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Data file for RaSIL framework study

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DataCite Commons2025-05-14 更新2025-09-08 收录
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https://figshare.com/articles/dataset/Data_file_for_RaSIL_framework_study/29061755
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The Rapid Social Immersive Learning (RaSIL) framework is an innovative pedagogical intervention aimed at rapidly fostering critical competencies in social work students with no prior formal social work training. The RaSIL framework integrates experiential learning through intensive 12-hour immersive fieldwork, enabling students to engage directly with marginalised communities and confront real-world social challenges. Grounded in Kolb's theory of experiential learning, the framework emphasises the development of compassion, social intelligence, and professional readiness in a compressed time frame. The study employed a single-arm pre-post design to assess the impact of the RaSIL framework on 37 first-year Master of Social Work (MSW) students in India. Social intelligence and compassion were measured using the Tromso Social Intelligence Scale (TSIS) and Compassion Scale (CS) before and after the intervention. Results demonstrated significant improvements in social intelligence and compassion scores, with multiple regression analyses highlighting key socio-demographic factors influencing these outcomes. The findings suggest that the RaSIL Framework can effectively cultivate essential competencies in social work students, contributing to their professional development within a constrained educational timeframe. This study offers valuable insights for educators and policymak

快速社交沉浸式学习(Rapid Social Immersive Learning, RaSIL)框架是一项创新性教学干预手段,旨在快速培养无正规社会工作专业背景的社会工作专业学生的核心胜任力。该框架依托12小时沉浸式实地实训整合体验式学习模式,让学生能够直接接触边缘群体,直面真实的社会困境。本框架基于科尔布体验式学习理论,强调在紧凑的时间框架内培育学生的共情能力、社交智能与职业适配素养。本研究采用单组前后测设计,评估了RaSIL框架对印度37名社会工作硕士(Master of Social Work, MSW)一年级学生的干预效果。干预前后,分别采用特罗姆瑟社交智商量表(Tromso Social Intelligence Scale, TSIS)与共情量表(Compassion Scale, CS)对学生的社交智能与共情能力进行测评。研究结果显示,学生的社交智能与共情能力得分均获得显著提升;多元回归分析进一步明确了影响上述结果的关键社会人口学因素。研究结果表明,RaSIL框架可在有限的教育周期内有效培育社会工作专业学生的核心胜任力,助力其职业成长。本研究为教育工作者与政策制定者提供了极具价值的洞见。
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figshare
创建时间:
2025-05-14
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