Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education

Abstract—Artificial Intelligence (AI) holds transformative potential in education, enabling personalized learning, enhancing inclusivity, and encouraging creativity and curiosity. In this paper, we explore how Large Language Models (LLMs) can act as both patient tutors and collaborative partners to enhance education delivery. As tutors, LLMs personalize learning by offering stepby-step explanations and addressing individual needs, making education more inclusive for students with diverse backgrounds or abilities. As collaborators, they expand students’ horizons, supporting them in tackling complex, real-world problems and co-creating innovative projects. However, to fully realize these benefits, LLMs must be leveraged not as tools for providing direct solutions but rather to guide students in developing resolving strategies and finding learning paths together. Therefore, a strong emphasis should be placed on educating students and teachers on the successful use of LLMs to ensure their effective integration into classrooms. Through practical examples and real-world case studies, this paper illustrates how LLMs can make education more inclusive and engaging while empowering students to reach their full potential.

Introduction. Artificial Intelligence (AI) has become an integral part of people’s daily lives, influencing a massive number of life aspects, from human interaction with technology to several jobs. Today workforce is facing a new reality: while AI may not directly replace jobs, workers proficient in AI will undoubtedly replace those who are not [1]. Thus, integrating AI into education is not only an opportunity but a necessity to equip students with the skills and knowledge needed to understand an AI-driven world. In this context, the dual relationship between AI and education blows up. On one hand, education plays a pivotal role in preparing future generations for a world where AI will be omnipresent. On the other hand, AI can be a formidable tool for enhancing education, leading towards a personalized and inclusive education, as well as strengthening students’ soft skills or critical thinking and enhancing co-creativity.

Discussion / Conclusion. As we discussed in this paper, Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have the potential to revolutionize education by enabling personalization, inclusivity, and expanding students horizons. This paper has explored how LLMs, when used effectively, can transform the learning experience, allowing students to progress at their own pace, explore real-world problems, and co-create innovative solutions. By serving as both patient tutors and collaborative partners, LLMs can address diverse educational needs, from filling foundational knowledge gaps to guiding advanced or interdisciplinary projects. However, to fully realize these benefits, AI must be integrated thoughtfully into the educational process. It is essential that LLMs support students in developing resolving strategies, rather than merely providing answers. This collaborative approach encourages critical thinking, independence, and creativity, ensuring that students remain active participants in their learning journeys.