Viat-map: A Constructivist, Toulmin-Based Framework for Enhancing EFL Reading Comprehension

Abstract

This paper introduces Viat-map, a technology-enhanced learning tool designed to improve EFL learners’ reading comprehension by guiding them in reconstructing argumentative structures using Toulmin’s model. Viat-map’s closed-ended, visual interface scaffolds learners through claim, ground, and warrant identification, promoting active engagement and reflection. Experimental results demonstrate that learners using Viat-map significantly outperform those using traditional summarization methods in both immediate and delayed comprehension assessments. Log data analysis further reveals that iterative feedback cycles enhance learners’ accuracy, while behavioral profiles show varied engagement patterns linked to learning outcomes. The latest AI-enhanced Viat-map incorporates adaptive learning pathways and gamification, enabling personalized pacing and richer insights into learner processes. Together, these findings highlight Viat-map’s potential as a data-informed, defensible platform for fostering critical thinking and argumentation skills in multilingual educational contexts.