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  • CSTA.2.AP.13 - Decompose problems and subproblems into parts to facilitate the design...
The Pack Activity Guide
Conditional Remix & Share Permitted
CC BY-NC-SA
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The Pack is a digital game that encourages learners to use Computational Thinking (CT) to solve problems they encounter in the futuristic world of Algos, where healthy ecosystems have faltered and water and food are scarce. Throughout the game, players must find food sources to attract their own Pack of Algos creatures. These creatures have various functions (like digging, moving, grabbing, and bumping) that can help the player collect seeds and bring water to dry areas. Creatures can be combined to form algorithms that perform complex tasks and overcome challenges. Players’ use of these algorithms is the key to finding all of the seeds and restoring harmony to Algos!

The Pack game and supplemental activities are designed to support middle schoolers in engaging with Computational Thinking concepts and practices while reinforcing basic scientific reasoning. The supplemental activities encourage players to reflect on their gameplay through the lens of Computational Thinking and to explore how solving problems in the game connects to the ways they can solve problems in class and beyond. The supplemental activities can be implemented in a classroom, as part of an after-school program, or even as an activity for families to do together at home.

Subject:
Applied Science
Computer Science
Material Type:
Activity/Lab
Game
Interactive
Lesson Plan
Provider:
NYSCI
Date Added:
04/12/2024
Robotic Golf Putter
Unrestricted Use
CC BY
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0.0 stars

Students in groups of two will use an EV3 kit, EV3 accessories kit and Microbit. To Create a robotic golf putter. The putter will use a Microbit to read and analyze its acceleration. The robot will be allowed to travel up to 2’ to strike the ball to make a 6-8’ putt.

Subject:
Agriculture
Applied Science
Computer Science
Electronic Technology
Engineering
Manufacturing
Physical Science
Material Type:
Activity/Lab
Lesson
Lesson Plan
Module
Author:
Anthony Reisdorff
Date Added:
01/25/2020