Course Description

Title: Customizing Learning Materials with Intelligent Agents

In this course, we will learn how on-line content can be generated or quickly customized to the needs of individuals or small groups of students. We begin with a discussion of learning concepts and the use of concept dependency graphs (CDGs) to model these concepts. We then show how generative AI tools can be used to generate these concepts or review existing concepts graphs for suitability of learning objectives. We then describe the process of creating taxonomies and ontologies that can be used with CDGs. We cover topics of abstraction, clustering and graph algorithms such as graph traversal, search and dependency analysis.

Next we cover the topic of tools to visualize and navigate CDG and explore tools such as vis.js for visualizing CDGs. Finally, we show how these data structures and algorithms are used together with intelligent agents to customize complex lesson plans for students.

Prerequisites

Student should have access to the internet and be familiar with using a web browser and search engines. Students should also have access to a generative AI tool such as ChatGPT.

It is helpful, but not required, for students should have a background in data structures, teaching theory, lesson plans, curriculum development processes. Please consult our Glossary of Terms for a list of background terms and their defintions.