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The Future of AI in Language Education: Trends and Predictions
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Author(s): Saeed Abdullah Alzahrani (Al Baha University, Saudi Arabia)
Copyright: 2025
Pages: 24
Source title:
Bridging Global Divides for Transnational Higher Education in the AI Era
Source Author(s)/Editor(s): Fawad Naseer (Beaconhouse International College, Pakistan), Cheryl Yu (Jimmy Choo Academy, UK), Rhytheema Dulloo (Hindustan Institute of Technology and Science, India), Munshi Muhammad Abdul Kader Jilani (Bangladesh Institute of Governance and Management, University of Dhaka, Bangladesh)and Momina Shaheen (University of Roehampton, UK)
DOI: 10.4018/979-8-3693-7016-2.ch015
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Abstract
The chapter explores the transformative potential of artificial intelligence (AI) in language education, focusing on methodology and key findings. The study involved 400 participants divided into experimental and control groups, with the experimental group using AI-driven tools and the control group following traditional methods. Pre- and post-assessments measured language proficiency, and surveys captured educators' perspectives. The results reveal two key findings: AI-driven tools enhanced language proficiency by up to 45%, with the experimental group showing significant improvement compared to the control group's 13% increase. Additionally, 78% of educators believe AI will significantly impact language education, closely aligning with the hypothesized 80%. These findings highlight AI's potential for personalized, adaptive, and engaging learning experiences. Future research should focus on long-term studies to examine the sustained effects of AI-driven tools and best practices for ethical implementation, aiming to create more effective and inclusive language learning environments.
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