Using AI to Author Courses

Audience Level: 
All
Session Time Slot(s): 
Institutional Level: 
Higher Ed
Streamed: 
Onsite
Abstract: 

Gain an understanding of what Artificial Intelligence (AI) is (and isn't) and how it can save you time.

Learn how to use AI in this session to develop the content of a course in it's entirety from determining modules and a timeline, to developing unique, aligned assessments and engaging activities!

 

 

Extended Abstract: 

The current model of development for courses and learning materials is a time-consuming and labor-intensive process that requires a team of instructional designers, subject matter experts, and other specialists working together. Scheduling, revisions, technology hurdles and relationships are all needed for a well-developed course, but each come with their own problems and can hinder development at any stage in the process.

Using AI-powered course authoring tools can address these challenges by automating many of the tasks involved in course development, such as content creation, assessment design, and feedback generation. These tools can use machine learning algorithms to analyze existing course materials and generate new content based on specific learning objectives and student needs. Additionally, AI-powered course authoring tools can provide detailed feedback and guidance to learners through question feedback and other engagement methods. Using best practices for an engaging student experience, employ AI to do the heavy lifting inf the brainstorming process and start from a place where you need only edit with your expertise.

This presentation is a journey where we show you how AI can help make your life easier in course authoring, from outline development, to modules adhering to a schedule. Build an entire course with only your feedback and copy editing needed on the content; all assessments, activities, discussions, case studies, and simulations!
 

Benefits of AI in course authoring (and beyond):

  • Improved efficiency and cost-effectiveness: AI-powered course authoring can speed up the development process and reduce the need for specialized personnel, leading to significant cost savings. Efficiently create expert content on your own schedule, getting the basics of needed knowledge quickly, and allowing time for feedback later.

  • Enhanced flexibility and adaptability: AI-powered course authoring can generate a wide range of content and assessments, allowing courses to be customized and tailored to different learner needs and preferences. Using specialized words and refining a search can lead to very specific results that can be unique to your brand of instruction and design.

  • Improved learning outcomes: AI-powered course authoring can provide detailed feedback and support to learners, helping them to improve their skills and knowledge more effectively. Build AI into courses as part of the project! Students that are instructed and expected to use AI for assignments are being setup for success and embracing the future of education.

Level of Participation:

This session is structured as mostly an education session, with some focus on audience interaction in the form of polling. Members of the audience will be encouraged to participate in a demonstration of some of the AI technology, using a GPT-4 program to take audience suggestions and see what they get for their own curiosities. In person artifacts will be placed in person on participant tables that relate to the presentation and were generated by AI, to show some of the capabilities. A Q & A is prepared for the end of sessions with additional AI tools ready for demonstration as needed.
 

Session Goals and Takeaways:

  • A guide for developing the entirety of a courses content using AI

  • Strategies for leveraging AI in online course design and development

  • Identifying the pros and cons of AI for content generation and in higher education, as well as why AI won't be replacing you any time soon

  • A more thorough understand of the capabilities of AI in its current state in Higher Ed

 

Conference Session: 
Concurrent Session 5
Conference Track: 
Instructional Design
Session Type: 
Education Session
Intended Audience: 
Design Thinkers
Faculty
Instructional Support
Training Professionals
Technologists
All Attendees