The Use of Artificial Intelligence Agents in Education

Abstract

Technological advancements are transforming education systems, adding new dimensions to learning processes. Artificial intelligence (AI) agents have significant potential to provide personalized learning experiences, support teachers, and enhance educational efficiency. This article explores the theoretical framework of AI in education, discussing concepts such as Vygotsky’s Sociocultural Theory, Piaget’s Cognitive Development Theory, and the Dual Process Theory. AI-powered adaptive learning systems, Natural Language Processing (NLP)-based chatbots, and automated assessment mechanisms offer personalized learning paths for students, enhancing the learning experience. However, the implementation of AI in education also raises ethical concerns and pedagogical challenges. Issues such as student data privacy, algorithmic bias, and teachers' adoption of AI tools are critical factors determining the effectiveness of these technologies. The paper provides a comprehensive discussion on the advantages, challenges, and future perspectives of AI-assisted education systems. In conclusion, to ensure the effective and ethical integration of AI in education, investments should be made in teacher training, data security policies must be strengthened, and student-centered AI systems should be continuously developed.