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Showing 1 - 10 of 23 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)

Standard Identifier: K-2.AP.13

Grade Range: K–2
Concept: Algorithms & Programming
Subconcept: Modularity
Practice(s): Recognizing and Defining Computational Problems (3.2)

Standard:
Decompose the steps needed to solve a problem into a sequence of instructions.

Descriptive Statement:
Decomposition is the act of breaking down tasks into simpler tasks. For example, students could break down the steps needed to make a peanut butter and jelly sandwich, to brush their teeth, to draw a shape, to move a character across the screen, or to solve a level of a coding app. In a visual programming environment, students could break down the steps needed to draw a shape. (CA CCSS for Mathematics K.G.5, 1.G.1, 2.G.1) Alternatively, students could decompose the planning of a birthday party into tasks such as: 1) Decide when and where it should be, 2) List friends and family to invite, 3) Send the invitations, 4) Bake a cake, 5) Decorate, etc.

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)

Standard Identifier: 3-5.AP.13

Grade Range: 3–5
Concept: Algorithms & Programming
Subconcept: Modularity
Practice(s): Recognizing and Defining Computational Problems (3.2)

Standard:
Decompose problems into smaller, manageable tasks which may themselves be decomposed.

Descriptive Statement:
Decomposition is the act of breaking down tasks into simpler tasks. This manages complexity in the problem solving and program development process. For example, students could create an animation to represent a story they have written. Students write a story and then break it down into different scenes. For each scene, they would select a background, place characters, and program actions in that scene. (CA CCSS for ELA/Literacy W.3.3, W.4.3, W.5.3) Alternatively, students could create a program to allow classmates to present data collected in an experiment. For example, if students collected rain gauge data once per week for 3 months, students could break down the program tasks: 1) ask the user to input 12 weeks' worth of data, 2) process the data (e.g., add the first four entries to calculate the rain amount for month 1, convert to metric system measurements), and 3) direct the creation or resizing of objects (e.g., one rectangular chart bar for each month) to represent the total number of rainfall for that month. (CA NGSS: 3-ETS-1-2) (CA CCSS for Mathematics 3.MD.2)

Standard Identifier: 3-5.AP.14

Grade Range: 3–5
Concept: Algorithms & Programming
Subconcept: Modularity
Practice(s): Developing and Using Abstractions, Creating Computational Artifacts (4.2, 5.3)

Standard:
Create programs by incorporating smaller portions of existing programs, to develop something new or add more advanced features.

Descriptive Statement:
Programs can be broken down into smaller parts, which can be incorporated into new or existing programs. Students incorporate predefined functions into their original designs. At this level, students do not need to understand all of the underlying implementation details of the abstractions that they use. For example, students could use code from a ping pong animation to make a ball bounce in a new basketball game. They could also incorporate code from a single-player basketball game to create a two-player game with slightly different rules. Alternatively, students could remix an animated story and add their own conclusion and/or additional dialogue. (CA CCSS for ELA/Literacy W.3.3.B, W.3.3.D, W.4.3.B, W.4.3.E, W.5.3.B, W.5.3.E) Additionally, when creating a game that occurs on the moon or planets, students could incorporate and modify code that simulates gravity on Earth. They could modify the strength of the gravitational force based on the mass of the planet or moon. (CA NGSS: 5-PS2-1)

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)

Standard Identifier: 6-8.AP.13

Grade Range: 6–8
Concept: Algorithms & Programming
Subconcept: Modularity
Practice(s): Recognizing and Defining Computational Problems (3.2)

Standard:
Decompose problems and subproblems into parts to facilitate the design, implementation, and review of programs.

Descriptive Statement:
Decomposition facilitates program development by allowing students to focus on one piece at a time (e.g., getting input from the user, processing the data, and displaying the result to the user). Decomposition also enables different students to work on different parts at the same time. Students break down (decompose) problems into subproblems, which can be further broken down to smaller parts. Students could create an arcade game, with a title screen, a game screen, and a win/lose screen with an option to play the game again. To do this, students need to identify subproblems that accompany each screen (e.g., selecting an avatar goes in the title screen, events for controlling character action and scoring goes in the game screen, and displaying final and high score and asking whether to play again goes in the win/lose screen). Alternatively, students could decompose the problem of calculating and displaying class grades. Subproblems might include: accept input for students grades on various assignments, check for invalid grade entries, calculate per assignment averages, calculate per student averages, and display histograms of student scores for each assignment. (CA CCSS for Mathematics 6.RP.3c, 6.SP.4, 6.SP.5)

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.NI.5

Grade Range: 6–8
Concept: Networks & the Internet
Subconcept: Cybersecurity
Practice(s): Recognizing and Defining Computational Problems (3.1, 3.3)

Standard:
Explain potential security threats and security measures to mitigate threats.

Descriptive Statement:
Cybersecurity is an important field of study and it is valuable for students to understand the need for protecting sensitive data. Students identify multiple methods for protecting data and articulate the value and appropriateness for each method. Students are not expected to implement or explain the implementation of such technologies. For example, students could explain the importance of keeping passwords hidden, setting secure router administrator passwords, erasing a storage device before it is reused, and using firewalls to restrict access to private networks. Alternatively, students could explain the importance of two-factor authentication and HTTPS connections to ensure secure data transmission.

Standard Identifier: 9-12.AP.12

Grade Range: 9–12
Concept: Algorithms & Programming
Subconcept: Algorithms
Practice(s): Developing and Using Abstractions, Creating Computational Artifacts (4.2, 5.1)

Standard:
Design algorithms to solve computational problems using a combination of original and existing algorithms.

Descriptive Statement:
Knowledge of common algorithms improves how people develop software, secure data, and store information. Some algorithms may be easier to implement in a particular programming language, work faster, require less memory to store data, and be applicable in a wider variety of situations than other algorithms. Algorithms used to search and sort data are common in a variety of software applications. For example, students could design an algorithm to calculate and display various sports statistics and use common sorting or mathematical algorithms (e.g., average) in the design of the overall algorithm. Alternatively, students could design an algorithm to implement a game and use existing randomization algorithms to place pieces randomly in starting positions or to control the "roll" of a dice or selection of a "card" from a deck.

Showing 1 - 10 of 23 Standards


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