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In the digital age, computational thinking — the ability to solve problems using technology, among other things — will be a necessary skill set for students, teachers and citizens.
May students and educators are intimidated by the terms "coding" and "computational thinking." However, once the concept is understood as a systematic approach to solving problems, it becomes less daunting. Try embedding computational thinking into a project-based learning lesson.
In the universe of computer science, the definition and application of computational thinking is widely acknowledged as a pathway to problem solving, easily transferable to other academic subjects and even everyday life.
Once educators start teaching computational thinking, they’ll likely realize they've been using it -- and teaching it -- all along.
ISTE and the Computer Science Teachers Association collaborated on a series of resources designed to help prepare young learners to become computational thinkers who understand how today's digital tools can help solve tomorrow's problems.
CT Competencies focus on the knowledge, skills and mindset needed to bring computational thinking (CT) to all K–12 content areas and are designed for all educators, including those who are new to computer science.
Computer science is more than just coding. Thinking like a computer scientist involves being creative and thinking collaboratively about a problem in order to solve it.
Help your students become computational thinkers by building their competency in decomposition, pattern recognition, abstraction and algorithm design.
Computational thinking enables students to recognize when and how technology can boost their own critical-thinking, creative and problem-solving skills and help them devise innovative solutions to real-world problems.
Why not try one new thing this year to get students learning with technology. Check out this back-to-school guide for ideas, tips and resources on computer science, media literacy and digital citizenship.