Grade 5 Computational Thinker Cornerstone Task Summary

Devices

• 5.CS.D.01 Describe and model how internal and external parts of computing devices function to form a system. Describe how some components rely on others for correct functionality

Inference & Models

• 5.DA.IM.01 Refer to data sets to highlight or propose cause-and-effect relationships, predict outcomes, or communicate ideas.

Algorithms

• 5.AP.A.01 Develop, compare, and refine multiple algorithms for the same task and determine which algorithm is the most appropriate.

Variables

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

Control

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

Modularity

• 5.AP.M.01 Decompose a large problem into smaller, manageable sub-problems and then further into sets of sequenced instructions to facilitate the program development process.
• 5.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

• 5.AP.PD.01 Use an iterative process to plan the development of a program by including others’ perspectives and considering user preferences while solving problems.
• 5.AP.PD.03 Create, test, and debug a program that includes sequencing, repetition, and variables in a programming language to ensure its runs as intended.
• 5.AP.PD.04 Communicate and explain program development to peers and adults using comments, presentations, and demonstrations.

Culture and Diversity

• 5.IC.C.02 Develop, test, and refine computational artifacts to improve accessibility and usability for all users.

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.