Learning Objectives

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

Understand the principles of radiation safety, including the impact of time, distance, and shielding on exposure.
Use XR-based tools to simulate and measure radiation doses in various clinical settings.
Learn the correct application of personal protective equipment (PPE) like lead aprons, thyroid shields, and gloves to reduce exposure.
Engage in virtual scenarios to assess radiation exposure risk and make informed decisions about protective gear.
Receive feedback on correct safety protocols, dosimetry measurements, and the effective use of radiation protection strategies in clinical practice.

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 →

Robotics and Unmanned Aerial Vehicles (UAVs)

Explore the world of designing, building, and controlling Unmanned Aerial Vehicles (UAVs) and aerospace robotics for autonomous flight. In this simulation, students will gain hands-on experience by programming UAVs for specific missions, including navigation, obstacle avoidance, and data collection. Using XR-enabled environments, students will interact with drone dynamics, sensor integration, and flight path optimization techniques, while receiving valuable feedback on UAV stability, control responses, and overall mission performance.

Geospatial Analysis and Remote Sensing

Explore the power of remote sensing technology and its application in civil engineering projects. Analyze satellite imagery and aerial photographs to map terrain, plan land use, and track urban development. Use geospatial data tools to detect changes in natural resources, land features, and environmental conditions. Receive feedback on data accuracy, interpretation, and the practical integration of this information into infrastructure planning.

Energy Systems and Power Generation

This XR simulation teaches students the principles of energy conversion and power generation systems, including the use of renewable energy sources. Through virtual simulations, students can explore various power generation systems, such as steam turbines, internal combustion engines, wind turbines, and solar panels. Interactive scenarios guide students in analyzing energy efficiency, heat loss, and optimizing power output, with feedback on energy conversion rates, sustainability, and overall system performance.

Avionics Systems Troubleshooting

Explore XR-based simulations for maintaining and repairing avionics systems, including communication, navigation, and monitoring equipment. Students will engage with components like radar systems, transponders, flight control systems, and GPS, troubleshooting electrical issues, calibrating instruments, and updating software. Real-time feedback ensures optimal diagnostic accuracy, fault identification, and avionics performance.

Tool Usage and Aircraft Maintenance Techniques

Explore the effective use of advanced tools and techniques in XR-powered aviation maintenance simulations, enhancing precision and efficiency in real-world tasks.

Signal Processing and Filtering Techniques

The Signal Processing and Filtering Techniques module provides virtual tools and interactive exercises to teach students how to process and analyze electrical signals using both digital and analog filtering methods. Through hands-on simulations, students explore signal conditioning, transformation, and noise reduction techniques.