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Learning Objectives

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

By the end of this module, students will be able to:

Conduct thorough patient evaluations, including symptom analysis and health status assessment.
Monitor key parameters such as blood pressure, pulse, respiration rate, and body temperature in virtual scenarios.
Analyze vital sign readings to identify abnormalities and understand their clinical significance.
Evaluate patient-reported pain levels and symptoms to determine appropriate care priorities.
Utilize collected data to make sound clinical decisions, enhancing patient care outcomes.

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.

Patient Assessment and Vital Signs Monitoring

Relevant Course Packages All Course Packages →

Machining Tolerances and Fits

Explore XR-based simulations for machining parts to meet specified tolerances and selecting appropriate fits for mating components. Students will interact with virtual machining scenarios, adjusting parameters to achieve precise tolerances, whether it's clearance, interference, or transition fits. This experience provides a deeper understanding of machining precision, helping to avoid the production of undersized or oversized parts. Real-time feedback ensures that users can evaluate part quality, tolerance control, and fit accuracy for optimal machining results.

Airway Management and Ventilation

Equip students with the skills needed for effective airway management and ventilatory support in critical patients through XR-powered simulations. Students will practice intubation, using bag-valve masks (BVM), inserting airway adjuncts, and managing oxygen levels in emergency respiratory situations.

Yield Optimization and Defect Reduction

Explore yield optimization and defect reduction through interactive XR simulations. Analyze manufacturing data, address common defects like contamination and etching errors, and implement strategies to improve process efficiency, product yield, and defect minimization.

Patient Preparation and Draping Simulation

Train students on proper patient preparation and draping techniques to maintain a sterile field and ensure patient safety before surgery.

Soldering and Pipe Joining Simulation

Learn how to properly join pipes using techniques like soldering, brazing, and push-to-connect fittings. This simulation provides virtual practice in soldering copper pipes, selecting appropriate flux and heat sources. It also covers other joining techniques such as compression fittings, solvent welding for PVC, and press fittings for PEX. Feedback is given on joint strength, leakage prevention, and adherence to safety standards.

Smart Grid and Internet of Things (IoT) Integration

The Smart Grid and Internet of Things (IoT) Integration module trains students on integrating smart grid technology with IoT devices in electrical systems. Through interactive virtual simulations, students explore the design, communication, and management of smart grid components, focusing on scalability, security, and energy efficiency.

LMS Integration

imaginX seamlessly integrates with leading LMS (Learning Management Systems), enabling educators to track student performance and allowing students to maintain their work records. It is compatible with popular platforms such as Canvas, Blackboard, Moodle, Google Classroom, Schoology, Sakai, Brightspace/D2L, and can also be used independently of an LMS.