Innovative Pedagogy in Preparing Social Work Students for Artificial Intelligence Integration: Tools or Threat - Opportunities and Challenges

Abstract

As Artificial Intelligence (AI) transforms industries, the social work sector is increasingly leveraging AI-driven tools to enhance service delivery, improve decision-making, and address complex societal issues. Preparing students as future social workers to adapt to this technological shift requires innovative pedagogical approaches that integrate AI education with core social work values and practices. Based on a research with 102 Social Work students and 211 Social Workers in Singapore to understand their attitudes, experience and receptiveness towards the use of AI, the pedagagy had been reviewed and revised to prepare students towards greater readiness in the adoption of AI before they enter the workforce. This paper highlights the critical role of innovative pedagogy in equipping social work students with the knowledge, skills, and ethical frameworks needed to navigate AI adoption effectively. By incorporating interdisciplinary learning, experiential training, and critical reflection, educators can foster digital literacy, ethical awareness, and adaptability among students. Practical examples, including simulations of AI-assisted case management and collaborative projects with technology experts, will demonstrate how such pedagogies prepare students to balance technological efficiency with human-centered care. Through this exploration, we gain insights into reimagining social work education to bridge the gap between technological advancements and the profession’s commitment to social justice, empowerment, and inclusion.

Presenters

Terence Yow
Senior Lecturer, S R Nathan School of Human Development, Singapore University of Social Sciences, South West, Singapore