7.2)
Standard:
Describe how artificial intelligence drives many software and physical systems.
Descriptive Statement:
Artificial intelligence is a sub-discipline of computer science that enables computers to solve problems previously handled by biological systems. There are many applications of artificial intelligence, including computer vision and speech recognition. Students research and explain how artificial intelligence has been employed in a given system. Students are not expected to implement an artificially intelligent system in order to meet this standard. For example, students could observe an artificially intelligent system and notice where its behavior is not human-like, such as when a character in a videogame makes a mistake that a human is unlikely to make, or when a computer easily beats even the best human players at a given game. Alternatively, students could interact with a search engine asking various questions, and after reading articles on the topic, they could explain how the computer is able to respond to queries.
Describe how artificial intelligence drives many software and physical systems.
Descriptive Statement:
Artificial intelligence is a sub-discipline of computer science that enables computers to solve problems previously handled by biological systems. There are many applications of artificial intelligence, including computer vision and speech recognition. Students research and explain how artificial intelligence has been employed in a given system. Students are not expected to implement an artificially intelligent system in order to meet this standard. For example, students could observe an artificially intelligent system and notice where its behavior is not human-like, such as when a character in a videogame makes a mistake that a human is unlikely to make, or when a computer easily beats even the best human players at a given game. Alternatively, students could interact with a search engine asking various questions, and after reading articles on the topic, they could explain how the computer is able to respond to queries.
Standard Identifier: 9-12S.AP.11
Grade Range:
9–12 Specialty
Concept:
Algorithms & Programming
Subconcept:
Algorithms
Practice(s):
Recognizing and Defining Computational Problems, Creating Computational Artifacts (3.1, 5.3)
Standard:
Implement an algorithm that uses artificial intelligence to overcome a simple challenge.
Descriptive Statement:
Artificial intelligence algorithms allow a computer to perceive and move in the world, use knowledge, and engage in problem solving. Students create a computational artifact that is able to carry out a simple task commonly performed by living organisms. Students do not need to realistically simulate human behavior or solve a complex problem in order to meet this standard. For example, students could implement an algorithm for playing tic-tac-toe that would select an appropriate location for the next move. Alternatively, students could implement an algorithm that allows a solar-powered robot to move to a sunny location when its batteries are low.
Implement an algorithm that uses artificial intelligence to overcome a simple challenge.
Descriptive Statement:
Artificial intelligence algorithms allow a computer to perceive and move in the world, use knowledge, and engage in problem solving. Students create a computational artifact that is able to carry out a simple task commonly performed by living organisms. Students do not need to realistically simulate human behavior or solve a complex problem in order to meet this standard. For example, students could implement an algorithm for playing tic-tac-toe that would select an appropriate location for the next move. Alternatively, students could implement an algorithm that allows a solar-powered robot to move to a sunny location when its batteries are low.
Standard Identifier: 9-12S.AP.13
Grade Range:
9–12 Specialty
Concept:
Algorithms & Programming
Subconcept:
Algorithms
Practice(s):
Recognizing and Defining Computational Problems (3.3)
Standard:
Evaluate algorithms in terms of their efficiency.
Descriptive Statement:
Algorithms that perform the same task can be implemented in different ways, which take different amounts of time to run on a given input set. Algorithms are commonly evaluated using asymptotic analysis (i.e., “Big O”) which involves exploration of behavior when the input set grows very large. Students classify algorithms by the most common time classes (e.g., log n, linear, n log n, and quadratic or higher). For example, students could read a given algorithm, identify the control constructs, and in conjunction with input size, identify the efficiency class of the algorithm.
Evaluate algorithms in terms of their efficiency.
Descriptive Statement:
Algorithms that perform the same task can be implemented in different ways, which take different amounts of time to run on a given input set. Algorithms are commonly evaluated using asymptotic analysis (i.e., “Big O”) which involves exploration of behavior when the input set grows very large. Students classify algorithms by the most common time classes (e.g., log n, linear, n log n, and quadratic or higher). For example, students could read a given algorithm, identify the control constructs, and in conjunction with input size, identify the efficiency class of the algorithm.
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