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Submission information
Submission Number: 194
Submission ID: 1271
Submission UUID: ca1998a9-5854-41b0-9403-73f2cf96822a
Submission URI: /2025/abstracts
Created: Thu, 06/26/2025 - 09:14
Completed: Thu, 06/26/2025 - 09:46
Changed: Fri, 08/08/2025 - 07:09
Remote IP address: 197.89.8.152
Submitted by: Anonymous
Language: English
Is draft: No
Current page: Complete
Webform: Abstract
Presenters
Dr.
Chiba
Jenita
University of pretoria
Jenita Chiba is currently a lecturer in the Department of Social Work and Criminology at the University of Pretoria. She holds a PhD in Social Work from the University of Johannesburg, where her study looked at evaluating a pilot family- and community-based intervention (The Sihleng’imizi Family Programme). She is the programme manager for the Master's in Play-based interventions programme and teaches on the undergraduate child and family care module. She has also worked for the Centre for Social Development in Africa, where she developed a keen research interest in the areas of families, poverty, adolescent HIV/AIDS and prevention programmes.
No
Abstract
Student Perceptions and Engagement with AI Role Play as an Experiential Learning Tool in Social Work Education
THEME 6: Main-streaming Digital and Assessment Tools in Social Work Practice
SUB 6.2 Evaluating the effectiveness of digital tools in Social Work practice.
Oral Presentation
Social work, as a profession and academic discipline, is dedicated to advancing social change, enhancing cohesion, and empowering individuals, families, and communities (IFSW, 2014). Essential to social work training is experiential learning, which involves supervised in-service training. At the University of Pretoria, Master's in Social Work (MSW) Play Therapy (Play-based intervention) students are required to complete a supervised practical with child clients. Before this, in the class, students are provided opportunities to engage in role-plays, to integrate theory with practice. The recent introduction of ClickUP Ultra's AI Conversations feature offered a novel experiential learning opportunity for the 2025 students. This presentation explores student perceptions and engagement with AI role-play as a preparatory tool, its effectiveness in helping them transition from theoretical knowledge to practical application before their work with child clients. This exploration aims to understand AI's potential in enhancing the MSW social work education and readiness for practice.
Reviewer ONE Feedback
Prof
John
Rautenbach
Yes
Education
Accepted
Reviewer TWO Feedback
Dr
Nthabiseng
Latakgomo
Yes
Education
Accepted