Enhancing Simulation in Social Work Education using Artificial Intelligence: “Social Work Virtual”
Keywords:
social work, social work education, digital social work, virtual social work, simulation-based learning, artificial intelligenceAbstract
Simulation-based learning has long played a pivotal role in social work education. While human-based simulations are most common, computer-based simulations have emerged as a promising alternative. The rise of advanced tools like ChatGPT raises new questions about the potential of artificial intelligence (AI) to enhance simulation-based learning in social work education. In this article, we describe “Social Work Virtual”, an innovative 8-week simulation learning program specifically tailored to develop digital social work competencies under the guidance of experienced clinicians. Drawing insights from the broader literature on AI-driven simulation learning, we consider the potential enhancements AI can bring to simulations like Social Work Virtual. We conclude by considering how social work educators can use AI in future simulations to integrate digital competencies within their professional programs.
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Advances in Social Work & Welfare Education by Australian and New Zealand Social Work and Welfare Education and Research (ANZSWWER) is licensed under CC BY 4.0