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Q6 Evaluation: Introduction

21. Computational Thinking

Introduction

Evaluation is the final stage of Computational Thinking, where you check if your solution actually works and make improvements if needed.

Imagine you created a new game, and now you need to test it. Does the game run smoothly? Is it fun to play? Do the rules make sense? If something doesn’t work or could be better, this is the time to fix it.

In this stage, you ask yourself or others for feedback:

  • Did my solution solve the problem?
  • Is there a way to make it faster, easier, or better?
  • What feedback can help me improve it?

Just like proofreading an essay before turning it in, evaluation helps make sure your work is the best it can be!


Learning Objectives

I can:

  • Evaluate my complex problem.
  • Receive constructive feedback about my solution.
  • Improve my work based on evaluation and feedback.
Arrows in a clockwise direction pointing at the word evaluation.

21. COmputational Thinking

21.Q6 Vocabulary 


 21.Q6 Student Checklist

21.Q6 Teacher Guide

 

MITECS  Michigan Integrated Technology Competencies for Students, and

ISTE Standards for Students

1. Empowered Learner
a. Articulate and set personal learning goals, developing strategies leveraging technology to achieve them, and reflect on the learning process itself to improve learning outcomes
c. Use technology to seek feedback that informs and improves their practice and to demonstrate their learning in a variety of ways

3. Knowledge Constructor
a. plan and employ effective research strategies to locate information and other resources for their intellectual or creative pursuits
b. evaluate the accuracy, perspective, credibility and relevance of information, media, data or other resources
c. curate information from digital resources using a variety of tools and methods to create collections of artifacts that demonstrate meaningful connections or conclusions
d. build knowledge by actively exploring real-world issues and problems, developing ideas and theories and pursuing answers and solutions

5. Computational Thinker
a. Formulate problem definitions suited for technology assisted methods such as data analysis, abstract models and algorithmic thinking in exploring and finding solutions
b. 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
c. Break problems into component parts, extract key information, and develop descriptive models to understand complex systems or facilitate problem-solving
d. Understands how automation works and use algorithmic thinking to develop a sequence of steps to create and test automated solutions

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