Simulation: Developing a model to imitate real-world processes.
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Pattern Recognition: Observing patterns, trends, and regularities in data.Pattern Generalization: Creating models, rules, principles, or theories of observed patterns to test predicted outcomes.Parallelization: Simultaneous processing of smaller tasks from a larger task to more efficiently reach a common goal.Decomposition: Breaking down data, processes, or problems into smaller, manageable parts.Data Representation: Depicting and organizing data in appropriate graphs, charts, words, or images.Data Analysis: Making sense of data by finding patterns or developing insights.Automation: Having computers or machines do repetitive tasks.
#GRAPHPAD PRISM 6 USER GUIDE SERIES#
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As part of our ongoing partnership with the broader educational community, we are releasing the Google Exploring Computational Thinking resources (including the Computational Thinking for Educators online course) to several practitioner organizations working to support CT teaching and learning globally.