Assisting Learning and Instruction on the Example of MASACAD: A Multi-Agent System that Learns to Advise Students

M.S. Hamdi (UAE)

Keywords

Support of learning and instruction, academic advising of students, AI, multi-agents, neural networks.

Abstract

Adding interactivity and intelligence to Web educational applications is considered to be an important direction of research. There are quite a few number of interesting developments and tools that are being developed in this field. This paper presents a student advising system that learns course recommendations for students based on a neural network learning approach. The system is implemented on a multi-agent architecture.

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