TEACHING METHODOLOGY OF MULTI-AGENT SYSTEMS USING NETLOGO IN COMPUTER ENGINEERING EDUCATION
Abstract
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.
Keywords
Multi-agent systems, NetLogo, agent-based modeling, computer engineering education, simulation, active learning, computational thinking, visualization
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