用多模态大模型辅助二语词汇记忆，提升学习者自主构建联想的能力。
WordCraft: Scaffolding the Keyword Method for L2 Vocabulary Learning with Multimodal LLMs
- 基于多模态大模型，分步引导用户选择关键词、构建关联和生成图像。
- 用户研究显示，该工具在保持记忆效果的同时显著提升使用体验。
- 特别适合汉语母语者学习英语词汇，解决传统方法中联想难的问题。
对于以汉语为母语的英语二语学习者而言，应用关键词法进行词汇记忆仍面临诸多挑战：难以生成音似关键词，难以构建连贯联想，也缺乏生动的心理意象来促进长期记忆。现有方法如完全自动化生成或结果导向的助记工具，要么降低学习参与度，要么缺少过程指导。为此，我们对18名汉语母语-英语二语学习者及教育工作者进行了形成性研究，揭示了应用关键词法的关键困难与需求。在此基础上，提出由多模态大语言模型驱动的互动式学习工具WordCraft，通过引导学习者完成关键词选择、关联构建和图像生成三步，有效支撑关键词法的实施。两次用户研究证实，WordCraft不仅保留了生成效应，还实现了高记忆效果与良好可用性。
原文摘要 · Abstract (English)
Applying the keyword method for vocabulary memorization remains a significant challenge for L1 Chinese-L2 English learners. They frequently struggle to generate phonologically appropriate keywords, construct coherent associations, and create vivid mental imagery to aid long-term retention. Existing approaches, including fully automated keyword generation and outcome-oriented mnemonic aids, either compromise learner engagement or lack adequate process-oriented guidance. To address these limitations, we conducted a formative study with L1 Chinese-L2 English learners and educators (N=18), which revealed key difficulties and requirements in applying the keyword method to vocabulary learning. Building on these insights, we introduce WordCraft, a learner-centered interactive tool powered by Multimodal Large Language Models (MLLMs). WordCraft scaffolds the keyword method by guiding learners through keyword selection, association construction, and image formation, thereby enhancing the effectiveness of vocabulary memorization. Two user studies demonstrate that WordCraft not only preserves the generation effect but also achieves high levels of effectiveness and usability.
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