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Measuring the Impact of Meta-AI on English Reading Comprehension Score Enhancement

A Study Within Social Media Application

Bibliographic Data

ID21807286
AuthorsBadr Allehyani (Umm al-Qura University), Abduh Almashy (0000-0001-6191-3696, Umm al-Qura University), Mohammad Jamshed (0000-0003-3778-7225, Prince Sattam Bin Abdulaziz University), Sameena Banu (0000-0001-8718-5148, Prince Sattam Bin Abdulaziz University)
Year2025
Volume15
Issue2
Pages615-623
Publication date2025-02-01
Open AccessYes
TypeARTICLE
VenueTheory and Practice in Language Studies (JOURNAL)
Journal identifiersISSN: 1799-2591 • E-ISSN: 2053-0692
PublisherAcademy Publication (PUBLISHER • GB)
DOI10.17507/tpls.1502.31
OpenAlexW4407065673
LanguageEN
Citations received1

The integration of AI with social media platforms is significantly influencing English language skills, reshaping how users engage with and learn the language. So far, no studies have specifically examined how AI affects English reading for first-year non-English major undergraduates in Saudi Arabia. This study investigates how Meta-AI combined with WhatsApp enhances reading comprehension. Two intact classes were randomly chosen and assigned to experimental (N=43) and control (N=49) groups in a quasi-experimental study. The experimental group received instruction through AI-enhanced social media, namely WhatsApp, while the control group continued with a conventional approach. Data were collected before and after treatment. Statistical analysis revealed that the experimental group enhanced reading comprehension significantly more than the control group, which received conventional teaching. The study implies that integrating AI with social media platforms like WhatsApp can improve substantially English reading comprehension, suggesting a beneficial shift towards technology-driven learning methods in education

Comprehension · Linguistics · Reading comprehension · Social media · World Wide Web · Computer Science · Intelligent Tutoring Systems and Adaptive Learning · Online Learning and Analytics · Psychology · Topic Modeling

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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