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Related Experiment Video

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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

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Published on: August 26, 2018

Planning simulation space needs in uncertain contexts.

Catherine Tann¹, Richard Bates²

¹Health Faculties Central, King's College London, London, UK.

BMJ Simulation & Technology Enhanced Learning

|May 6, 2022

Summary

This summary is machine-generated.

A new model predicts King's College London's Simulation and Interactive Learning (SaIL) centre space demand will double, requiring more diverse simulation and debriefing rooms. This aids effective resource allocation for future educational needs.

Keywords:

curriculum decision-making managing performance simulation center operations/administration simulation-based education

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Area of Science:

Medical Education
Healthcare Simulation
Educational Planning

Background:

King's College London utilizes a Simulation and Interactive Learning (SaIL) centre for approximately 5500 students.
The current SaIL centre was designed for needs different from current and future demands.
Management faces challenges in planning for evolving regulatory, curricular, and technological requirements.

Purpose of the Study:

To develop a predictive model for simulation centre space demand.
To inform strategic planning for current and future student numbers and educational activities.
To align physical space capacity with evolving simulation-based education needs.

Main Methods:

A structured approach combining university data and module leader interviews.
Development of assumptions regarding target student numbers, group sizes, and simulation centre usage.
Application of an algorithm to a room-use profile, calculating overall space demand based on student activity over one year.

Main Results:

The demand for SaIL rooms is projected to nearly double by 2022/2023.
A shift in the required mix of spaces is anticipated, necessitating more rooms for simultaneous, diverse immersive simulations.
An increase in associated debriefing spaces is also projected.

Conclusions:

The model effectively links strategic vision and business targets to physical space requirements.
It promotes more effective financial resource utilization by preventing over or under-provisioning of facilities.
The quantified model enhances discussions on future aspirations and the feasibility of meeting them, while emphasizing the importance of build flexibility.