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Showing 31 - 40 of 46 Standards

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.AP.21

Grade Range: 9–12
Concept: Algorithms & Programming
Subconcept: Program Development
Practice(s): Collaborating Around Computing (2.4)

Standard:
Design and develop computational artifacts working in team roles using collaborative tools.

Descriptive Statement:
Collaborative tools can be as complex as a source code version control system or as simple as a collaborative word processor. Team roles in pair programming are driver and navigator but students can take on more specialized roles in larger teams. Teachers or students should choose resources that aid collaborative program development as programs grow more complex. For example, students might work as a team to develop a mobile application that addresses a problem relevant to the school or community, using appropriate tools to support actions such as: establish and manage the project timeline; design, share, and revise graphical user interface elements; implement program components, track planned, in-progress, and completed components, and design and implement user testing.

Standard Identifier: 9-12.AP.22

Grade Range: 9–12
Concept: Algorithms & Programming
Subconcept: Program Development
Practice(s): Communicating About Computing (7.2)

Standard:
Document decisions made during the design process using text, graphics, presentations, and/or demonstrations in the development of complex programs.

Descriptive Statement:
Complex programs are often iteratively designed as systems of interacting modules, each with a specific role, coordinating for a common overall purpose. Comments are included in code both to document the purpose of modules as well as the implementation details within a module. Together these support documentation of the design process. Students use resources such as libraries and tools to edit and manage parts of the program and corresponding documentation. For example, during development of a computational artifact students could comment their code (with date, modification, and rationale), sketch a flowchart to summarize control flow in a code journal, and share ideas and updates on a white board. Students may document their logic by explaining the development process and presenting to the class. The presentation could include photos of their white board, a video or screencast explaining the development process, or recorded audio description.

Standard Identifier: 9-12.CS.3

Grade Range: 9–12
Concept: Computing Systems
Subconcept: Troubleshooting
Practice(s): Testing and Refining Computational Artifacts (6.2)

Standard:
Develop guidelines that convey systematic troubleshooting strategies that others can use to identify and fix errors.

Descriptive Statement:
Troubleshooting complex problems involves the use of multiple sources when researching, evaluating, and implementing potential solutions. Troubleshooting also relies on experience, such as when people recognize that a problem is similar to one they have seen before and adapt solutions that have worked in the past. For example, students could create a list of troubleshooting strategies to debug network connectivity problems such as checking hardware and software status and settings, rebooting devices, and checking security settings. Alternatively, students could create troubleshooting guidelines for help desk employees based on commonly observed problems (e.g., problems connecting a new device to the computer, problems printing from a computer to a network printer).

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.

Standard Identifier: 9-12S.AP.16

Grade Range: 9–12 Specialty
Concept: Algorithms & Programming
Subconcept: Modularity
Practice(s): Recognizing and Defining Computational Problems, Developing and Using Abstractions (3.2, 4.2)

Standard:
Analyze a large-scale computational problem and identify generalizable patterns or problem components that can be applied to a solution.

Descriptive Statement:
As students encounter complex, real-world problems that span multiple disciplines or social systems, they need to be able to decompose problems and apply already developed code as part of their solutions. Students decompose complex problems into manageable subproblems that could potentially be solved with programs or procedures that can be reused or already exist. For example, in analyzing an Internet radio app, students could identify that users need to create an account and enter a password. They could identify a common application programming interface (API) for checking and displaying password strength. Additionally, students could recognize that the songs would need to be sorted by the time last played in order to display the most recently played songs and identify a common API for sorting dates from most to least recent. Alternatively, in analyzing the problem of tracking medical treatment in a hospital, students could recognize that patient records need to be stored in a database and identify a database solution to support quick access and modification of patient records. Additionally, they could recognize that records in the database need to be stored securely and could identify an encryption API to support the desired level of privacy.

Standard Identifier: 9-12S.AP.17

Grade Range: 9–12 Specialty
Concept: Algorithms & Programming
Subconcept: Modularity
Practice(s): Developing and Using Abstractions, Creating Computational Artifacts (4.3, 5.2)

Standard:
Construct solutions to problems using student-created components, such as procedures, modules, and/or objects.

Descriptive Statement:
Programmers often address complex tasks through design and decomposition using procedures and/or modules. In object-oriented programming languages, classes can support this decomposition. Students create a computational artifact that solves a problem through use of procedures, modules, and/or objects. This problem should be of sufficient complexity to benefit from decomposition and/or use of objects. For example, students could write a flashcard program in which each card is able to show both the question and answer and record user history. Alternatively, students could create a simulation of an ecosystem in which sprites carry out behaviors, such as consuming resources.

Standard Identifier: 9-12S.AP.18

Grade Range: 9–12 Specialty
Concept: Algorithms & Programming
Subconcept: Modularity
Practice(s): Developing and Using Abstractions, Creating Computational Artifacts, Testing and Refining Computational Artifacts (4.2, 5.3, 6.2)

Standard:
Demonstrate code reuse by creating programming solutions using libraries and APIs.

Descriptive Statement:
Code reuse is critical both for managing complexity in modern programs, but also in increasing programming efficiency and reliability by having programmers reuse code that has been highly vetted and tested. Software libraries allow developers to integrate common and often complex functionality without having to reimplement that functionality from scratch. Students identify, evaluate, and select appropriate application programming interfaces (APIs) from software libraries to use with a given language and operating system. They appropriately use resources such as technical documentation, online forums, and developer communities to learn about libraries and troubleshoot problems with APIs that they have chosen. For example, students could import charting and graphing modules to display data sets, adopt an online service that provides cloud storage and retrieval for a database used in a multiplayer game, or import location services into an app that identifies points of interest on a map. Libraries of APIs can be student-created or publicly available (e.g., common graphics libraries or map/navigation APIs).

Standard Identifier: 9-12S.AP.19

Grade Range: 9–12 Specialty
Concept: Algorithms & Programming
Subconcept: Program Development
Practice(s): Collaborating Around Computing, Creating Computational Artifacts (2.2, 2.3, 5.2)

Standard:
Plan and develop programs for broad audiences using a specific software life cycle process.

Descriptive Statement:
Software development processes are used to help manage the design, development, and product/project management of a software solution. Various types of processes have been developed over time to meet changing needs in the software landscape. The systems development life cycle (SDLC), also referred to as the application development life cycle, is a term used in systems engineering, information systems, and software engineering to describe a process for planning, creating, testing, and deploying an information system. Other examples of common processes could include agile, spiral, or waterfall. Students develop a program following a specific software life cycle process, with proper scaffolding from the teacher. For example, students could work in teams on a common project using the agile development process, which is based on breaking product development work into small increments. Alternatively, students could be guided in implementing sprints to focus work on daily standup meetings or scrums to support efficient communication.

Standard Identifier: 9-12S.AP.20

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

Standard:
Develop programs for multiple computing platforms.

Descriptive Statement:
Humans use computers in various forms in their lives and work. Depending on the situation, software solutions are more appropriate or valuable when available on different computational platforms or devices. Students develop programs for more than one computing platform (e.g. desktop, web, or mobile). For example, students could develop a mobile app for a location-aware software product and a different program that is installed on a computer. Alternatively, students could create a browser-based product and make it accessible across multiple platforms or computers (e.g., email).

Showing 31 - 40 of 46 Standards


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