This online, asynchronous module is designed to help advanced undergraduate and graduate students adapt their research papers to digestible and engaging verbal presentations. These presentations are designed to be presented at academic conferences and symposia, giving students the tools to present their work to new audiences.
As part of its program, this module incorporates the option to use Generative AI into various sections to provide real-time suggestions to users. While the engineered prompts provided in the module stress the use of only the text included in the user's original paper, students should be wary of artifically-generated text, especially if they choose to alter the prompts beyond the provided suggestions. Users should heed all university mandates and rules regarding the use of artificial intelligence in their work. Should students wish to not use Generative AI in this module, they are free to skip the AI-sections--all of which are located at the bottom of each individual page.
While this online module is designed to be experimental, it is worth noting the potential problems that may befall it and went into its creation. I hope that this module can be useful for students across academic disciplines, but it was designed with humanities students in mind since that is my own experience with converting academic papers into conference presentations. I hope that non-humanities students will still find this useful and be able to adapt it for their own use. In the future maybe I will work together with students or subject librarians in the sciences to create an alternative version for those disciplines.
This module includes the opportunity for students to experiment with Generative AI to aide them in adapting research papers into presentations through a series of prompts. These sections are by no means required, moreso they are designed to encourage users to compare and contrast between their own work and that of Generative AI. Artificial Intelligence is still experimental, so there may be some hiccups in the prompts and the generated material.
No portion of this module was created using Generative AI.
This module was designed by Kathryn Spears and published online in May 2026. She is a graduate student at UNC Chapel Hill pursuing masters degrees in art history and library science. She is broadly interested in digital collections, academic libraries, and database management. Outside of the classroom, she has held positions at the North Carolina Museum of Art Reference Library, the Frick Art Research Library, and in Data Research Services at Davis Library.
If you have any questions, please reach out to me at knspears@ad.unc.edu.