Standards in this Framework
Standards Mapped
Mapped to Course
| Standard | Lessons |
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MS-ALG-PS-01
Design an algorithm that includes variables of multiple data types to solve a problem or express ideas. |
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MS-ALG-PS-02
Model a given algorithm with a flowchart or pseudocode that includes a combination of control structures and procedures. |
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MS-ALG-PS-03
Verify the accuracy of an algorithm for given inputs. |
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MS-ALG-PS-04
Justify whether a problem is best solved using procedural instructions, rule-based logic, data-driven methods, or a combination of these approaches. |
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MS-ALG-PS-05
Use AI tools to generate outputs that assist in solving a computational problem. |
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MS-ALG-ML-06
Hypothesize how a machine learning model generates classifications or predictions. |
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MS-ALG-ML-07
Investigate ways to improve the accuracy of a machine learning model and reduce bias by refining the quality of examples and nonexamples in the training data. |
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MS-ALG-ML-08
Evaluate the features and limitations of a machine learning model. |
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MS-ALG-IM-09
Evaluate which human-centered design principles are present or missing in existing computing technologies. |
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MS-ALG-IM-10
Examine evidence of beneficial and harmful impacts, ethical issues, and biases of algorithms encountered in daily life. |
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MS-ALG-IM-11
Modify an algorithm to address a specific societal impact, ethical issue, or bias. |
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MS-PRO-PD-12
Use procedures to structure code for clarity and reusability. |
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MS-PRO-PD-13
Use reference documentation in program development. |
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MS-PRO-PD-14
Justify the importance of attribution and intellectual property when developing computing technologies. |
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MS-PRO-PD-15
Develop a program utilizing inclusive collaboration practices. |
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MS-PRO-VD-16
Use variables of multiple data types to store, access, and manipulate data within a program. |
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MS-PRO-RD-17
Analyze the roles of iteration, selection, variables, and procedures in a segment of code. |
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MS-PRO-RD-18
Analyze AI-generated code for accuracy and usability in a programming project. |
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MS-PRO-TR-19
Use systematic strategies to test, refine, and document changes to a computing technology to meet the intended purpose. |
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MS-PRO-TR-20
Refine a computing technology based on user feedback to improve its usability and accessibility. |
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MS-DAT-DC-21
Evaluate how different levels of precision and granularity in data collection affect accuracy, storage, and analysis. |
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MS-DAT-DC-22
Explain how data and its associated metadata can be used to answer questions. |
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MS-DAT-DC-23
Use a digital tool to sort, filter, group, and summarize structured data. |
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MS-DAT-DC-24
Analyze options to address data quality issues. |
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MS-DAT-DI-25
Use computational tools to identify relationships among variables in a dataset and make classifications or predictions. |
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MS-DAT-DI-26
Create data visualizations to show how different design choices can impact the interpretation of the same data. |
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MS-DAT-DI-27
Summarize a data investigation process, including potential biases, limitations, and supporting evidence. |
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MS-DAT-IM-28
Explain the benefits and risks of allowing personal data and metadata to be collected and used in datasets, including issues of data ownership, privacy, and sovereignty. |
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MS-DAT-IM-29
Analyze how decisions made at different stages of working with data can lead to biased data, misleading conclusions, and compromised AI models. |
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MS-SYS-HW-30
Examine differences between computing systems based on user needs, system requirements, and potential societal, environmental, and ethical impacts. |
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MS-SYS-HW-31
Describe computing devices used in various industries, their basic functions, and how they are used to accomplish tasks or solve problems. |
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MS-SYS-SE-32
Explain the effects of not using the CIA Triad when working with data. |
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MS-SYS-SE-33
Evaluate common types of cyber attacks and preventions. |
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MS-SYS-NT-34
Model how information in a network is broken down into packets, transmitted between devices, and reassembled. |
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MS-SYS-NT-35
Explain how the resilience of the internet depends on interconnected devices and their roles and functions within the network. |
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MS-SYS-IM-36
Collaborate to improve the design of a computing system to meet the needs of diverse users. |
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MS-SYS-IM-37
Examine how access to computing systems can vary based on personal and social factors, such as physical ability, geographic location, socioeconomic status, and age. |
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MS-SOC-HI-38
Compare the roles of individuals, communities, organizations, and governments in shaping computing technologies across major eras in computing history. |
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MS-SOC-HI-39
Analyze intended and unintended impacts of historical computing technologies on society and the environment. |
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MS-SOC-ET-40
Evaluate when it is appropriate to use AI and other emerging technologies to solve a problem based on their capabilities, limitations, and environmental impacts. |
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MS-SOC-ET-41
Evaluate how design decisions in emerging technologies influence user experiences differently across different communities. |
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MS-SOC-ET-42
Debate ways an emerging technology impacts the social, cultural, and environmental issues in local communities. |
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MS-SOC-HU-43
Analyze how the decisions humans make when using computing technologies have ethical and social consequences. |
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MS-SOC-CE-44
Analyze how workers in different careers use computational thinking to solve real-world problems. |
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MS-SOC-CE-45
Evaluate how automation in technology can create or replace jobs and change how people work. |
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