AI支持的基于证据的学习在公众演讲技能培养中的评估
An Evaluation of AI-Supported Evidence-Based Learning for Public Speaking Skill Development
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中文总结 AI 辅助
本研究开发了一个结合情境感知反馈和示范演讲的AI系统，通过试点实验证明其能提升公众演讲技能并显著降低焦虑，为AI辅助演讲训练提供了有效方案。
中文摘要 AI 辅助
公众演讲是学术和职业环境中的一项基本技能，但常常引发焦虑。尽管存在多种基于AI的演讲辅导工具，它们通常提供泛泛的反馈，且缺乏可供学习的示范演讲。本研究通过开发一个将演讲情境纳入评估标准的系统来弥补这些不足，从而提供更具针对性的反馈。该系统还生成改进后的示范演讲，包括文本和音频两种格式，以支持基于范例的学习。该系统在一项试点研究中进行了评估，涉及七名本科生，持续一到三周。参与者反复使用该系统，并对同一演讲练习至少三次。结果显示，所有参与者的公众演讲表现均有提升。填充词使用减少，焦虑水平下降了15.3%至34.4%。参与者认为情境感知的反馈和修订后的演讲有用且能增强信心。这些发现表明，情境感知的反馈和示范演讲可以提升公众演讲技能并减少焦虑。未来研究可探索基于视频的演讲中身体行为分析。
英文摘要
Public speaking is an essential skill in academic and professional contexts, but it often causes anxiety. Although several AI-based speech coaching tools exist, they typically provide generic feedback and lack model speeches for learning. This study addresses these gaps by developing a system that incorporates speech context into evaluation criteria, enabling more tailored feedback. It also generates improved model speeches in both text and audio formats to support example-based learning. The system was evaluated in a pilot study with seven undergraduate students over one to three weeks. Participants used the system repeatedly and practiced the same speech at least three times. Results showed improvements in public speaking performance for all participants. Filler word usage decreased, and anxiety levels dropped by 15.3% to 34.4%. Participants found the context-aware feedback and revised speeches useful and confidence-building. These findings suggest that context-aware feedback and model speeches can enhance public speaking skills and reduce anxiety. Future studies could explore video-based analysis of physical behavior during speeches.
