jump to navigation

British Congress Presentation: AI for Healthcare Training 11/06/2024

Posted by abasiel in Uncategorized.
Tags: , , , , ,
trackback
Introduction Video – British Congress 2024: Dr Anthony ‘Skip’ Basiel www.britishcongress.co.uk.

AI and Big Data Session: 27 June 2024
‘An Artificial Intelligence (AI) Learning Simulation Model to Support Healthcare Professionals’ – Dr Anthony Basiel

This research explores ways to use AI integrated in a learning simulation. The aim is to measure the impact of using AI on the confidence level of healthcare professionals doing continuous professional development (CPD) training.

Learning and development events are recorded and auto-transcribed during a 4-stage process:

Stage 1: Pre-test – First we establish the learner’s prior knowledge. Stakeholders complete a quiz that sets the baseline of the academic and tacit (hands-on) knowledge. The questions are generated from the Tutor and Learners aided by an AI agent.

Stage 2: Simulation – A real-world scenario or role-play simulation based on the training learning objectives is used to test the application of the healthcare professional’s knowledge and skills. An AI generator is used by the Tutor to produce a draft of the script for the Facilitator(s). The learners respond to the prompts of the facilitator(s) to demonstrate their expertise and skills in the context of the problem addressed. The event is recorded.

Stage 3: Debriefing – After the role-play a pair of Simulation Evaluators (SE) moderate a debriefing discussion group. This Socratic circle model produces evidence to validate the healthcare professional’s capability and confidence level. One SE is human asking empathetic prompts. An AI generated digital twin provides generic debriefing questions through a computer webinar interface.

Stage 4: Evaluation – The learning outcomes are mapped to the transcript text with assistance from an AI agent. The simulation debriefing results are matched to the starting quiz marks to determine the level of learning. An online survey is used to get quantitative and qualitative data to measure confidence levels of the professionals.

This interactive presentation will give the audience an opportunity to contribute to an online survey to compose a pre-simulation quiz question with a correct multiple choice solution that is linked to a reference by using an AI agent.


Hello Congress Delegates. I hope this video introduction finds you well.

I am Dr Anthony ‘Skip’ Basiel from the School of Computing Science at Bournemouth University, Dorset – UK. My research explores blended learning solutions to promote creativity and innovation for healthcare professionals. Recently I was a Post-doc Research Fellow at the Faculty of Health and Social Science where I investigated various technologies and learning designs for face-to-face and online learning simulations. My Doctorate in Learning Technology Design has provided a strong pedagogic and technical foundation to research and develop immersive webinar designs using blended Socratic discussion circles with augmented reality.

I’m presenting my keynote entitled, ‘An Artificial Intelligence (AI) Learning Simulation Model to Support Healthcare Professionals’ Continuing Professional Development’ at the IKSAD British Congress.

With over 60 international publications since 1996, I invite you to visit my website at https://abasiel.uk where you can find journal papers, online learning toolkits and interactive web video tutorials to sample. Please do email abasiel@gmail.com if you are interested in collaborating on any research projects.

I look forward to meeting you in London on the 27th June and encourage you to register for this global event at: www.britishcongress.co.uk.

Thanks for your interest.

Comments»

No comments yet — be the first.

Please email abasiel@gmail.com with any questions.

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Discover more from Dr Anthony 'Skip' Basiel - Blended Learning Solutions

Subscribe now to keep reading and get access to the full archive.

Continue reading