Chia-Chin Chen
National Center for High-performance Computing, National Institutes of Applied Resesearch
E-mail：chester@nchc.org.tw
Yu-Ching Lin
National Center for High-performance Computing, National Institutes of Applied Resesearch, Research Assistant
E-mail：1203043@narlabs.org.tw
Jyh-Horng Wu
National Center for High-performance Computing, National Institutes of Applied Resesearch, Research Fellow
E-mail：c00jhw00@narlabs.org.tw
Abstract
Generative AI, such as ChatGPT, is gaining increasing attention for its applications in language learning. While ChatGPT’s text and speech functionalities have been widely used in English teaching, its image generation capabilities remain underutilized. This study integrates DALL·E, an image-generation AI available through ChatGPT, with the mind mapping method to design creative “association maps” aimed at enhancing English vocabulary retention. The “association maps” link target vocabulary words with familiar word strings and use AI-generated illustrations to transform these words into contextualization images. This approach helps students memorize vocabulary through visualization and whole-mind thinking. The “association maps” not only enhance vocabulary retention but also allow students to experience the joy of creation and the stimulation of brainstorming through the process of making and sharing the maps. This transforms the tedious learning process into something lively and engaging, boosts motivation for vocabulary learning, and improves lexical proficiency.
Keywords：Generative AI、Ｍind mapping、English learning、Ｄigital learning