AI-enhanced tutoring systems provide a transformative approach that could completely change how we learn and develop skills. These systems combine advanced algorithms and statistics with personalized and timely feedback to adapt to individual learning needs in real time (D’Mello & Graesser, 2023).

Now, imagine a scenario where a high school student struggles with advanced calculus. In this scenario, a human tutor and an AI-enhanced tutoring system collaborate to support the student’s learning experience. The AI system analyzes the student’s interactions with the material, examines the student’s emotions, evaluates challenging areas, and develops a personalized learning plan. As the student progresses, the AI provides real-time feedback, adapts dynamically, and uses diverse teaching methods to align with the student’s unique learning style.

In the meantime, the human tutor receives all these insights from the AI and strategically provides extra guidance, encouragement, and a personal touch to enhance the learning process. This collaborative effort ensures that the student receives a personalized, adaptive, and comprehensive learning experience while allowing the human tutor to serve a higher caseload of students. Together, they create a powerful, personalized, and time-efficient learning experience for students.

The intelligent tutoring systems field is expanding, and many new systems are starting to integrate different AI functionalities, such as real-time feedback loops and gamification elements, into educational systems. For example, Carnegie Learning recently announced LiveHint AI, a math tutor built on a large language model to help middle and high school students. This intelligent tutoring system is based on data collected from 5.5 million students working on over 1.2 billion math problems in the last 25 years. Similarly, Khan Academy has developed an AI-powered tutoring system called Khanmigo that provides personalized feedback and support to students as they work through Khan Academy’s exercises. DreamBox, EduBot, Cognii, and many other intelligent educational systems use advanced algorithms that adjust content based on students’ progress and comprehension to support their math and reading skills.

These innovative platforms are already transforming the learning experiences for millions of students, and this is just the tip of the iceberg. We are in the era of intelligent educational systems, and the ongoing trend suggests that the popularity of AI-enhanced tutoring is expected to evolve further.

AI systems can handle many students simultaneously and overcome the limitations of traditional human-intensive tutoring models. Integrating AI into high-dose tutoring can help ensure that personalization reaches every student, and educators can efficiently tailor educational experiences to the diverse needs of a large student body. With an AI-enhanced high-dose tutoring model, every student can access their own virtual tutor that adapts to their pace, understands their strengths and weaknesses, and provides targeted support. This allows personalized learning to be more accessible to a broad demographic, helping to mitigate educational disparities on a national level.

This AI-enhanced model moves us from the traditional “one-size-fits-all” instruction to a new “one-size-fits-one” approach that can be broadly implemented. Another major benefit of infusing AI into high-dose tutoring is its power to break down geographical and economic barriers. Students from all corners of the globe can access high-quality education, leveling the playing field and democratizing learning opportunities. This is a game-changer, especially for underprivileged students who may not have had access to these resources before.

Contrary to concerns that AI might replace teachers, integrating AI in education is designed to enhance, not replace, human interaction. Teachers leverage AI-derived insights to adjust their instructional methodologies, fostering a more effective and adaptive pedagogical approach. In this innovative approach, AI serves as a tool for educators, providing personalized insights and adapting teaching strategies in real time. This dynamic interaction streamlines the teaching process and fosters a more engaging learning environment (Chine et al., 2022).

Integration of AI into education is no longer a matter of “if” but “how.” Many challenges, including ethical considerations, still need attention. However, the potential benefits far outweigh the challenges, and the road ahead demands collaboration among educators, policymakers, and technologists to create a harmonious integration of AI into the classroom. Together, we must work towards a future where scalable, intelligent tutoring systems elevate the learning experience for students and empower educators with the tools they need to foster a dynamic and inclusive educational environment in our public schools. The journey may be challenging, but with a collaborative and thoughtful approach, scalable AI-enhanced high-dose tutoring systems hold the key to addressing the gaps in traditional education models, ensuring that every student receives tailored support, irrespective of their learning pace and style.