Learning Graph for Ole Cup Entrepreneurship¶

Open Learning Graph Viewer Fullscreen

This section contains the learning graph for Ole Cup Entrepreneurship: A Liberal Arts Guide to the St. Olaf Pitch Competition.

A learning graph is a graph of concepts used in this textbook. Each concept is represented by a node in a network graph. Concepts are connected by directed edges that indicate what concepts each node depends on before that concept can be understood by the student.

A learning graph is the foundational data structure for intelligent textbooks that can recommend learning paths. It is like a roadmap of concepts to help students arrive at their learning goals.

At the left of the learning graph are prerequisite or foundational concepts (no outbound edges). At the far right are the most advanced concepts. To master these concepts you must understand all the concepts that they point to.

This graph contains 200 concepts, 322 edges, and 12 taxonomy categories — from foundational mindsets like Creativity and Growth Mindset all the way to Live Pitch and Post-Competition Launch.

Course Description¶

We use the Course Description as the source document for the concepts included in this course. The course description uses the 2001 Bloom Taxonomy to order learning objectives.

List of Concepts¶

Generative AI converted the course description into a Concept List. Each concept is in Title Case with labels under 32 characters.

Concept Dependency List¶

The dependency graph is provided as a CSV file and a JSON file in vis-network JavaScript library format. The JSON format uses nodes, edges, and metadata elements with edges containing from and to properties.