Mississippi K–6 technology standards

Identify computing technologies used in daily life that have changed over time.

Identify how people use digital devices in their homes, schools, and work.

Describe how people design and develop computing technologies.

Discover and carry out algorithms in daily activities.

Recognize patterns that people and machines can use to make decisions.

Describe how people make algorithms.

Create a sequence of commands to complete a simple task or express ideas.

Describe how code can be used to complete a task.

Identify everyday gestures and symbols that represent information people use to make choices.

Demonstrate how people create and collect data to help answer questions.

Investigate questions that can be answered by collecting data in students’ everyday environments.

Investigate how data can help a person make informed decisions in everyday life.

Examine the use of tools to accomplish tasks or solve problems for different users.

Differentiate between public and private information.

Identify an individual's role in responsibly using computing systems and tools.

Compare how some daily activities or personal expressions were done before and after the introduction of a specific computing technology.

Differentiate between activities that humans do well and activities that computing technologies do well.

Describe how computing is used by people in your life at home, school, and work.

Break down a problem or task into its individual components to develop an effective algorithm.

Investigate how patterns can be used by people and machines to make predictions and classify objects into categories.

Illustrate how different inputs, variable values, or decisions in an algorithm lead to different outcomes for people.

Create code from a teacher-provided algorithm that includes sequence and events to complete a task or express ideas.

Discuss the ways a program might affect different users.

Explain the function sequence, loops, and events within the code.

Debug programs that include sequence and events.

Identify terms that refer to values that change over time in everyday life.

Use multiple methods, including observation, measurement, and survey, to collect both numeric and non-numeric data.

Compare questions that can be answered with data investigations and questions that are answered through other means.

Examine a variety of data questions that address the needs of an individual or community.

Describe the purpose of basic hardware components of a computing system, using accurate terminology.

Describe what an online account is and how to protect it from unauthorized access.

Describe an individual's role in responsibly using computing systems and tools.

Compare how one familiar daily activity was done before and after the introduction of a specific computing technology.

Investigate situations where humans have created computing technologies to solve problems.

Investigate how your personal interests connect to computing in different industries and careers.

Create algorithms that include sequence, events, and loops to solve a problem or express ideas.

Examine how computing technologies can learn from patterns in data.

Describe how algorithms might impact people in varied situations.

Create code from an algorithm that includes sequence, events, and loops to complete a task or express ideas.

Collaborate with a partner to develop a program that solves a problem or expresses an idea.

Explain the steps taken during program development, recognizing the contributions of others in the process.

Debug programs that include sequence, events, and loops.

Label pieces of information with a name and whether its value is constant or changes.

Compare numeric and non-numeric types of data in terms of how they are collected and what they can tell us.

Develop questions that can be answered with data.

Distinguish between data collection approaches, including those that may lead to inaccurate or biased data.

Apply basic troubleshooting processes to identify and fix common hardware and software issues.

Explain how online actions have real-world consequences and that laws and rules may also apply when online.

Describe the potential benefits and harms that arise from an individual’s use of computing technology.

Examine how computing innovations have changed the ways people live, work, or communicate over time.

Describe how new technologies create both benefits and risks in daily life.

Examine why people design and build computing technologies, including AI.

Explain how people in different industries use computing technologies and skills to accomplish their work.

Create algorithms that include sequence, events, looping, and selection (conditionals) to solve a problem or express ideas.

Investigate how AI models can evolve when new data is added to a training set.

Compare how different algorithms for solving the same problem produce outcomes that may benefit or disadvantage different groups of people.

Develop code from a student-created algorithm that includes sequence, events, looping, and selection to complete a task or express ideas.

Give, receive, and implement structured, constructive feedback to improve programs.

Articulate how a specific segment of code contributes to the overall purpose of a program.

Debug looping errors and selection errors in a program.

Identify the variables being stored and manipulated in a program.

Evaluate numeric and non-numeric data for accuracy and completeness.

Investigate a data question involving relationships between multiple attributes.

Investigate how data collected about people may affect individuals and groups.

Explain how the basic hardware components of a computing system, including sensors, work together to perform input/output (I/O) operations.

Distinguish between authentication and authorization in protecting devices and private information.

Explain how people access the Internet to gain information and communicate with each other.

Describe how widely used computing systems and tools may impact an individual’s life and community.

Investigate the contributions of diverse and often overlooked individuals and communities in the history of computing.

Analyze how the limitations of existing technologies can lead to emerging technologies.

Evaluate when it is appropriate to use or not use computing technologies to solve a problem.

Examine how professionals collaborate while using computational technologies to solve problems.

Compose written descriptions of algorithms using everyday language that incorporates a combination of sequence, events, iteration, and selection to solve a problem or express ideas.

Train an AI model to make a classification or prediction.

Evaluate how different algorithms may affect outcomes, situations, and people with a wide range of needs.

Compare multiple programming solutions to a given problem based on their correctness and clarity.

Collaborate with a team by offering a meaningful contribution to creating a program.

Document a program to clarify its functionality.

Debug programs that include sequence, events, iteration, and selection.

Trace how data flows through a program and changes variable values during execution.

Organize collected data into tables using digital tools, with rows representing records and columns representing attributes.

Write a brief narrative that includes at least one data visualization to report the process and results of a data investigation, using computing tools.

Design a data collection process that addresses the needs of people from different backgrounds or groups.

Describe the role of software in a computing system to accomplish tasks or solve problems.

Evaluate how sharing information online might reveal personally identifiable information (PII) and other details to people other than the intended recipients.

Compare and contrast the various ways computing devices connect to the Internet, wired or wireless.

Investigate the impacts of computing on natural resources and the environment (e.g., e-waste, electronic trash).

Compare contributions of individuals and groups in computing history.

Examine how individuals decide whether to use emerging technologies.

Distinguish between the ways humans learn and the ways computing technologies learn.

Investigate how the workforce adopts new computing technologies and continues to update their computing skills.

Construct visual representations of algorithms that incorporate a combination of sequence, events, iteration, selection, and variables to solve a problem or express ideas.

Analyze relationships between the properties of training data and an AI model’s output.

Articulate how human-centered design principles can be incorporated into the development of computational solutions, including AI and other emerging technologies.

Create a new program by modifying or combining elements of existing programs.

Construct individual components of a program that are collaboratively assembled into a working project.

Create embedded or external documentation for a programming project.

Debug programs using systematic strategies.

Use variables to store, compare, and modify data within a program.

Explain how hardware and software components of a computing system work together to perform input/output (I/O), processing, and storage.

Describe the concepts of the CIA (Confidentiality, Integrity, Availability) Triad and how each part is important in protecting information.

Investigate the components of wired and wireless networks.

Examine how computing impacts culture and the ways people live and work.

Analyze how the inclusion or exclusion of diverse and often overlooked individuals and communities has shaped the design, development, and societal impact of computing technologies.

Evaluate when to use emerging technologies for problem-solving.

Analyze intended/unintended impacts of computing technologies.

Discuss how technology design decisions affect different communities.

Analyze ethical and social outcomes of technology use.

Explore how computational thinking is used in various careers.

Discuss how automation changes work and job opportunities.

Design, represent, and test algorithms that use variables by applying sequence, events, iteration, and selection.

Compare rule-based and data-driven approaches to solving simple problems by using AI model outputs and examining how training data, including potential biases, can influence results.

Apply human-centered design principles to evaluate ethical considerations in algorithm design and propose improvements that lead to fair, effective, and responsible outcomes.

Structure code using simple procedures/functions for clarity.

Analyze code segments to identify the use of iteration, selection, and variables.

Create documentation to explain code's purpose and functionality.

Test and debug programs using standard practices.

Refine programs based on peer or user feedback.

Use basic data types (e.g., integers, strings) to store and manipulate data.

Identify different data types (qualitative and quantitative) and collect and organize data with appropriate precision and granularity for its intended use.

Use metadata to interpret datasets and answer simple questions about how data is structured, collected, and used.

Transform and visualize data using basic computational tools to explore patterns and support data investigations.

Evaluate data quality, summarize investigation findings, and identify potential biases that may affect data interpretation.

Discuss the benefits and risks of sharing personal data.

Compare basic computing systems and their uses.

Identify hardware and software components in industry devices.

Explain the importance of the CIA Triad in protecting information.

Recognize common cyber threats and basic prevention strategies.

Model simple network communication (e.g., packet transmission).

Discuss how system design can be improved for diverse users.

Identify factors affecting access to computing systems.