Embed computational thinking across existing K-12 subject areas using everyday and data-based activities¶

Strategy · All strategies
Evidence · 2 claims (2 for) · 1 study (1 theoretical), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description¶

The article recommends embedding CT ideas in the subjects students already learn, since standalone computing courses may be infeasible for all schools. Suggested activities include having elementary students decompose daily tasks like brushing teeth into steps, second-language classes using cooking recipes to learn about algorithms, social studies students analyzing word frequencies in presidential inaugural speeches, and science students exploring greenhouse emission datasets. The stated aim is moving students "from being users of technology to producers of information technology."

Design Implications¶

Context¶

Requirements¶

• Support and opportunities for teachers to apply these ideas to authentic tasks

Constraints¶

• Automation requires access to computing tools, which not every classroom has

Target Learners¶

• K-12 students across elementary and secondary subject areas

Target Learning Goals¶

• algorithmic thinking
• data analysis and representation
• abstraction
• problem solving within subject areas

Affordances¶

• Ct Three As Algorithms Abstraction Automation

Claims¶

• Embedding computational thinking in a sixth-grade mathematics classroom significantly increased students' understanding of mathematical processes versus control [+M]
• School administrators underestimate parental demand for computer science education and face resource and prioritization barriers [+W]

Related Strategies¶

• Introduce computational thinking to preservice teachers within teacher education programs
• Integrate computational thinking into existing disciplinary teaching across grade bands rather than adding it on
• Integrate computational thinking across K-12 subject areas rather than treating it as computer-science-only
• Integrate computational thinking into PreK-8 core subject matter rather than relying on stand-alone clubs and classes
• Integrate data and analysis into existing K-2 teaching practices through classroom graphs such as birthdays and word walls.
• Integrate AI literacy across grades and subject-area learning rather than confining it to electives
• Embed algorithmic thinking lessons across content, standalone, SEL, problem-based, and review contexts
• Integrate AI literacy into disciplinary core subjects rather than adding a new AI subject

Examples¶

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Key Sources¶

• Yadav, A., Hong, H., & Stephenson, C. (2016). Computational Thinking for All: Pedagogical Approaches to Embedding 21st Century Problem Solving in K-12 Classrooms. TechTrends. https://doi.org/10.1007/s11528-016-0087-7