AI Demonstrations
To understand the implications of generative AI affects education, it can help to see practical examples in action. Below are several ways AI can aid in the learning experience. Think about how you could modify or build upon these examples for your own instruction.
AI as a Thought Partner
In this demonstration, I showcase the potential of AI functioning as a virtual thought partner. This concept has the potential to alter the way in which we engage in learning to deepen understanding. The implications for this kind of technology also bring an imperative to understand how AI models like Pi function, in order to ensure they are used responsibly and ethically. By mindfully integrating AI thought partners into the learning experience, we open up the possibilities for new methods of personalized and engaging learning that weren't previously possible.
Note: In this demonstration a human with profile icon on left speaks to Pi an AI chatbot with profile icon on right.
Tool used in this demonstration: Pi
AI in Virtual Case Studies
This demonstration inside H5P exemplifies how human expertise, blended with generative AI tools, can create groundbreaking learning experiences. Through the combination of generative AI text, voices, images, and video, the system breathes life into virtual simulations, empowering learners to interact with the content in authentic and exciting new ways.
The simulation in this demonstration was developed as part of the OpenRN project - funded by a grant from the U.S. Department of Education to create OER Nursing Resources.
Tools used in this demonstration: H5P, ChatGPT, Midjourney, Play.ht, Microsoft Azure Speech Studio, D-ID
AI in the Role of the Learner
This roleplay prompt places the AI in the shoes of an undergraduate student, and the user as an instructor, guiding the AI through a specified topic. By encouraging the AI to pose questions in the manner of a novice learner, it offers the user an opportunity to articulate and explain concepts, reinforcing their own understanding in the process. This technique leverages the pedagogical principle that teaching is one of the most effective ways to learn. Meanwhile, by having the AI critique the user's explanations, it provides valuable feedback on the clarity and depth of the instruction, creating a dynamic and iterative learning experience for the user.