Grade 4 Computational Thinker Cornerstone Task Summary

Inference and Models

• 4. DA.IM.01 Discuss the potential accuracy of conclusions and predictions based on the adequacy of the data set (number of data).

Algorithms

• 4.AP.A.01 Develop, compare, and refine multiple algorithms for the same task

Variables

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

Control

• 4. AP.C.01 Create programs using a programming language that includes sequences, loops, conditionals,, and variables that utilize mathematics operations to manipulate values in order to solve a problem or express an idea.

Modularity

• 4. AP.M.01 Decompose a large problem into smaller, manageable sub-problems to facilitate the program development process.
• 4. AP.M.02 Modify, remix, or incorporate portions of an existing program into one’s own work, to develop or add more advanced features (grade-level appropriate).

Program Development

• 4. AP.PD.01 Use an iterative process to plan the development if a program by including others’ perspectives and considering user preferences while solving
  simple problems.
• 4.AP.PD.03 Create and debug a program or algorithm that includes sequencing, repetition, and variables in a programming language
• 4.AP.PD.04 Communicate and explain program development to peers and adults using comments, presentations, and demonstrations 

Culture and Diversity

• 4. IC.C.01 Summarize how different technologies created by people from diverse backgrounds have contributed to computing and helped to change the world.

Social Interactions

• 4. IC.SI.02 Discuss ways existing devices or computational products can be improved by collaborating with peers to gain their 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.