为辅导新手提供同情心培训:使用机器学习和自然语言处理进行随机对照试验
Wenjun Luo1,2,3, Rui Li1,2,3, Zihan Guo1,2,3
1Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China.
Psychology and psychotherapy
|June 4, 2025
概括
一个人工智能驱动的同情心培训计划改善了新手辅导员的同情心技能. 这种机器学习 (ML) 和自然语言处理 (NLP) 方法对辅导员教育具有前景,尽管自我有效性需要进一步关注.
科学领域:
- 心理学 心理学 心理学
- 计算机科学 计算机科学
- 教育教育教育教育教育教育.
背景情况:
- 对于有效的咨询,同理心至关重要.
- 新手辅导员在培养同情心时经常遇到挑战.
- 传统的培训方法可能无法完全解决同情技能获取的细微差别.
研究的目的:
- 开发和评估一个同情心培训计划.
- 利用机器学习 (ML) 和自然语言处理 (NLP) 来增强同情心.
- 针对技能发展的初学者辅导员.
主要方法:
- 开发了"同理心反"微信小程序,用于实时反.
- 对143名参与者进行了一项随机对照试验 (RCT).
- 使用有用答案问卷 (HRQ) 评估同情心和自我效能.
主要成果:
- 实验小组在同情心和HRQ得分上显示出显著的改善 (p < .05).
- 没有观察到自我有效性得分的显著变化.
- 人工智能驱动的反对同情能力的发展产生了积极的影响.
结论:
- 人工智能集成的培训有效地提高了新手辅导员的同情能力.
- 机器学习和NLP对辅导员教育有潜力.
- 可能需要进一步的策略来提高辅导员的自我效能.
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