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University / College

Learning Objectives

At the end of this simulation, you will be able to:
  • Learn the causes and effects of ESD on semiconductor devices and circuits.
  • Explore the vulnerabilities of devices to static electricity during manufacturing and assembly.
  • Gain hands-on experience in using anti-static equipment such as wrist straps, mats, and ionizers.
  • Practice proper grounding techniques and procedures to minimize charge buildup in working environments.
  • Analyze virtual scenarios showcasing ESD damage during key stages like wafer processing, testing, and packaging.
  • Learn how to identify high-risk situations and implement corrective measures.

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

Machine Maintenance and Troubleshooting

Engage in XR-driven simulations for machine maintenance, lubrication, and troubleshooting. Students will virtually perform preventive maintenance tasks such as oiling, cleaning, and inspecting machines for wear. Interactive scenarios will guide them through diagnosing and resolving common machining issues like chatter, tool breakage, misalignment, and poor surface finish. Real-time feedback on maintenance quality, machine performance, and troubleshooting accuracy helps refine their skills in maintaining and optimizing machine functionality.

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.

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.

Environmental Engineering and Sustainability

Explore the principles of environmental engineering and sustainable design to address environmental challenges.

Bioinformatics and Computational Biology

Explore bioinformatics tools and computational biology concepts through immersive XR experiences. Analyze biological data, model complex systems, and gain hands-on experience in DNA sequencing, protein structure analysis, and pathway mapping with interactive virtual labs and tutorials.

Pipe Hydrant Maintenance

Enhance your knowledge and practical skills in the maintenance and repair of pipe hydrants, exploring essential tasks such as valve operation, leak detection, and system testing, with XR simulations for realistic hands-on training.

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.

Platform Features

Unlimited users faculty & students
Unlimited users faculty & students
Simulations
Simulations
Pedagogy Experts
Pedagogy Experts
Gamification
Gamification
Multiplayer
Multiplayer
Networking
Networking
Assignments
Assignments
Auto Grading
Auto Grading
AI
AI
LMS Integartion
LMS Integartion
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