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High School Science Kansas Standards

125 standards - Kansas standards

These are the official High School Science Kansas standards โ€” the exact codes and student expectations high school teachers are required to teach and Kansas state test assesses. Browse every standard below, then generate a print-ready, standards-aligned worksheet, lesson plan, exit ticket, or assessment for any of them in seconds.

Grades 9-12 L1

A

Algorithms

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AP

Algorithms and Programming

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C

Culture

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C

Control

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C

Collection

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C

Cybersecurity

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CP

Community Partnerships

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CS

Computing Systems

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CVT

Visualization & Transformation

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D

Devices

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DA

Data Analysis

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H

History

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HS

Hardware and Software

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IC

Impacts of Computing

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IM

Inference and Models

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IO

Input and Output

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L1.AP.A.01

Create prototypes that use algorithms to solve computational problems by leveraging prior student knowledge and personal interests.

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L1.AP.C.01

Justify the selection of specific control structures when tradeoffs involve implementation, readability, and program performance, and explain the benefits and drawbacks of choices made.

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L1.AP.C.02

Design and iteratively develop computational artifacts for practical intent, personal expression, or to address a societal issue by using events to initiate instructions.

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L1.AP.C.03

Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, and/or objects.

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L1.AP.M.02

Systematically design and develop programs for broad audiences by incorporating feedback from users.

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L1.AP.M.03

Create computational artifacts by systematically organizing, manipulating and/or processing data.

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L1.AP.PD.01

Evaluate licenses that limit or restrict use of computational artifacts when using resources such as libraries.

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L1.AP.PD.02

Evaluate and refine computational artifacts to make them more usable and accessible.

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L1.AP.PD.03

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

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L1.AP.PD.04

Document design decisions using text, graphics, presentations, and/or demonstrations in the development of complex programs.

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L1.AP.V.01

Use lists to simplify solutions, generalizing computational problems instead of repeatedly using simple variables.

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L1.CS.D.01

Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects.

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L1.CS.HS.01

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

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L1.CS.HS.02

Compare computer systems and determine advantages and drawbacks of each system.

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L1.CS.IO.01

Demonstrate efficient use of input and output devices.

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L1.CS.T.01

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

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L1.DA.C.01

Collect and analyze data.

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L1.DA.CVT.01

Create interactive data visualizations using software tools to help others better understand real-world phenomena.

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L1.DA.IM.01

Create computational models that represent the relationships among different elements of data collected from a phenomenon or process.

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L1.DA.S.01

Analyze storage types and locations.

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L1.DA.S.02

Evaluate the tradeoffs in how data elements are organized and where data is stored.

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L1.IC.C.01

Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices.

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L1.IC.C.02

Test and refine computational artifacts to reduce bias and equity deficits.

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L1.IC.C.03

Demonstrate how a given algorithm applies to problems across disciplines.

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L1.IC.CP.01

Explore computing, software, and data storage systems in local industries.

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L1.IC.H.01

Hypothesize the impact of the innovations of computing systems for the next decade.

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L1.IC.SI.01

Compare and contrast the benefits and drawbacks of social media.

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L1.IC.SLE.01

Explain the beneficial and harmful effects that intellectual property laws can have on innovation.

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L1.IC.SLE.02

Explain the privacy concerns related to the collection and generation of data through automated processes (e.g., how businesses, social media, and the government collects and uses data) that may not be evident to users.

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L1.IC.SLE.03

Evaluate the social and economic implications of privacy in the context of safety, law, or ethics.

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L1.NI.C.01

Recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts.

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L1.NI.C.02

Explain tradeoffs when selecting and implementing cybersecurity recommendations.

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L1.NI.NCO.01

Evaluate the scalability and reliability of networks, by describing the relationship between routers, switches, servers, topology, and addressing.

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L1.NI.NCO.02

Compare various security measures, considering tradeoffs between the usability and security of a computing system.

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M

Modularity

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NCO

Network Communication & Organization

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NI

Networks & the Internet

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PD

Program Development

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S

Storage

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SI

Social Interactions

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SLE

Safety, Law, & Ethics

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T

Troubleshooting

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V

Variables

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Grades 9-12 L2

A

Algorithms

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AP

Algorithms and Programming

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C

Culture

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C

Control

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C

Cybersecurity

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CP

Community Partnerships

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CS

Computing Systems

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CVT

Visualization & Transformation

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D

Devices

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DA

Data Analysis

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H

History

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HS

Hardware and Software

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IC

Impacts of Computing

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IM

Inference and Models

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IO

Input and Output

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L2.AP.A.01

Describe how artificial intelligence algorithms drive many software and physical systems (e.g., digital advertising, autonomous robots, computer vision, pattern recognition, text analysis).

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L2.AP.A.02

Describe how artificial intelligence drives many software and physical systems.

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L2.AP.A.03

Critically examine and trace classic algorithms (e.g., selection sort, insertion sort, binary search, linear search).

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L2.AP.A.04

Implement an artificial intelligence algorithm to play a game against a human opponent or solve a problem.

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L2.AP.A.05

Use and adapt classic algorithms to solve computational problems.

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L2.AP.A.06

Evaluate algorithms in terms of their efficiency, correctness, and clarity.

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L2.AP.C.01

Trace the execution of repetition (e.g., loops, recursion), illustrating output and changes in values of named variables.

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L2.AP.M.01

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

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L2.AP.M.02

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

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L2.AP.M.03

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

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L2.AP.PD.01

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

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L2.AP.PD.02

Explain security issues that might lead to compromised computer programs.

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L2.AP.PD.03

Develop programs for multiple computing platforms.

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L2.AP.PD.04

Use version control systems, integrated development environments (IDEs), and collaborative tools and practices (code documentation) in a group software project.

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L2.AP.PD.05

Develop and use a series of test cases to verify that a program performs according to its design specifications.

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L2.AP.PD.06

Modify an existing program to add additional functionality and discuss intended and unintended implications (e.g., breaking other functionality).

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L2.AP.PD.07

Evaluate key qualities of a program through a process such as a code review.

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L2.AP.PD.08

Compare multiple programming languages and discuss how their features make them suitable for solving different types of problems.

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L2.AP.V.01

Compare and contrast simple data structures and their uses to simplify solutions, generalizing computational problems instead of repeatedly using primitive variables.

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L2.CS.D.01

Describe how internal and external parts of computing devices function to form a system.

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L2.CS.HS.01

Categorize the roles of operating system software.

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L2.CS.HS.02

Compare options for building a computer systems and determine advantages and drawbacks of each piece and how it will affect the overall performance.

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L2.CS.IO.01

Demonstrate use of course specific advanced input and output devices related to field.

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L2.CS.T.01

Illustrate ways computing systems implement logic, input, and output through hardware components.

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L2.DA.CVT.01

Use data analysis tools and techniques to identify patterns in data representing complex systems.

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L2.DA.IM.01

Evaluate the ability of models and simulations to test and support the refinement of hypotheses. (e.g., flocking behaviors, life cycles, etc.)

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L2.DA.S.01

Translate and compare different bit representations of data types, such as characters, numbers, and images.

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L2.DA.S.02

Analyze file systems created for keeping track of files on the hard disk.

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L2.DA.S.03

Select data collection tools and techniques to generate data sets that support a claim or communicate information.

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L2.IC.C.0

Design and implement a study that evaluates or predicts how computing has revolutionized an aspect of our culture and how it might evolve (e.g., education, healthcare, art/entertainment, energy).

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L2.IC.C.01

Evaluate the beneficial and harmful effects that computational artifacts and innovations have on society.

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L2.IC.C.02

Evaluate the impact of equity, access, and influence on the distribution of computing resources in a global society.

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L2.IC.CP.01

Collaborate with local industry partners to design and implement a viable mentorship.

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L2.IC.H.01

Analyze trends of computing and how those trends have changed over time.

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L2.IC.SI.01

Use tools and methods for collaboration on a project to increase connectivity of people in different cultures and career fields.

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L2.IC.SLE.01

Debate laws and regulations that impact the development and use of software.

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L2.IC.SLE.02

Determine ways to test the validity of information located online.

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L2.IC.SLE.03

Evaluate the social and economic consequences of how law and ethics interact with digital aspects of privacy, data, property, information, and identity.

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L2.NI.C.01

Compare ways software developers protect devices and information from unauthorized access.

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L2.NI.C.02

Use encryption and decryption algorithms to transmit/ receive an encrypted message.

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L2.NI.NCO.01

Describe the issues that impact network functionality (e.g., bandwidth, load, delay, topology).

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L2.NI.NCO.02

Give examples to illustrate how sensitive data can be affected by malware and other attacks.

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M

Modularity

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NCO

Network Communication & Organization

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NI

Networks & the Internet

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PD

Program Development

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S

Storage

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SI

Social Interactions

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SLE

Safety, Law, & Ethics

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T

Troubleshooting

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V

Variables

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