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Use of AI in Improving Writing Skills of Students in IELTS Preparatory Classes

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With the introduction of Artificial Intelligence (AI) in education, traditional teaching techniques have received new ideas to improve learning. This research discusses how AI can be applied to enhance the IELTS writing performance of students in preparatory classes. Using artificial intelligence feedback tools, grammar checking tools, and learning tools for the learners, the study found out how the challenges of coherence, grammar, lexical resource, and task achievement in the IELTS test can be addressed or solved. The research is quantitative with writing assessments as instruments and qualitative data from interviews with students and teachers. Studies conclude that utilization of AI tools improves student performance through; real-time feedback, individual follow up, increasing student’s responsibilities and decreasing their reliance on tutors. However, the study also reveals limitation which may include; AI writing systems are unable to capture certain elements such as creativity and cultural background of any writing. This is equally so because the research identifies how AI can be an effective supplementary technique in the coverage of IELTS in a way that should not replace conventional techniques of teaching. This work adds to existing knowledge in the domain of AI use in learning, providing meaningful recommendations for educators and policymakers who strive to enhance English learning outcomes on high-stakes assessments.
Title: Use of AI in Improving Writing Skills of Students in IELTS Preparatory Classes
Description:
With the introduction of Artificial Intelligence (AI) in education, traditional teaching techniques have received new ideas to improve learning.
This research discusses how AI can be applied to enhance the IELTS writing performance of students in preparatory classes.
Using artificial intelligence feedback tools, grammar checking tools, and learning tools for the learners, the study found out how the challenges of coherence, grammar, lexical resource, and task achievement in the IELTS test can be addressed or solved.
The research is quantitative with writing assessments as instruments and qualitative data from interviews with students and teachers.
Studies conclude that utilization of AI tools improves student performance through; real-time feedback, individual follow up, increasing student’s responsibilities and decreasing their reliance on tutors.
However, the study also reveals limitation which may include; AI writing systems are unable to capture certain elements such as creativity and cultural background of any writing.
This is equally so because the research identifies how AI can be an effective supplementary technique in the coverage of IELTS in a way that should not replace conventional techniques of teaching.
This work adds to existing knowledge in the domain of AI use in learning, providing meaningful recommendations for educators and policymakers who strive to enhance English learning outcomes on high-stakes assessments.

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