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Student Agency - What is Student Agency?

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the place: professional learning and collaboration environment

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The PLACE: Professional Learning and Collaboration Environment

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To get updates on upcoming courses, sign up today for our mailing list.

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Computational Thinking (CT) is a problem solving process that includes a number of characteristics and dispositions. CT is essential to the development of computer applications, but it can also be used to support problem solving across all disciplines, including math, science, and the humanities. Students who learn CT across the curriculum can begin to see a relationship between subjects as well as between school and life outside of the classroom.

CT involves a number of skills, including:

Formulating problems in a way that enables us to use a computer and other tools to help solve them

Logically organizing and analyzing data

Representing data through abstractions such as models and simulations

Automating solutions through algorithmic thinking (a series of ordered steps)

Identifying, analyzing, and implementing possible solutions with the goal of achieving the most efficient and effective combination of steps and resources

Generalizing and transferring this problem solving process to a wide variety of problems

These skills are supported and enhanced by a number of dispositions or attitudes that include:

Confidence in dealing with complexity

Persistence in working with difficult problems

Tolerance for ambiguity

The ability to deal with open ended problems

The ability to communicate and work with others to achieve a common goal or solution

CT concepts are the mental processes (e.g. abstraction, algorithm design, decomposition, pattern recognition, etc) and tangible outcomes (e.g. automation, data representation, pattern generalization, etc) associated with solving problems in computing. These include and are defined as follows:

Abstraction: Identifying and extracting relevant information to define main idea(s)

Algorithm Design: Creating an ordered series of instructions for solving similar problems or for doing a task

Automation: Having computers or machines do repetitive tasks

Data Analysis: Making sense of data by finding patterns or developing insights

Data Collection: Gathering information

Data Representation: Depicting and organizing data in appropriate graphs, charts, words, or images

Decomposition: Breaking down data, processes, or problems into smaller, manageable parts

Parallelization: Simultaneous processing of smaller tasks from a larger task to more efficiently reach a common goal

Pattern Generalization: Creating models, rules, principles, or theories of observed patterns to test predicted outcomes

Pattern Recognition: Observing patterns, trends, and regularities in data

Simulation: Developing a model to imitate real-world processes

See our Computational Thinking Concepts Guide for a printable version of this list, along with teaching tips for each concept.

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Google for Education: Computational Thinking

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Computational thinking (CT) involves a set of problem-solving skills and techniques that software engineers use to write programs that underlie the computer applications you use such as search, email, and maps

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Games for tomorrow's programmers. Block-based programming lessons for beginners. Free from Google.

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Have students pair up
Give them a deck of cards
Choose ten
Sort them any way they want
Share
Add one more card...can you make it work?
Could be modified using word cards

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Welcome back! Log in to access all your presentations.

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Ready for a workshop

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CT in the Elementary Classroom | NCTIES 2019

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bit.ly/CTinElem CT in the Elementary Classroom 1 Please go to: menti.com Enter code: 41 04 26 This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License. Created by the Friday Institute for Educational Innovation at NC State University, College ...

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This girl is on fire!!!

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The girl on fire and her hype man...er....hype girl!

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The girl on fire and her hype man...er....hype girl!