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Computer Science Standards




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Showing 1 - 10 of 15 Standards

Standard Identifier: K-2.AP.16

Grade Range: K–2
Concept: Algorithms & Programming
Subconcept: Program Development
Practice(s): Testing and Refining Computational Artifacts (6.2)

Standard:
Debug errors in an algorithm or program that includes sequences and simple loops.

Descriptive Statement:
Algorithms or programs may not always work correctly. Students use various strategies, such as changing the sequence of the steps, following the algorithm in a step-by-step manner, or trial and error to fix problems in algorithms and programs. For example, when given images placed in a random order, students could give step-by-step commands to direct a robot, or a student playing a robot, to navigate to the images in the correct sequence. Examples of images include storyboard cards from a familiar story (CA CCSS for ELA/Literacy RL.K.2, RL.1.2, RL.2.2) and locations of the sun at different times of the day (CA NGSS: 1-ESS1-1). Alternatively, students could "program" the teacher or another classmate by giving precise instructions to make a peanut butter and jelly sandwich or navigate around the classroom. When the teacher or classmate doesn't respond as intended, students correct their commands. Additionally, students could receive a partially completed soundboard program that has a variety of animals programmed to play a corresponding sound when the user touches them. Students correct any sounds that don't match the animal (e.g., if the cat moos, students change the moo sound to meow).

Standard Identifier: K-2.DA.9

Grade Range: K–2
Concept: Data & Analysis
Subconcept: Inference & Models
Practice(s): Developing and Using Abstractions (4.1)

Standard:
Identify and describe patterns in data visualizations, such as charts or graphs, to make predictions.

Descriptive Statement:
Data can be used to make inferences or predictions about the world. For example, students could record the number of each color of candy in a small packet. Then, they compare their individual data with classmates. Students could use the collected data to predict how many of each colored candy will be in a full size bag of like candy. (CA CCSS for Mathematics K.MD.3, 1.MD.4, 2.MD.10) Alternatively, students could sort and classify objects according to their properties and note observations. Students could then create a graph or chart of their observations and look for connections/relationships (e.g., items that are hard are usually also smooth, or items that are fluffy are usually also light in weight.) Students then look at pictures of additional objects and make predictions regarding the properties of the objects pictured. (CA NGSS: 2-PS1-1, 2-PS1-2)

Standard Identifier: 3-5.AP.17

Grade Range: 3–5
Concept: Algorithms & Programming
Subconcept: Program Development
Practice(s): Testing and Refining Computational Artifacts (6.2)

Standard:
Test and debug a program or algorithm to ensure it accomplishes the intended task.

Descriptive Statement:
Programs do not always run properly. Students need to understand how to test and make necessary corrections to their programs to ensure they run properly. Students successfully identify and fix errors in (debug) their programs and programs created by others. Debugging strategies at this level may include testing to determine the first place the solution is in error and fixing accordingly, leaving "breadcrumbs" in a program, and soliciting assistance from peers and online resources. For example, when students are developing a program to control the movement of a robot in a confined space, students test various inputs that control movement of the robot to make sure it behaves as intended (e.g., if an input would cause the robot to move past a wall of the confined space, it should not move at all). (CA NGSS: 3-5-ETS1-3) Additionally, students could test and debug an algorithm by tracing the inputs and outputs on a whiteboard. When noticing "bugs" (errors), students could identify what was supposed to happen and step through the algorithm to locate and then correct the error.

Standard Identifier: 3-5.CS.2

Grade Range: 3–5
Concept: Computing Systems
Subconcept: Hardware & Software
Practice(s): Developing and Using Abstractions (4.4)

Standard:
Demonstrate how computer hardware and software work together as a system to accomplish tasks.

Descriptive Statement:
Hardware and software are both needed to accomplish tasks with a computing device. Students create a model to illustrate ways in which hardware and software work as a system. Students could draw a model on paper or in a drawing program, program an animation to demonstrate it, or demonstrate it by acting this out in some way. At this level, a model should only include the basic elements of a computer system, such as input, output, processor, sensors, and storage. For example, students could create a diagram or flow chart to indicate how a keyboard, desktop computer, monitor, and word processing software interact with each other. The keyboard (hardware) detects a key press, which the operating system and word processing application (software) displays as a new character that has been inserted into the document and is visible through the monitor (hardware). Students could also create a model by acting out the interactions of these different hardware and software components. Alternatively, when describing that animals and people receive different types of information through their senses, process the information in their brain, and respond to the information in different ways, students could compare this to the interaction of how the information traveling through a computer from mouse to processor are similar to signals sent through the nervous system telling our brain about the world around us to prompt responses. (CA NGSS: 4-LS1-2)

Standard Identifier: 6-8.AP.16

Grade Range: 6–8
Concept: Algorithms & Programming
Subconcept: Program Development
Practice(s): Developing and Using Abstractions, Creating Computational Artifacts, Communicating About Computing (4.2, 5.2, 7.3)

Standard:
Incorporate existing code, media, and libraries into original programs, and give attribution.

Descriptive Statement:
Building on the work of others enables students to produce more interesting and powerful creations. Students use portions of code, algorithms, digital media, and/or data created by others in their own programs and websites. They give attribution to the original creators to acknowledge their contributions. For example, when creating a side-scrolling game, students may incorporate portions of code that create a realistic jump movement from another person's game, and they may also import Creative Commons-licensed images to use in the background. Alternatively, when creating a website to demonstrate their knowledge of historical figures from the Civil War, students may use a professionally-designed template and public domain images of historical figures. (HSS.8.10.5) Additionally, students could import libraries and connect to web application program interfaces (APIs) to make their own programming processes more efficient and reduce the number of bugs (e.g., to check whether the user input is a valid date, to input the current temperature from another city).

Standard Identifier: 6-8.AP.17

Grade Range: 6–8
Concept: Algorithms & Programming
Subconcept: Program Development
Practice(s): Testing and Refining Computational Artifacts (6.1)

Standard:
Systematically test and refine programs using a range of test cases.

Descriptive Statement:
Use cases and test cases are created to evaluate whether programs function as intended. At this level, students develop use cases and test cases with teacher guidance. Testing should become a deliberate process that is more iterative, systematic, and proactive than at lower levels. For example, students test programs by considering potential errors, such as what will happen if a user enters invalid input (e.g., negative numbers and 0 instead of positive numbers). Alternatively, in an interactive program, students could test that the character cannot move off of the screen in any direction, cannot move through walls, and can interact with other characters. They then adjust character behavior as needed.

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)

Standard Identifier: 9-12.AP.20

Grade Range: 9–12
Concept: Algorithms & Programming
Subconcept: Program Development
Practice(s): Testing and Refining Computational Artifacts (6.3)

Standard:
Iteratively evaluate and refine a computational artifact to enhance its performance, reliability, usability, and accessibility.

Descriptive Statement:
Evaluation and refinement of computational artifacts involves measuring, testing, debugging, and responding to the changing needs and expectations of users. Aspects that can be evaluated include correctness, performance, reliability, usability, and accessibility. For example, after witnessing common errors with user input in a computational artifact, students could refine the artifact to validate user input and provide an error message if invalid data is provided. Alternatively, students could observe a robot in a variety of lighting conditions to determine whether the code controlling a light sensor should be modified to make it less sensitive. Additionally, students could also incorporate feedback from a variety of end users to help guide the size and placement of menus and buttons in a user interface.

Standard Identifier: 9-12.CS.2

Grade Range: 9–12
Concept: Computing Systems
Subconcept: Hardware & Software
Practice(s): Developing and Using Abstractions (4.1)

Standard:
Compare levels of abstraction and interactions between application software, system software, and hardware.

Descriptive Statement:
At its most basic level, a computer is composed of physical hardware on which software runs. Multiple layers of software are built upon various layers of hardware. Layers manage interactions and complexity in the computing system. System software manages a computing device's resources so that software can interact with hardware. Application software communicates with the user and the system software to accomplish its purpose. Students compare and describe how application software, system software, and hardware interact. For example, students could compare how various levels of hardware and software interact when a picture is to be taken on a smartphone. Systems software provides low-level commands to operate the camera hardware, but the application software interacts with system software at a higher level by requesting a common image file format (e.g., .png) that the system software provides.

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.

Showing 1 - 10 of 15 Standards


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