用AI生成互动故事，帮助外语学习者在玩中学英语。
GenQuest: An LLM-based Text Adventure Game for Language Learners
- 基于大模型动态生成可交互的英文冒险故事。
- 学习者选择影响剧情，系统根据水平自动调整难度。
- 支持实时词句解释，适合想提升词汇量的初学者。
GenQuest 是一个基于大语言模型（LLMs）的生成式文本冒险游戏，通过沉浸式互动叙事促进第二语言学习。该系统让英语作为外语（EFL）的学习者以“自选剧情”方式参与动态生成的故事，游戏机制包括分支决策点和里程碑，确保叙事连贯的同时允许学习者主导情节发展。关键教学功能包括根据学习者水平定制内容，并提供针对查询文本（如单词、短语或句子）的上下文词汇解释。一项针对中国大学生的试点研究显示，学习者词汇量显著提升，且对系统评价积极。参与者也提出建议，希望增加叙事长度与质量，并引入图文等多模态内容。
原文摘要 · Abstract (English)
GenQuest is a generative text adventure game that leverages Large Language Models (LLMs) to facilitate second language learning through immersive, interactive storytelling. The system engages English as a Foreign Language (EFL) learners in a collaborative "choose-your-own-adventure" style narrative, dynamically generated in response to learner choices. Game mechanics such as branching decision points and story milestones are incorporated to maintain narrative coherence while allowing learner-driven plot development. Key pedagogical features include content generation tailored to each learner's proficiency level, and a vocabulary assistant that provides in-context explanations of learner-queried text strings, ranging from words and phrases to sentences. Findings from a pilot study with university EFL students in China indicate promising vocabulary gains and positive user perceptions. Also discussed are suggestions from participants regarding the narrative length and quality, and the request for multi-modal content such as illustrations.
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