Effectiveness Meta AI in Enhancing Academic Writing Proficiency: The Case of Filipino ESL Learners

Abstract

This study explores the role of Artificial Intelligence (AI) in enhancing academic writing efficiency through a pre-test-post-test quasi-experimental research design. Using time series analysis, the investigation focuses on measuring the effectiveness of AI-powered tools in improving the writing skills of university students. This study employed a pre-test-post-test single-case study design to assess the effectiveness of AI-powered writing tools on academic writing proficiency among Filipino ESL learners. Data were collected at multiple intervals to observe changes in writing efficiency over time. The Meta AI was  integrated into the writing process to assist with grammar checks, style suggestions, and content organization. Results were analyzed to determine the impact of AI on key variables such as writing speed, coherence, and error reduction. The findings indicated a significant improvement in the writing attitude and efficiency of the experimental group, with notable gains in clarity and grammatical accuracy. Time series analysis revealed consistent progress in the writing capabilities of students using AI tools, highlighting their potential as an asset in academic contexts. The study concludes that AI-driven applications not only streamline the writing process but also provide dynamic feedback that contributes to the development of effective writing skills. Recommendations include the incorporation of Meta AI in educational curricula to enhance students’ writing proficiency and foster a more interactive learning environment. Future research should focus on the long-term impact of AI on academic writing and its implications for various educational levels.