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Intelligent Simulation: Integrating Artificial Intelligence into Simulation Education

Date: 21 Oct 2022, Fri | Time: 1300 - 1430 | Track Type: Workshop
Format: Face-to-face | Venue: PSL2, Level 2, Academia
Category: Technology & Innovation | Workshop Level: Advanced

Speaker: Mrs Erica Hinojosa


Webster defines artificial intelligence (AI) as “A branch of computer science dealing with the simulation of intelligent behaviour in computers. The capability of a machine to imitate intelligent human behaviour.” Simulation, in a sense, is AI. In the simulation environment, algorithms can be put into place, and based on the learner’s performance, respond in a way that is reactive of the learner’s actions. The integration of AI provides educators with the ability to individualise learning and assessment, both of which are core components of the simulation experience.

The use of AI in healthcare simulation is on the rise. It may range from customised remediation generated after a screen-based simulation to manikins that “learn” to respond to questions posed by students. Online mentors and tutors can guide learners through patient scenarios, directing and cueing them when they go astray. Chatbots can answer questions leading students to discover solutions for case-based learning experiences. Adaptive post simulation quizzes can be administered based on learners’ level of comprehension and ability to apply their knowledge. The integration of AI into the simulation curriculum, however, may pose some challenges, both pedagogical and ethical. The use of AI-equipped manikins can be cost prohibitive as well. Educators may not be willing to embrace the technology associated with the use of AI. Change and innovation are difficult for some. Ethical attributes, such as confidentiality and privacy, must be considered. Also, the validity of the data produced by the application of AI to the content or experience must be verified. This presentation will present some benefits and challenges associated with the use of AI in simulation education.


Learning Outcomes:
  1. Define the concept of Artificial Intelligence (AI) 
  2. Describe the educational value and benefits of using AI in the simulation curriculum
  3. Discuss the challenges associated with the use of AI in the simulation curriculum
             
        

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