We can’t predict what the fastest growing technology will be in five years,
but we can confidently predict that it will include computer science,
engineering design, and mathematics.
Robot Lessons - Year One
The FIRE project develops robotic lessons for informal education that teach computer science, engineering design, and mathematics. The problems are designed in ways that require the student to use mathematics and computer science rather than “guess and check” and remote control.
The lessons available in year one are: Robots in Motion, Robot Programming using the NXT-G Programming Language, and robot programming using ROBOTC for MINDSTORMS and ROBOTC for IFI. The courses will evolve with the project and are designed to use robotics to teach science, technology, engineering, and mathematics (STEM) concepts.
Cognitive Tutor Enabled Robot Curriculum
Over the next three years the FIRE project will develop a series of cognitive tutor enabled courses that will significantly improve a student’s ability to learn STEM through robotics. Cognitive tutors are intelligent tutoring systems that promote structured thinking as a student progresses through each lesson. By analyzing the steps a student takes in solving a problem, cognitive tutors can track a student’s progress and provide feedback or additional practice as necessary. Classroom-enhanced versions will also produce student reports for teachers, enabling targeted remediation on top of the innately differentiated learning experience that the tutor's adaptive nature inherently provides.
In year one, the Robots in Motion curriculum (see below) is being redesigned to take full advantage of the cognitive tutor format and technology. Robots in Motion uses intrinsic properties of mobile robot systems to enable students to work hands-on with proportionality, a big idea in mathematics and across all STEM disciplines. |
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Robotics Explorations Lessons
Measurement Unit - "Quality Control"
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Proportionality Unit 1 - "Asteroid 2012 JN4"
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Proportionality Unit 2 - "Robot Dance"
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Subsequent courses build on competencies learned in the previous course.







