用工作中的AI提问生成英语练习题，让职场英语学习更高效。
LingoQ: Bridging the Gap between EFL Learning and Work through AI-Generated Work-Related Quizzes
- 根据工作中使用的LLM提问自动生成个性化英语测验。
- 28名EFL工作者参与三周测试，新手学习效果显著提升。
- 适合希望在工作场景中自然提升英语的职场人士。
非母语英语使用者在工作中执行英语任务时，尽管有学习意愿，却难以持续进行EFL学习，常因学习材料与工作场景脱节。我们的形成性研究发现，现有系统在下班后回顾工作相关英语内容尤为负担沉重。虽然员工依赖基于LLM的助手满足即时需求，但这些交互未必直接提升英语能力。我们提出LingoQ，一种由AI驱动的系统，利用员工工作中的实时LLM查询生成个性化英语测验，支持其在智能手机上复习和练习。通过为期三周的部署研究，28名EFL工作者参与验证。参与者高度认可测验的质量与工作情境关联性，持续使用该应用。这种主动参与提升了自我效能感，并使初学者实现学习进步，对中级学习者亦可能有效。基于结果，我们探讨了如何借助员工对LLM日益增长的依赖，在尊重工作边界与伦理的前提下，促进语言熟练度与参与度的设计启示。
原文摘要 · Abstract (English)
Non-native English speakers performing English-related tasks at work struggle to sustain EFL learning, despite their motivation. Often, study materials are disconnected from their work context. Our formative study revealed that reviewing work-related English becomes burdensome with current systems, especially after work. Although workers rely on LLM-based assistants to address their immediate needs, these interactions may not directly contribute to their English skills. We present LingoQ, an AI-mediated system that allows workers to practice English using quizzes generated from their LLM queries during work. LingoQ leverages these on-the-fly queries using AI to generate personalized quizzes that workers can review and practice on their smartphones. We conducted a three-week deployment study with 28 EFL workers to evaluate LingoQ. Participants valued the quality-assured, work-situated quizzes and constantly engaging with the app during the study. This active engagement improved self-efficacy and led to learning gains for beginners and, potentially, for intermediate learners. Drawing on these results, we discuss design implications for leveraging workers' growing reliance on LLMs to foster proficiency and engagement while respecting work boundaries and ethics.
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