This study examined the role of artificial intelligence (AI) tutors in enhancing academic performance and student engagement within higher education contexts. The research was conducted to address the growing reliance on technology-driven learning platforms and to evaluate the extent to which AI tutors supported improved outcomes compared to traditional teaching methods. The study adopted a quantitative approach, employing surveys and academic performance records from students who interacted with AI-driven tutoring systems over one academic semester. The findings revealed that students who engaged with AI tutors demonstrated significant improvements in academic achievement, particularly in subject comprehension, test performance, and problem-solving skills. Moreover, AI tutors positively influenced student engagement, as reflected in higher participation rates, greater consistency in completing assignments, and stronger motivation to learn. Results also highlighted that AI tutors offered personalized feedback and adaptive learning pathways, which contributed to improved student confidence and academic persistence. The study concluded that integrating AI tutors into academic environments provided measurable benefits to both performance and engagement. However, the results also suggested the need for careful implementation strategies to ensure ethical use, equitable access, and alignment with pedagogical goals. Recommendations emphasized training educators to effectively integrate AI tools, as well as the importance of hybrid learning models that combine human instruction with AI-driven support. Future research directions were suggested, focusing on long-term impacts of AI tutors on critical thinking, creativity, and collaborative learning.
Faridoon et al. (2025) studied this question.