W4 | Artificial Intelligence in Health Professions Education: A Practical Guide

Workshop Facilitator Prof. Nabil Zary

Senior Director, Professor of Medical Education

Institute for Excellence in Health Professions Education

MBRU, Healthcare City, Dubai, UAE

Workshop: Artificial Intelligence in Health Professions Education: A Practical Guide

Background: Artificial Intelligence (AI) has evolved throughout the years, developing rapidly in several aspects, with the recent advances in deep learning and artificial neural networks. AI, the term coined by John McCarthy in 1955, is defined as a machine exhibiting intelligent behavior, which includes perceiving, reasoning, learning, or communicating as well as the ability to perform human tasks. AI is a spectrum that consists of, but is not limited to, the following: machine learning, computer vision, natural language processing, and pattern recognition. Over the past 30 years, there have been significant developments of AI in education, better known as Artificial Intelligence in Education. Advances such as teacher bots: teaching assistants tasked to support content delivery, provide feedback, and manage supervision are applications of AI in education. The increased interest in the application of AI in health sciences education brings its own set of challenges. As the degree of digitalization in medical curricula increases, it is therefore timely to provide participants with an opportunity to understand and actively consider leveraging AI in health sciences education.

Who Should Attend?

• Anyone interested in using Artificial Intelligence in Health Sciences Education is invited to participate.
• Individuals involved with planning, design, development, and implementation of technology enabled/enhanced innovations are encouraged to attend.

Structure of Workshop: The workshop will start with

1. An overview of the current state of AI in health sciences education,
2. Followed by small group interactive activities to increase participants’ overall understanding of AI in education.
3. Two further large and small group exercises will allow participants to apply key concepts related to the planning of an AI project, targeting
   1. Curriculum
   2. Learning
   3. Assessment

Intended Outcomes: After this workshop, participants will be able to

• Identify key elements specific to understanding artificial intelligence in health sciences education,
• Describe an approach to designing AI enabled conversational agents
• Outline common strategies and challenges when planning and evaluating AI projects.

Level: Introductory/Intermediate, Duration: 4 Hours

Venue: PC Lab 1 Ground Floor

Health Sciences Center, Kuwait University