THE FUTURE OF ENGLISH SKILL ASSESSMENT: AI-BASED ADAPTIVE TESTING IN HIGHER EDUCATION

Abstract

This study aims to explore the opportunities and challenges of employing artificial intelligence (AI) in English skill assessment within higher education contexts. A comprehensive literature review and meta-analysis were conducted on existing research related to AI in assessment, computerized adaptive testing (CAT), psychometrics, learner perceptions, ethics, and educational policy. The review analyzed 30 journal articles to identify key patterns, research gaps, and future directions for AI-based English language evaluation. Findings indicate that AI holds significant potential to enhance assessment accuracy, efficiency, and learner engagement, while also raising critical issues related to fairness, transparency, ethics, and policy compliance. The study underscores the need for holistic integration of AI technologies with ethical guidelines and policy frameworks to optimize assessment practices. Recommendations are provided for researchers and practitioners to develop innovative, equitable, and effective AI-driven English skill assessment systems in higher education.