Grade 3 Computational Thinker Cornerstone Task Summary

Inference and Models

• 3. DA.IM.01 Utilize data to make predictions and discuss whether there are sufficient data to make these predictions and extrapolations.

Algorithms

• 3. AP.A.01 Develop and compare multiple algorithms for the same task.

Variables

• 3. AP.V.01 Create programs that use variables to store and modify grade appropriate data.

Control

• 3. AP.C.01 Create programs using a programming language that includes sequences, loops, conditionals, and variables to solve a problem or express an idea.

Modularity

• 3. AP.M.01 Decompose a simple problem into a precise set of sequences instructions.

Program Development

• 3. AP.PD.01 Use an iterative process to plan the development of a program by including others’ perspectives and considering user preferences while solving simple problems
• 3.AP.PD.02 Identify instances of remixing, when ideas are borrowed and treated upon, and provide attribution
• 3. AP.PD.03 Analyze and debug an existing program or algorithm that includes sequencing, repetition, and variables in a programming language.
• 3. AP.PD.04 Communicate and explain program development to peers and adults using comments, presentations, and demonstrations.

Culture and Diversity

• 3. IC.C.01 Identify how different technologies created by people from diverse backgrounds have contributed to computing and help

Social Interactions

• 3. IC.SI.01 Develop a code of conduct, explain, and practice grade-level appropriate behavior and responsibilities while participating online. Identify and report inappropriate behavior.
• 3. IC.SI.02 Identify how computing devices and computational products have been, or can be, improved by incorporating diverse perspectives.

Students formulate problem definitions suited for technology-assisted methods such as data analysis, abstract models and algorithmic thinking in exploring and finding solutions.

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.

Students break problems into component parts, extract key information, and develop descriptive models to understand complex systems or facilitate problem-solving.

Students understand how automation works and use algorithmic thinking to develop a sequence of steps to create and test automated solutions.