Computer Science + Robotics
Educational robotics serves Computer Science education in many ways. First, robots are fun. No matter the subject, teachers are always looking for ways to engage and motivate their students. Also, the everyday relevance of robots in the lives of students provides a natural and authentic hook for student learning. The process of developing coding solutions with a robot provides a relevant context for engaging students in Computer Science. The VEX Computer Science curriculum continuum will provide students with a fun and engaging way to learn authentic applications to Computer Science concepts.
Introduction to the
VEX Computer Science Level 1 - Blocks Course
Computer Science and robotics go hand in hand. Jason Mckenna takes us through the benefits of the new
VEX Robotics Computer Science Level 1 - Blocks Course!

VEXcode VR
VEXcode VR lets you code a virtual robot using a block based coding environment powered by Scratch Blocks or a text based coding powered by Python.
VEXcode VR is based on VEXcode, the same coding environment used for VEX 123, GO, IQ and V5 robots.
US Grade:
Age:

Computer Science Activities + Resources
Access a library of activities and resources to implement VEXcode VR within an existing lesson or as a stand-alone fun activity.

Computer Science Level 1 - Blocks
Begin the journey into learning Computer Science with the VEXcode VR Computer Science Level 1 - Blocks course! Using VEXcode VR and engaging robotics-based activities, students will learn about project flow, loops, conditionals, algorithms.
Coming 2021

Computer Science Level 2 - Transitioning to Text
This intermediate level course will use VEXcode VR to learn additional Computer Science concepts such as variables, arrays, and functions in a block-based environment before transitioning to Python.
Coming 2021

Computer Science Level 3 - Python, C++
This advanced level course will use VEXcode VR to expand on learning text-based coding using Python to learn more about data structures, project flow, and complex conditional logic.