基于人工智能的反馈在未来教师咨询能力训练中的应用
AI-Based Feedback in Counselling Competence Training of Prospective Teachers
AI总结：
本研究通过迭代式研讨班将人工智能反馈引入未来教师咨询能力训练，发现非言语与副言语特征显著影响对话质量，证明AI反馈能提供客观可操作的改进依据，为优化教师培训提供了新路径。
摘要：
本研究探讨了利用基于人工智能的反馈来提升未来教师的咨询能力。研究设计了一个迭代式模块化研讨班，融合了理论基础、实践应用以及用于分析言语、副言语和非言语沟通的人工智能工具。该研讨班包含录制的模拟教师-家长对话，随后进行基于人工智能的反馈，并对学生开展质性访谈。研究考察了沟通特征与对话质量之间的相关性、学生对基于人工智能反馈的感知，以及训练人工智能模型以识别对话阶段和技巧的情况。结果表明，非言语和副言语特征与对话质量之间存在显著相关性，且学生对人工智能反馈持积极态度。研究结果提示，基于人工智能的反馈能够提供客观、可操作的见解，以改进教师培训项目。未来工作将聚焦于完善言语技能标注、扩充数据集，并探索更多特征以增强反馈系统。
英文摘要：
This study explores the use of AI-based feedback to enhance the counselling competence of prospective teachers. An iterative block seminar was designed, incorporating theoretical foundations, practical applications, and AI tools for analysing verbal, paraverbal, and nonverbal communication. The seminar included recorded simulated teacher-parent conversations, followed by AI-based feedback and qualitative interviews with students. The study investigated correlations between communication characteristics and conversation quality, student perceptions of AI-based feedback, and the training of AI models to identify conversation phases and techniques. Results indicated significant correlations between nonverbal and paraverbal features and conversation quality, and students positively perceived the AI feedback. The findings suggest that AI-based feedback can provide objective, actionable insights to improve teacher training programs. Future work will focus on refining verbal skill annotations, expanding the dataset, and exploring additional features to enhance the feedback system.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
