Abstract
This study explores how artificial intelligence (AI) can be effectively integrated into English language assessment practices in the Philippines to enhance teaching and learning outcomes. It employs a critical realism approach, balancing the objective dimensions of AI-driven data with the subjective experiences of educators, students, and policymakers. The research is guided by three core questions: first, identifying current assessment practices to pinpoint areas where AI tools can offer greater efficiency and deeper learning insights; second, determining key ethical considerations such as fairness, data privacy, and responsible technology use; and third, examining stakeholder perceptions, with an emphasis on acceptance, adoption, and policy implications. A mixed-methods design, incorporating both qualitative and quantitative analyses, provides a comprehensive understanding of the practical challenges and opportunities involved. Collaborations with academic and research institutions further inform policy recommendations, ensuring alignment with local contexts and global best practices. By integrating AI responsibly, this study proposes clear guidelines for improving assessment techniques, promoting equitable student outcomes, and advancing the quality of English language education in the Philippines.
Presenters
Dan Henry GonzalesStudent, PhD English Language and Literature, Ateneo de Manila University, Philippines
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
ENGLISH LANGUAGE ASSESSMENT, PHILIPPINES, CRITICAL REALISM, ETHICS, STAKEHOLDER PERCEPTIONS
