TEACHING METHODOLOGY OF MULTI-AGENT SYSTEMS USING NETLOGO IN COMPUTER ENGINEERING EDUCATION

The integration of multi-agent systems (MAS) into computer engineering education has become increasingly important due to their applications in artificial intelligence, distributed systems, and real-world simulations. However, students often face difficulties in understanding the dynamic and emergent nature of such systems through traditional teaching methods. This paper proposes a structured methodology for teaching multi-agent systems using the NetLogo modeling environment. The study highlights pedagogical strategies such as active learning, visualization, and problem-based instruction. It also provides practical classroom applications and discusses the benefits and challenges of implementation. The findings suggest that NetLogo enhances students’ conceptual understanding, engagement, and computational thinking skills.