Agent-Based Artificial Intelligence in Education

The book focuses on agent-based artificial intelligence applied to education. It presents a bibliometric systematic review, formatted according to APA 7, aimed at analyzing trends between 2020 and 2026 regarding intelligent agents, multi-agent systems, large language models, and educational technologies. It explains key concepts, distinguishes between traditional AI and agent-based AI, and proposes a methodology based on PRISMA 2020 for searching, filtering, and analyzing studies in databases such as Scopus, Web of Science, and ScienceDirect. It also addresses educational opportunities such as adaptive tutoring, personalized learning, and teaching support, along with ethical risks: privacy, bias, transparency, and human oversight. It is important to note that the document serves as a verifiable protocol, not as a final empirical review, because much of the data is illustrative and must be validated through academic research.

Pages: 52, Paperback, Our Knowledge Publishing