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University / College

Learning Objectives

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

Use chromatography techniques in simulations to purify proteins, learning the key factors that affect efficiency and yield.
Learn to interpret experimental data on protein structure, stability, and functional properties.
Use interactive lessons to explore enzyme kinetics, reaction rates, and substrate interactions in a dynamic XR environment.
Conduct virtual experiments to design proteins with specific characteristics, such as increased stability or altered activity.
Study protein folding mechanisms and understand the impact of misfolding on biochemical functions and stability.

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 →

Biomaterials and Tissue Engineering

Immerse students in the properties and applications of biomaterials used in implants, prosthetics, and tissue engineering through innovative virtual labs. Students will interact with biomaterials like polymers, ceramics, metals, and composites, and design tissue scaffolds for regenerative medicine, enhancing their understanding of material selection and biocompatibility.

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.

Geotechnical Engineering and Soil Mechanics

This XR simulation provides students with hands-on training in soil analysis, foundation design, and geotechnical investigation techniques. Virtual soil testing labs allow students to perform essential tests such as the Standard Penetration Test (SPT), Cone Penetration Test (CPT), and triaxial shear tests. The simulation includes interactive scenarios for designing shallow and deep foundations, retaining walls, and methods for slope stabilization. Students receive feedback on soil classification, bearing capacity, settlement predictions, and foundation stability to ensure they understand the fundamental principles of geotechnical engineering.

Aircraft Design and Structural Analysis

Teach students the principles of aircraft design, focusing on aerodynamics, weight distribution, and structural integrity. Explore virtual environments where students can design and analyze key aircraft components such as wings, fuselage, tail, and landing gear. Use interactive tools to perform stress and strain analysis, helping students understand load distribution, material strength, and potential failure points. Receive feedback on design optimization, weight reduction, and ensuring structural stability under various flight conditions.

Mechatronic Systems Troubleshooting Simulation

Provide students with XR-based scenarios to diagnose and troubleshoot common issues in mechatronic systems, including electrical, mechanical, and software faults. Using virtual diagnostic tools like multimeters, oscilloscopes, and logic analyzers, students will identify and resolve system faults such as sensor failures, PLC logic errors, and mechanical misalignments. Real-time feedback will help refine troubleshooting approaches and improve problem-solving efficiency in an immersive XR environment.

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.