AI-POWERED INSTRUCTIONAL INTERVENTIONS FOR STRUGGLING READERS: EFFICACY AND BEST PRACTICES

Abstract

This paper provides a comprehensive review of AI-powered instructional interventions for struggling readers, focusing on their efficacy and best practices. Struggling readers, who face significant difficulties in acquiring and mastering reading skills, often encounter challenges that extend beyond English studies, affecting their overall academic performance. The paper explores various AI technologies, including machine learning, natural language processing and speech recognition, that offer personalized, real-time feedback and adaptive learning experiences to support struggling readers. The literature review highlights studies demonstrating the positive impact of AI-powered interventions on reading fluency, comprehension and engagement. The paper discusses the efficacy of these interventions, emphasizing the importance of strategic planning, professional development for educators, data privacy and ethical considerations. Successful implementations of AI-driven platforms in different educational contexts are presented, showcasing significant improvements in student performance and engagement. Despite the promising potential, the paper also addresses the challenges and limitations, such as equity and access, ethical concerns, pedagogical limitations, and implementation challenges. The conclusion underscores the need for ongoing research and development to maximize the benefits of AI-powered instructional interventions while addressing the associated challenges. Part of the recommendations suggested were teachers’ support in the area of training, equity and access to all students without any  bias, data privacy and ethics guidelines should be provided and many more.