Using ChatGPT to Support Case Study Development in Undergraduate Social Work Education
Using ChatGPT to Support Case Study Development in Undergraduate Social Work Education
Roger Suclupe
In an undergraduate social work course focused on working with vulnerable populations, I introduced an innovative assignment that combined artificial intelligence, group collaboration, and critical thinking. The goal was to deepen students’ understanding of social determinants of health, particularly homelessness, impact service delivery and client outcomes.
To facilitate this, I used ChatGPT to generate a broad,
open-ended case study that served as a foundation for student analysis and engagement.
The AI-generated case study presented a client experiencing homelessness. While the
case offered a general overview of the client’s situation, it lacked many of the detailed
elements typically required for a comprehensive assessment. For instance, there was
minimal information about the client’s history, specific needs, strengths, barriers, or
social support system. The case also did not include any suggested interventions,
follow-up strategies, or community referrals.
Rather than seeing this as a weakness, I used the incomplete nature of the case as a
purposeful teaching tool. Students were divided into small groups and tasked with
analyzing the case, identifying gaps, and brainstorming additional information they
would need in order to engage in effective social work practice. They were guided to
consider the ethical, environmental, and systemic factors influencing the client’s
situation and to reflect on how a more complete picture could be formed.
Students quickly identified that the case was missing crucial context, including housing history, access to healthcare, and any mention of culturally relevant factors. They also noted the absence of goals, motivations, or any voice from the client’s perspective. Students worked collaboratively to expand the case by “filling in the blanks,” grounding their additions in class concepts, current evidence-based practices, and local resources.
Students were asked to create a comprehensive plan of care, outlining immediate interventions and long-term supports. This included mental health referrals, housing navigation services, employment support, and culturally competent case management.
Students were also encouraged to identify potential barriers to follow-up and client-centered solutions that respected autonomy and dignity.
The final component involved reflection on what they learned through the process. This
led to thoughtful conversations about the role of social workers in addressing systemic
barriers, advocating for marginalized clients, and collaborating with interdisciplinary
teams.
This assignment not only met course objectives but also introduced students to the role of technology in modern practice. Using ChatGPT as a springboard helped students see
the importance of critical analysis and professional judgment, while still benefiting from
AI’s capacity to generate structured content.
In conclusion, this assignment effectively blended technology, ethics, and critical
thinking in an undergraduate social work setting. It helped students practice holistic
assessment and develop collaborative skills while reinforcing the importance of
comprehensive, equitable, and evidence-based client care.