人工智能背景下社会工作循证实践教育模式研究  

Research on Educational Models for Evidence-based Practice in Social Work in the Context of Artificial Intelligence

作　　者：季琳[1] JI Lin(Luoyang Normal University,Luoyang Henan 471000,China)

机构地区：[1]洛阳师范学院,河南洛阳471000

出　　处：《湖北开放职业学院学报》2025年第8期169-170,179,共3页Journal of Hubei Open Vocational College

基　　金：河南省高校人文社会科学研究一般项目“社会工作参与基层社会治理的实践逻辑研究”阶段性成果(项目编号:2024-ZZJH-260);河南省软科学研究计划项目“河南省乡村社会治理共同体建设的民主协商机制研究”阶段性成果(项目编号:242400410236)。

摘　　要：在人工智能背景下,社会工作循证教育模式在提升学生专业实务水平、减少学生专业服务设计方案中的失误、提升社会工作教师教学决策的精准性、反哺教师教育研究等方面具有显著优势。研究构建了一个包括需求评估、资源评估和目标设定等方面的循证实践教学指标体系和模型,并利用人工智能技术提升评估的精准性。实现循证实践教学的路径包括:建立常态化管理制度,优化资源使用方法,提升教师实践能力和搭建共享平台,旨在推动社会工作教育的科学化和专业化发展。In the context of artificial intelligence,the evidence-based education model in social work demonstrates significant advantages in enhancing students’professional practice abilities,reducing errors in students’service design,improving the precision of social work teachers’teaching decisions,and contributing to educational research.This study constructs an evidence-based practice teaching indicator system and model,encompassing aspects such as needs assessment,resource evaluation,and goal setting,with AI technology enhancing the accuracy of assessments.The paths to achieving evidence-based practice teaching include establishing normalized management systems,optimizing resource utilization methods,improving teachers’practical capabilities,and building shared platforms.These efforts aim to promote the scientific and professional development of social work education.

关 键 词：人工智能 循证社会工作 实践教学 

分 类 号：C916[经济管理]