{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"SimCast","title":"Working Smarter, Not Harder: Using AI as Simulation Faculty","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/74360110\"></iframe>","width":"100%","height":180,"duration":1055,"description":"In this episode of SimCast, Lawrence Hill and Tony Jermy explore how simulation educators can use large language models to work smarter, not harder.Rather than focusing on high-cost or bespoke AI simulation platforms, this conversation stays firmly grounded in the pragmatic, everyday use of tools such as ChatGPT and Copilot to support the realities of simulation faculty workloads. The discussion centres on “back-of-house” applications that reduce cognitive load, improve consistency, and free up time for what really matters: learners, facilitation, and quality improvement.#SimCast #Simulation #Podcast #Healthcare #ClinicalSimulation #HigherEducationTimestamps00:00 – Welcome to SimCast and episode overview01:07 – Why this episode exists: time pressure and simulation reality02:07 – Using AI in simulation: beyond the obvious scenario writing02:36 – From AI novelty to embedded daily practice03:02 – ChatGPT vs Copilot: honest reflections and frustrations04:03 – Apple Intelligence, branding brilliance, delivery… less so04:25 – How our use of AI for scenario writing has evolved05:08 – Why paying for AI matters: documents, memory, and projects05:27 – Using projects and settings to tailor AI for simulation work06:06 – Starting with a blank screen: AI as a scenario kick-starter06:23 – The non-negotiable role of fact-checking and human judgement06:47 – Designing simulations from learning outcomes backwards07:32 – Standardising simulation documentation with AI templates07:51 – AI for faculty-facing preparation and organisation08:23 – AI as a personal assistant for busy simulation educators09:06 – Preparing learners for high-stakes simulation assessments09:47 – Scaling individualised rehearsal opportunities for students10:33 – Accuracy, hallucinations, and student-facing risks11:32 – Working smarter vs working ethically with AI12:02 – Why human intelligence still matters12:29 – Using AI to address gaps in confidence and capability13:22 – Naïve vs sophisticated use of AI in...","thumbnail_url":"https://img.transistorcdn.com/broNxRSP9XGjSKUYcliPhqDOL97vHtn2--_L26WDu7s/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQ2MzEyLzE2OTgx/NTA1MTItYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}