14 Trainings and Resources from Reed Hepler (CSI)
Reed Hepler, Digital Initiatives Librarian and Archivist at the College of Southern Idaho, is a leader in Idaho’s open education and AI movements. Reed has developed several trainings that may be useful. They are listed below.
Opening Keynote Panel with Reed Hepler, David Wiley, and Laura Dumin
This video is the opening Keynote of the 2024 Teaching and Learning with AI Summit by Learning Revolution. Its speakers discuss the important and often-overlooked aspects of generative AI tools and education.
CC BY-NC: attribution required, not for commercial use
Deliberately Safeguarding Privacy and Confidentiality in the Era of Generative AI
This video is part of Library 2.0’s AI and Libraries Mini-Conference. It discusses necessary steps and guidance when incorporating AI into libraries AND educational contexts.
Creating and Using Custom AI Models
Reed discusses creating and using custom models for educational purposes, as a teacher and a student.
The Three Cs of AI-Generated Content: Copyright, Citation, and Circumspection
Reed discusses the three most important factors we must consider when interacting with AI tools and AI-generated content.
Effectively Using ChatGPT in Education in Accordance with the TCoP Model
This is a conference session from 2023 AECT. Reed discusses implementing AI tools, specifically ChatGPT, according to Curry et al.,’s TCoP Model of Technology Integration.
Navigating Benefits and Concerns When Discussing GenAI Tools with Faculty and Staff
This chapter in “Teaching and Generative AI” examines the importance of acknowledging and working through educators’ concerns when working with AI tools.
Prompt Engineering and AI Tools
These resources are shared to help students navigate prompt engineering and AI tools in a responsible, ethical manner.
https://oercommons.org/courseware/lesson/107793
Introduction to AI Course (Canvas LMS)
This resource was adapted from the original resource created by Rush University. It is licensed under a CC BY NC SA license. It is not an exhaustive course, but covers the basics of four broad categories of AI Literacy: Awareness of AI, AI Capabilities, Knowledge of AI Models, and Critical Thinking. It is an excellent starter course for students in secondary and higher education institution.
https://lor.instructure.com/resources/fa612cbf164e42e5bc7728dc53772a40
Human-Machine Interactions (Podcast)
In this episode of the Knowledge Nest, Reed compares the working of instruments like a piano to the machine workings of AI tools. Similar principles for working with both types of machines are discussed.
