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Future AI-WTC research should use longitudinal designs, triangulated WTC measures, diverse samples, comparative tool research, pedagogically guided AI integration, and theory-driven models

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The review identifies five interrelated gaps across methodological, contextual, population, technological, and theoretical dimensions and highlights "the need for longitudinal designs, triangulated WTC measures, diverse learner samples, comparative AI tool research, pedagogically guided AI integration, and dynamic, theory-driven integrated models". These directions aim to advance evidence-based AI integration for enhancing EFL learners' WTC and provide guidance for teachers, curriculum designers, and AI developers.

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type strategy
id ai-wtc-future-research-directions
title Future AI-WTC research should use longitudinal designs, triangulated WTC measures, diverse samples, comparative tool research, pedagogically guided AI integration, and theory-driven models
description The review identifies five interrelated gaps across methodological, contextual, population, technological, and theoretical dimensions and highlights "the need for longitudinal designs, triangulated WTC measures, diver...
status review
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — zhang-s-2026

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