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Using generative AI agents for scalable roleplay activities in the health sciences

Reimers, S. ORCID: 0000-0002-9497-0942 & Myers, L. (2024). Using generative AI agents for scalable roleplay activities in the health sciences. In: Beckingham, S., Lawrence, J., Powell, S. & Hartley, P. (Eds.), Using Generative AI Effectively in Higher Education: Sustainable and Ethical Practices for Learning, Teaching and Assessment. (pp. 82-86). London: Routledge. doi: 10.4324/9781003482918-12

Abstract

This chapter discusses the use of generative AI (GenAI) in group roleplay activities for health sciences students’ interprofessional learning. A simple GPT-based roleplay web app was developed, allowing multidisciplinary groups of students to interact with an AI agent playing the role of a patient in a complex case scenario. This provided challenges and dilemmas, prompting students to discuss multi-agency handling of support needs. The approach received positive feedback, with high engagement, minimal embarrassment, and emotional connection with the GenAI patient. Limitations such as GenAI compliance and scenario dynamics were identified and discussed, along with potential solutions and broader issues.

Publication Type: Book Section
Additional Information: This is an Accepted Manuscript of a book chapter published by Routledge in Using Generative AI Effectively in Higher Education on 14 June 2024, available online: https://doi.org/10.4324/9781003482918.
Subjects: L Education > LB Theory and practice of education > LB2300 Higher Education
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
Departments: School of Health & Psychological Sciences
School of Health & Psychological Sciences > Psychology
SWORD Depositor:
[thumbnail of Reimers_SEDA _March_2024.pdf] Text - Accepted Version
This document is not freely accessible until 14 June 2025 due to copyright restrictions.

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