Robot Educator is a valuable tool for anyone who wishes to learn more about how to use LEGO MINDSTORMS Education EV3.
What Is It For?
The tutorials for the LEGO MINDSTORMS Education EV3 Software focus on Computer Science, Science, Mathematics, Technology and Engineering. They also provide opportunities to integrate cross-curricular activities, such as science and mathematics, when students complete the Challenges. The engaging and motivating nature of the EV3 Software will enable students to construct and program, as well as provide them with the scope to experiment, without any prior knowledge or experience with programming or building. Regardless of your individual goals, Robot Educator is a great point of reference and a gateway to the essentials of the LEGO MINDSTORMS Education EV3 Software and hardware. Robot Educator guides and supports teachers and students through
structured tutorials, and hones building and programming skills, from the basics to more advanced topics.
What Is Robot Educator?
Robot Educator is comprised of forty-eight engaging and motivating multimedia-rich tutorials that will get teachers and students off to the best possible start.
- Multiple model animations of the EV3 Robot
- Interactive animations that help make the connection between programming and robot behavior
- Sixteen modular Building Instructions
- A ‘Modify It’ task that tests the students’ understanding of the tutorial, and helps consolidate the learning outcome
- Links to relevant help text and user guide topics
- Hints and sample solutions for the busy educator
Robot Educator is comprised of the following categories:
Learn how to control the Driving Base and trigger events based on input from the various sensors. The Introduction to Robotics Lesson Plan PDF covers most of this.
Grasp the fundamentals of more complex topics, such as program loops, switches, multiple switches, arrays, and data wires.
Familiarize yourself with the Intelligent EV3 Brick and its assorted sensors and motors.
Master various Data Logging concepts, such as live and remote Data Logging, Graph Programming, and Dataset Calculation.
Learn how to use the various tools that are included.
- Lectures 50 hours
- Duration 53m
- Practical 10 weeks
- Language English