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Goal Net and Multi-Agent Development Environment (MADE)

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Description

A visual AI knowledge-representation and agent-development environment developed by Yu et al. for modelling goal-and-activity networks and constructing trackable learning paths.

Components

  • Goal Net methodology and MADE: AI knowledge representation tool for modelling learning paths: Goal Net, with its associated Multi-Agent Development Environment (MADE), is an AI knowledge representation tool designed to model logic flows guiding software agents visually without lengthy code. Based on goal setting theory, it "allows users to express a complex process (e.g. organizing a set of learning tasks) as a network of goals and activities", tracking transitions and goal achievement. The authors illustrate it with a learning path for an HCI course built from micro-MOOCs, quizzes and forum discussions. (Yu et al. (2017))

Claims

Key Sources

  • Yu, H., Miao, C., Leung, C. and White, T. J. (2017). Towards AI-powered personalization in MOOC learning. npj Science of Learning. https://doi.org/10.1038/s41539-017-0016-3
Page metadata
Field Value
type product
id goal-net-and-multi-agent-development-environment-made
title Goal Net and Multi-Agent Development Environment (MADE)
description A visual AI knowledge-representation and agent-development environment developed by Yu et al.
status review
product_kind software
generated by process:settle-candidates on 2026-10-27
trust unverified — no one has confirmed this page's content

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