| dc.description.abstract | Most studies of EFL writing usually used grammar checking to help EFL learners to check writing errors. However, it is not enough since EFL learners have to learn how to create more meaningful content, particularly using their surroundings in authentic contexts. Therefore, we develop one App, Ubiquitous English (UEnglish), with recognition technology with Image-to-Text Recognition (ITR) texts to provide the vocabulary and description from authentic pictures, and generative-AI that can provide meaningful questions (Q) and clarifications (C) to trigger EFL learners to write more. In addition, EFL learners need to answer the question from AI before they receive the clarification. Hence, we proposed Smart Questioning-Answering-Clarification (QAC) mechanism including three dimensions such as reasoning, communication, and organization to help EFL writing in authentic contexts.
A total of 35 participants were assigned into two groups, experimental groups (EG) with 19 learners and control groups (CG) with 16 learners with/without Smart QAC mechanism support, respectively. In this study, the experiment was conducted over six weeks and we used quantitative analysis methods. The results revealed that the EG with ITR-texts and Smart QAC had a significant difference with CG in the learning behaviors and posttest. Furthermore, EG could write more meaningful words in the assignments. In detail, the EG’s answers of the reasoning and organization dimensions were helpful to enhance their writing in the posttest. In addition, EG learners felt that the Smart QAC mechanism helps them to gain more useful suggestions and enhance their writing. Therefore, the Smart QAC mechanism could facilitate EFL learners to enhance their EFL writing in authentic contexts. | en_US |