Students formulate problem definitions suited for technology-assisted methods such as data analysis, abstract models and algorithmic thinking in exploring and finding solutions.
Example: Authentic and relevant data collection and visualization through surveys, physical measurements, graphs, charts, infographics, words, and images.
Illustration: Students identify, explore or solve problems by selecting appropriate technology tools for data analysis, modeling and algorithmic thinking.
Students collect data or identify relevant data sets, use digital tools to analyze them, and represent data in various ways to facilitate problem-solving and decision-making.
Example: Authentic and relevant data visualization through surveys, physical measurements, graphs, charts, infographics, words, and images.
Illustration: Students select effective technology tools to collect, depict, organize, represent, and analyze data sets by finding patterns and developing insights.
Students break problems into component parts, extract key information, and develop descriptive models to understand complex systems or facilitate problem-solving.
Example: Student created mind maps, graphic organizers, Thinking Maps©, and diagrams
Illustration: Students break problems into smaller component parts (decompose), identify key pieces and use that information to problem solve.
Students understand how automation works and use algorithmic thinking to develop a sequence of steps to create and test automated solutions.
Example: Student created how-to-guides (e.g., written, screenshots, video tutorials), coding/programming, app design, creating spreadsheet formulas (scripts)
Illustration: Students understand and explore basic concepts related to automation, patterns, and algorithmic thinking.