Skip to main navigation Skip to search Skip to main content

The Impact of AI Image Generator on Traditional Visual Learning: New Possibilities in English Language Learning

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

English learning has always been a crucial topic in the global education sector. The advancement of technology has not only transformed the methods of learning but has also introduced new possibilities for English language acquisition. Traditionally, using images to enhance learners’ memory of vocabulary has been an effective method. However, for some abstract words, conveying semantics remains a challenge. With the emergence of AI technology, particularly the application of AI drawing tools, we now have an innovative way to present words. It is anticipated that this approach will have a positive impact on English learning. This study is expected to adopt the concept mapping method combined with the affinity diagram approach. It will be systematically organized and analysed to select five abstract vocabulary terms related to English proficiency tests. Subsequently, AI drawing tools will be employed to generate corre-sponding images. Following this, a semi-structured interview approach will be utilized to gain an in-depth understanding of users’ perspectives on the application of AI drawing tools in English learning and their actual impact on English learning outcomes. The goal of this research is not only to examine the possibility of AI drawing technology replacing traditional images to aid in the memorization of abstract words but also to focus on users’ subjective feelings and opinions. We anticipate that the results of this study will provide more innovative and practical approaches to the field of English learning while enriching and expanding existing learning concepts.

Original languageEnglish
Title of host publicationApplied Human Factors and Ergonomics International
PublisherAHFE International
Pages205-215
Number of pages11
DOIs
Publication statusPublished - 2024

Publication series

NameApplied Human Factors and Ergonomics International
Volume155
ISSN (Electronic)2771-0718

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Management Science and Operations Research
  • Engineering (miscellaneous)
  • Safety, Risk, Reliability and Quality

Cite this