Prospective applications of artificial intelligence (AI) to enhance consistent attention in first-year undergraduate students in the education sector

Attention is a critical factor in effective learning, particularly for first-year undergraduate students adapting to the demands of higher education. However, maintaining consistent focus poses a challenge, often exacerbated by increased digital distractions and cognitive overload. Education could be revolutionized by artificial intelligence (AI) by becoming more individualized, effective, and accessible. AI has the potential to significantly enhance teaching and learning in the educational system through a variety of tools and applications, such as Intelligent Tutoring Systems (ITS), Chatbots, Virtual Assistants, Augmented Reality (AR), Virtual Reality (VR), and Personalized Learning Platforms. This study explores the prospective applications of artificial intelligence (AI) to enhance and sustain attention among first-year undergraduates in the educational sector. The study aims to identify specific AI solutions that monitor engagement, provide real-time feedback, and adapt content based on individual attention needs, ultimately improving students' academic performance and overall learning experience. Through a quantitative methods approach involving surveys, user testing, and data analysis, this research seeks to provide insights into the effectiveness of AI tools in fostering student focus. Findings from this study will contribute to the growing body of knowledge on AI's role in education, offering practical recommendations for institutions looking to integrate AI-based solutions to enhance student engagement and learning outcomes, particularly at the critical first-year level.