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Showing 1 - 10 of 11 Standards

Standard Identifier: K-2.AP.12

Grade Range: K–2
Concept: Algorithms & Programming
Subconcept: Control
Practice(s): Creating Computational Artifacts (5.2)

Standard:
Create programs with sequences of commands and simple loops, to express ideas or address a problem.

Descriptive Statement:
People create programs by composing sequences of commands that specify the precise order in which instructions should be executed. Loops enable programs to repeat a sequence of commands multiple times. For example, students could follow simple movements in response to oral instructions. Students could then create a simple sequence of movement commands in response to a given problem (e.g., In how many ways can you travel from point A to point B?) and represent it as a computer program, using loops to repeat commands. (VAPA Dance K.1.4, 1.2.3, 1.2.5, 1.2.8, 2.2.1, 2.2.2, 2.2.3) Alternatively, on a mat with many different CVC words, students could program robots to move to words with a similar vowel sound. Students could look for multiple ways to solve the problem and simplify their solution by incorporating loops. (CA CCSS for ELA/Literacy RF.K.2.D, RF.1.2.C)

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.12

Grade Range: 3–5
Concept: Algorithms & Programming
Subconcept: Control
Practice(s): Creating Computational Artifacts (5.2)

Standard:
Create programs that include events, loops, and conditionals.

Descriptive Statement:
Control structures specify the order (sequence) in which instructions are executed within a program and can be combined to support the creation of more complex programs. Events allow portions of a program to run based on a specific action. Conditionals allow for the execution of a portion of code in a program when a certain condition is true. Loops allow for the repetition of a sequence of code multiple times. For example, students could program an interactive map of the United States of America. They could use events to initiate a question when the user clicks on a state and conditionals to check whether the user input is correct. They could use loops to repeat the question until the user answers correctly or to control the length of a "congratulations" scenario that plays after a correct answer. (HSS.5.9) Alternatively, students could write a math fluency game that asks products of two one-digit numbers and then uses a conditional to check whether or not the answer that was entered is correct. They could use a loop to repeatedly ask another question. They could use events to allow the user to click on a green button to play again or a red button to end the game. (CA CCSS for Mathematics 3.OA.7) Additionally, students could create a program as a role-playing game based on a literary work. Loops could be used to animate a character's movement. When reaching a decision point in the story, an event could initiate the user to type a response. A conditional could change the setting or have the story play out differently based on the user input. (CA CCSS for ELA/Literacy RL.5.3)

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.AP.12

Grade Range: 6–8
Concept: Algorithms & Programming
Subconcept: Control
Practice(s): Creating Computational Artifacts (5.1, 5.2)

Standard:
Design and iteratively develop programs that combine control structures and use compound conditions.

Descriptive Statement:
Control structures can be combined in many ways. Nested loops are loops placed within loops, and nested conditionals allow the result of one conditional to lead to another. Compound conditions combine two or more conditions in a logical relationship (e.g., using AND, OR, and NOT). Students appropriately use control structures to perform repetitive and selection tasks. For example, when programming an interactive story, students could use a compound conditional within a loop to unlock a door only if a character has a key AND is touching the door. (CA CCSS for ELA/Literacy W.6.3, W.7.3, W.8.3) Alternatively, students could use compound conditionals when writing a program to test whether two points lie along the line defined by a particular linear function. (CA CCSS for Mathematics 8.EE.7) Additionally, students could use nested loops to program a character to do the "chicken dance" by opening and closing the beak, flapping the wings, shaking the hips, and clapping four times each; this dance "chorus" is then repeated several times in its entirety.

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.14

Grade Range: 9–12
Concept: Algorithms & Programming
Subconcept: Control
Practice(s): Creating Computational Artifacts (5.2)

Standard:
Justify the selection of specific control structures by identifying tradeoffs associated with implementation, readability, and performance.

Descriptive Statement:
The selection of control structures in a given programming language impacts readability and performance. Readability refers to how clear the program is to other programmers and can be improved through documentation. Control structures at this level may include, for example, conditional statements, loops, event handlers, and recursion. Students justify control structure selection and tradeoffs in the process of creating their own computational artifacts. The discussion of performance is limited to a theoretical understanding of execution time and storage requirements; a quantitative analysis is not expected. For example, students could compare the readability and program performance of iterative and recursive implementations of procedures that calculate the Fibonacci sequence. Alternatively, students could compare the readability and performance tradeoffs of multiple if statements versus a nested if statement.

Standard Identifier: 9-12.AP.15

Grade Range: 9–12
Concept: Algorithms & Programming
Subconcept: Control
Practice(s): Creating Computational Artifacts (5.1, 5.2, 5.3)

Standard:
Iteratively design and develop computational artifacts for practical intent, personal expression, or to address a societal issue by using events to initiate instructions.

Descriptive Statement:
In this context, relevant computational artifacts can include programs, mobile apps, or web apps. Events can be user-initiated, such as a button press, or system-initiated, such as a timer firing. For example, students might create a tool for drawing on a canvas by first implementing a button to set the color of the pen. Alternatively, students might create a game where many events control instructions executed (e.g., when a score climbs above a threshold, a congratulatory sound is played; when a user clicks on an object, the object is loaded into a basket; when a user clicks on an arrow key, the player object is moved around the screen).

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: 9-12S.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.

Showing 1 - 10 of 11 Standards


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