Enhancing Resilience and Mental Well-Being Through AI Using WYSA Among Prospective Teachers

This experimental study explores the effectiveness of Wysa, an AI-powered mental health application, in enhancing resilience and mental well-being among prospective teachers. A total of 60 teacher trainees were randomly assigned to either an experimental group (n=30) or a control group (n=30). The experimental group engaged with the Wysa app daily for six weeks, while the control group received no digital mental health support during the same period. Standardized instruments—the Connor-Davidson Resilience Scale (CD-RISC) and the Warwick-Edinburgh Mental Well-being Scale (WEMWBS)—were administered pre- and post-intervention. The post-test analysis revealed statistically significant improvements in the experimental group’s resilience (M=72.4, SD=6.8) and mental well-being scores (M=59.8, SD=5.1) compared to the control group (Resilience: M=66.3, SD=7.2; Well-being: M=52.6, SD=6.3), with p-values < 0.01. These findings suggest that AI tools like Wysa can serve as effective, accessible mental health interventions for prospective teachers, supporting their emotional resilience and psychological well-being during their formative training period.