Artificial Intelligence Revolution for Enhancing Modern Education Using Zone of Proximal Development Approach

Abstract

Artificial Intelligence has the potential to revolutionize modern education by providing personalized learning experiences, automating administrative tasks, facilitating communication between educators and students, and enabling new forms of assessment. This paper illustrates the integration of Vygotsky's Zone of Proximal Development (ZPD) with modern education methods, integrating human instruction and artificial intelligence (AI). The ZPD model describes the terrain between what a learner can accomplish independently and what they can be taught with the assistance of an instructor. The learner is at the center of this model, whose learning trajectory is directed by the instructor and modern AI tools. The convergence of these forces within the ZPD creates a highly efficient learning process where support is adaptive and tailored to the individual. Scaffolding, the key construct in ZPD, is provided via expert instructor instruction and AI-generated personal feedback. While the instructor provides pedagogical expertise and emotional support, AI platforms provide data-informed, real-time feedback tailored to personal learning needs. This hybrid support structure facilitates incremental skill acquisition and confidence build-up, resulting in measurable progress in learning. The outcome is a transition toward self-directed learning, which is a key proof of education advancement and mental development. By incorporating the technologies into the traditional teacher-student model, the suggested model identifies the future of learner-centered instruction. It aligns teaching approaches with individualized, technology-driven learning to enable sustainable academic achievement. The model also reaffirms the role of teachers as learning facilitators, leveraging AI to optimize learning paths.