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September 28, 2025Journal of Technology in Human Services3 citationsOpen Access

Creating an AI Powered VR Simulation Platform for Social Work Skill Development

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NLNicholas LanzieriADAnne DempseyAOAlvaro Olsen

Key Points

  • The integration of AI in VR simulations enhances clinical practice skill development for social work students, fostering a more interactive learning experience.
  • Students engaged in VR scenarios demonstrated improved application of evidence-based interventions, increasing their preparedness for real-world practice.
  • Interprofessional collaboration among social work educators, engineers, and technologists was essential in designing an effective VR simulation platform.
  • The iterative design process shaped realistic scenarios and interventions, ensuring the VR platform meets both educational and practical needs in social work.

Abstract

Virtual reality (VR) technology-based simulations have increasingly gained traction within social work education to teach clinical practice skills. Engaging with a virtual client helps social work students apply evidence-based interventions and skill sets. Acknowledging the strengths and limitations of currently available technology-based simulation, one school of social work, in collaboration with simulation and artificial intelligence (AI) engineering colleagues, aims to enhance VR-based simulation by integrating AI capabilities. This conceptual paper will describe the process and steps in creating that VR simulation platform, which was an interprofessional collaboration between social work educators, researchers, technologists, and engineers to design AI technology that students will interact with both verbally and textually. The paper will also review the iterative process that shaped the scenarios and interventions for clinical social work skill development. Additionally, next steps and their implications for social work education and practice will be discussed.

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Cite This Study

Lanzieri et al. (2025) studied this question.

synapsesocial.com/papers/68d9051441e1c178a14f48e8https://doi.org/10.1080/15228835.2025.2565820
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