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University / College

Learning Objectives

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

Learn essential bioinformatics methods for analyzing biological data, such as DNA sequence alignment, gene prediction, and protein structure analysis.
Use virtual lab tools to simulate real-world scenarios in genome analysis and pathway mapping.
Explore interactive tutorials on popular bioinformatics software like BLAST, protein databases, and molecular docking simulations.
Model complex biological pathways in virtual environments to understand cellular interactions and metabolic networks.
Analyze experimental data to determine relationships between genes, proteins, and biological functions.

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.

Bioinformatics and Computational Biology

Relevant Course Packages All Course Packages →

Ladder use

Enhance your skills in safely using ladders for various tasks, with XR simulations for correct placement, climbing techniques, and safety measures.

Robotics and Mechatronics Integration

Provide students with hands-on experience in designing, programming, and integrating robotic systems with mechanical components through immersive XR simulations. Students will work with virtual robotic arms and mechatronic systems, programming movements, adjusting sensors, and controlling actuators. The simulation includes interactive scenarios for integrating mechanical and electronic systems using sensors, motors, and control logic. Students will receive real-time feedback on robotic precision, response time, and the overall performance of the integrated systems.

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.

Control System Design and Tuning

Explore the design, simulation, and tuning of control systems for mechanical and electrical applications. Through interactive simulations, students will design feedback control systems using PID (Proportional-Integral-Derivative) controllers to regulate variables such as speed, temperature, or position. Real-time feedback will help students evaluate control system stability, response times, and error minimization for optimal system performance.

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.

Health Assessment Across the Lifespan

The Health Assessment Across the Lifespan module provides nursing students with virtual experiences to master comprehensive health assessments for patients of all ages. Through interactive simulations and tutorials, students practice conducting physical examinations, obtaining medical histories and performing head-to-toe assessments while learning to recognize age-specific health variations and develop effective care plans.

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.