Embedded Files
Robot Mouse
Robot Mouse
Learn how to code the mouse to reach the cheese!
Grades K-3
Supported by Tech Force
This kit provides our youngest learners an introduction to programming. They will program a sequence of steps to guide Colby, the robot mouse, to reach the cheese!
LPSD has 6 individual mice and 6 Robot Mouse Kits (shown to the left) as well as two sets of floor maps (city and farm).
Online Simulator/Emulator- students can practice getting their robot through a maze using a Chromebook! There are different backgrounds to choose from.
Curriculum Connections: SaskCode Lessons
Curriculum Connections: SaskCode Lessons
Curriculum Connections: San Francisco School District, Computer Science for All
Curriculum Connections: San Francisco School District, Computer Science for All
Suggested lessons - K-2, Red Version, In Person
-excellent scaffolded lessons to teach students about computer science
-please substitute Robot Mouse for BeeBot
Sample Curricular Connection
Grade 2 Physical Science - Motion and Relative Position
MP 2.1 Analyze methods of determining the position of objects relative to other objects
Equipment Provided:
Equipment Provided:
1 robot mouse coding kit that includes plastic 'grid floor', robot mouse, partitions, tunnels, and coding cards
Built for pre-readers with direction cards that can keep track of the sequence of codes
Levelled activity cards to challenge young coders
Students in Action:
Students in Action:
LPSD Technology Integration Standards for Students
LPSD Technology Integration Standards for Students
Computational Thinker
Students develop and employ strategies for understanding and solving problems in ways that leverage the power of technological methods to develop and test solutions.
Students:
Formulate problem definitions suited for technology-assisted methods such as data analysis, abstract models and algorithmic thinking in exploring and finding solutions.
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.
Break problems into component parts, extract key information, and develop descriptive models to understand complex systems or facilitate problem-solving.
Understand how automation works and use algorithmic thinking to develop a sequence of steps to create and test automated solutions.
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