Big Data-Driven Resilience Research Among Rural Children in Underdeveloped Areas: A Perspective of Spiritual Social Work Intervention

Abstract

Big data technology has become an important tool to promote the localization of social work. Social work intervention driven by big data is characterized by strong timeliness and professionalism. In this context, rural children face multiple difficulties in their growth process, which has a profound impact on their academic performance and life development. Resilience, as an individual's coping strategy in the face of stress and adversity, is of great significance to the healthy growth of rural children. Based on the perspective of spiritual social work theory, through field research in a primary school in Y County, H Province, this study interprets the resilience patterns of 20 rural children and conducts social work intervention. It is found that intervention in group work can help promote the healthy transformation of their resilience patterns, and the intervention techniques in spiritual social work can help improve the resilience level of rural children. Big data analysis provides a new perspective and logic for the intervention research of rural children's resilience. In addition, this study attempts to discuss the social support system of rural children and proposes a three-level system architecture of "distant guidance - element support - value-driven".