Enables creation, evaluation, and improvement of nodes and prerequisite links on the 1Cademy shared knowledge graph.

It also supports peer review and reputation building through proposing nodes, editing nodes, and voting on node proposals.

1Cademy Proposal System

To add a new node or to modify an existing node, a user can submit a proposal. 

University of Michigan - Ann Arbor

The shared graph contains both granular information (nodes) and relations between them (prerequisite links). The information is organized starting with general topics that break down to more detailed content. 1Cademy users propose changes to the graph to generate and improve nodes.

1Cademy Shared Knowledge Graph: A Knowledge Graph of Micro-topics and Learning Pathways (KGMLP)

A visualization of some nodes and prerequisite links between them, which is hierarchically organized and personalized for a specific 1Cademy user. The map supports four overarching learning activities: navigation, summarization, evaluation, and improvement.

1Cademy Personalized Knowledge Map View

A Proposal on 1Cademy

A node is a rectangular box that represents a granular piece of knowledge, summarized in its title and explained in its content.

Nodes are connected to other nodes. Together, they make up a hierarchical Knowledge Graph.

1Cademy Nodes

https://www.dropbox.com/s/4u9y20juageywqd/Improving%20Collaborative%20Notetaking%20Through%20Finding.pdf?dl=0

Improving Collaborative Notetaking Through Finding and Visualizing Prerequisite Knowledge Links

A Knowledge Graph of Micro-topics and Learning Pathways (KGMLP) provides a robust framework for course content development, enabling more organized, efficient, and personalized education. It not only aids instructors in creating coherent and effective course material but also enhances the learning experience by making the content more accessible and relevant to students' needs.

KGMLP Enhances the Course Content Development

In the 1Cademy shared knowledge graph, nodes are linked hierarchically based on prerequisite relations. If learning the content of Node A requires first understanding the content of Node B, then Node B is defined as a prerequisite (parent) of Node A. A node can have multiple prerequisite links and can serve as a prerequisite for multiple other nodes.

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