Learning Objectives

At the end of this simulation, you will be able to:

Teach students the fundamentals of designing and simulating feedback control systems using PID controllers for mechanical and electrical applications.
Provide hands-on experience with interactive simulations of closed-loop systems for controlling variables like speed, temperature, or position.
Enable students to analyze and tune control systems for optimal performance, ensuring effective regulation of system variables.
Enhance understanding of control system stability, response times, and error minimization through real-time feedback.
Foster critical thinking by allowing students to adjust control parameters and assess their impact on system performance in various applications.

How do virtual labs work?

Enhance students' involvement in science by immersing them in interactive learning scenarios. Create simulations for experiments, provide hands-on training in laboratory techniques, and convey theoretical concepts through captivating visual experiences to improve their overall long-term learning outcomes.

Access web-based simulations that are compatible with laptops, Chromebooks, tablets, and iPads, eliminating the need for software installation.
Incorporate a teacher dashboard for automated grading and monitoring of student progress.
Utilize embedded quizzes to assist students in mastering scientific content.
Comprehensive repository of educational materials, including learning resources, lab reports, videos, theory pages, graphics, and more.

Relevant Course Packages All Course Packages →

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Immerse students in managing environmental and wilderness emergencies through XR simulations. Students will explore scenarios involving hypothermia, heatstroke, drowning, and other extreme weather conditions, while practicing life-saving interventions and field treatment strategies.

Operating Room and Surgical Nursing

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Smart Grid and Internet of Things (IoT) Integration

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Neural Engineering and Brain-Computer Interfaces (BCIs)

Immerse students in the design and testing of neural interfaces that connect the brain to external devices, such as prosthetic limbs and communication aids. Through advanced XR simulations, students will develop and refine brain-computer interfaces (BCIs), analyze EEG signals, and create algorithms for neural control.