Bridging Learning Gaps: The Role of AI-Powered Technologies in Enhancing Quality Education

Ensuring quality education in the digital era remains a challenge due to disparities in access, engagement, and adaptability to diverse learning needs. The rise of Artificial Intelligence (AI)-powered technologies offers promising solutions by transforming educational systems through data-driven personalization, adaptive learning platforms, intelligent tutoring systems, and automated assessments. However, concerns remain about the effectiveness and equity of these tools. This study employs a systematic review of empirical research and case studies to evaluate AI-driven tools’ impact on student engagement, learning outcomes, and inclusivity. Studies were selected based on rigorous inclusion criteria from major academic databases, including Scopus, Web of Science, and Google Scholar, covering the last decade. The methodology explicitly outlines the selection criteria, databases searched, and inclusion/exclusion parameters to ensure transparency and reproducibility. Findings indicate that AI significantly enhances learning outcomes but also highlights ethical concerns, digital inequalities, and teacher preparedness as critical barriers. Successful AI adoption requires investments in infrastructure, ethical guidelines, and teacher training. This paper informs policymakers, educators, and technology developers about best practices for AI integration in education.