Vol. 18 / 2023 – International Conference on Virtual Learning
Agent-oriented tutoring systems an alternative for education
Manuel SOTO RAMOS, Emil ALEXANDRU CANCIU, Dorin-Mircea POPOVICI
Agent-oriented tutoring systems have gained significant attention in the field of education due to their potential to enhance personalized learning experiences. This paper explores the concept of agent-oriented tutoring systems in the context of education. A proposed methodology for creating an agent-oriented tutoring system is presented, outlining the essential steps involved in the development process. Additionally, various methods for designing and implementing agent-oriented tutoring systems are explored, highlighting the use of AI, machine learning, and natural language processing techniques. This paper provides an overview of agent-oriented tutoring systems in education, offering insights into their development, benefits, and considerations. What do we already have? What do we have and do not use? What are the benefits and challenges of implementing an agent? Those are questions we are answering in this paper.
Keywords:
education,
Machine learning,
Artificial Intelligence,
programming language,
frameworks,
Tutoring systems
CITE THIS PAPER AS:
Manuel SOTO RAMOS,
Emil ALEXANDRU CANCIU,
Dorin-Mircea POPOVICI,
"Agent-oriented tutoring systems an alternative for education",
International Conference on Virtual Learning,
ISSN 2971-9291, ISSN-L 1844-8933,
vol. 18,
pp. 159-168,
2023.
https://doi.org/10.58503/icvl-v18y202313