Evaluating the Influence of Meta-AI on Enhancing English Reading Comprehension Proficiency: An Experimental Study within a Social Media Application Framework

  • Muhammad Zaman*
  • Ali Asghar Chandio
  • Hira Noor
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Abstract

The integration of artificial intelligence (AI) with social media platforms is increasingly shaping English language acquisition by transforming user engagement and learning processes. However, there is a notable gap in the literature regarding the specific impact of AI on English reading comprehension among second-year undergraduate students in Karachi’s public sector universities. This quasi-experimental study examines the efficacy of Meta-AI integrated with WhatsApp in enhancing reading comprehension. Two intact classes were randomly assigned to experimental (N=20) and control (N=20) groups. The experimental group received AI-mediated instruction via WhatsApp, while the control group followed conventional pedagogical methods. Pre-test and post-test data were collected to assess reading comprehension gains. Statistical analysis demonstrated a significant improvement in the experimental group compared to the control group, indicating that AI-enhanced social media platforms can effectively support English language learning. The findings underscore the potential of AI-driven instructional strategies in fostering reading proficiency, advocating for a paradigm shift towards technology-assisted pedagogical approaches in higher education.

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APA

Muhammad Zaman*, Ali Asghar Chandio, & Hira Noor. (2025). Evaluating the Influence of Meta-AI on Enhancing English Reading Comprehension Proficiency: An Experimental Study within a Social Media Application Framework. Social Science Review Archives, 3(1), 2223–2233. https://doi.org/10.70670/sra.v3i1.533

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