Dataset on Enhancing Sociopragmatic Competence through AI-Driven Tools: Insights from Real-World Language Interactions

This dataset originates from a study titled “Enhancing Sociopragmatic Competence through AI-Driven YouTube Discourse Analysis: A Data-Driven Tool for Real-World Language Interaction Skills.” The study investigates how AI-based tools can enhance learners' sociopragmatic competence by analyzing authentic discourse from YouTube. Using a mixed-methods approach, the research focuses on key sociopragmatic skills, including politeness strategies, turn-taking, face-saving tactics, and conversational implicature. The dataset includes quantitative assessments from pre- and post-intervention tests, task-based evaluations, and survey responses, as well as qualitative insights gathered from semi-structured interviews. It reflects learners' experiences using AI tools to analyze and practice sociopragmatic strategies in real-world language interactions. Findings from the study demonstrate significant improvements in learners’ sociopragmatic awareness and competence, offering evidence of AI's potential to bridge theoretical knowledge and practical application in language learning. This dataset provides a comprehensive resource for educators, researchers, and developers seeking to leverage AI for enhancing language education.本数据集源自一项题为《基于人工智能驱动的YouTube话语分析提升社交语用能力：面向真实语言交际技能的数据驱动工具》的研究。该研究旨在探究人工智能工具如何通过分析YouTube平台上的真实话语语料，提升学习者的社交语用能力（sociopragmatic competence）。本研究采用混合研究方法，聚焦于核心社交语用技能，包括礼貌策略、话轮转换、面子保全策略以及会话含意。本数据集包含干预前后测试的量化测评结果、任务型评估数据与问卷反馈，同时涵盖从半结构化访谈中获取的质性研究洞察。该数据集反映了学习者借助人工智能工具分析、练习真实语言交际场景下社交语用策略的实践体验。本研究结果显示，学习者的社交语用意识与能力得到了显著提升，为人工智能在语言学习领域架起理论知识与实践应用之间的桥梁提供了实证支撑。本数据集为希望借助人工智能优化语言教育的教育工作者、研究人员与开发者提供了一套全面的研究资源。