AI-Powered ReadTheory as a Self-Access Learning Platform to Enhance EFL Learners’ Reading Enjoyment and Comprehension Skills: A Posthumanist Perspective
Year: 2025
Type: article
Abstract: The growing body of research on AI tools in ELT suggests that more studies are needed to fully realize the potential of AI tools, particularly as a self-access language learning (SALL) platform. This mixed-method study focused on how the use of ReadTheory, a web-based AI-powered tool, as a SALL platform, can enhance EFL learners’ reading enjoyment and comprehension skills. To this end, data were collected through pre-and post-surveys, as well as open-ended questions from 54 Thai EFL university students who willingly participated in a one-month SALL program. The analysis of quantitative data revealed that the use of ReadTheory as a SALL platform significantly enhanced learners’ reading enjoyment and comprehension skills. The thematic analysis of qualitative data discovered that participants viewed ReadTheory as a promising AI-powered SALL platform. They noted several benefits of ReadTheory, including its user-friendly interface, language skill development, adaptability, instant feedback, engaging experience, and ability to foster critical thinking. However, they also pointed out a few limitations of ReadTheory, such as limited explanations for incorrect answers, an over-reliance on multiple-choice questions, and minimal interactivity. This study concludes with some theoretical and practical implications of ReadTheory as a SALL platform.
DOI: 10.37237/160209
Authors: Thinley Wangdi, Ringphami Shimray
Language: English
Subfield: Language and Linguistics
Field: Arts and Humanities
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4411778827