OUTLINE of the Presentation on

Peeragogy and Heutagogical Framework for Teaching AI Ethics

Harun Rashid, Ph.D.

Adjunct Professor, Wayne State University

IEOM World Conference on October 14-16, 2025

Windsor, ON, Canada

During the world-wide pandemic starting in 2019 a wide range of many creative online and remote teaching and learning concepts emerged. In all schools and colleges teaching and learning, in pre-service and in-service professional development training for the faculty and staff, in professional workshops, and in conferences we see a massive e-migration to the virtual world. With that increasing virtualization initiative, we see the increasing utility and effectiveness of many creative learning and teaching concepts that occur in the United States and many other countries in the world. Among them some of the significant teaching and learning concepts are andragogy, cybergogy, Heutagogy, and peeragogy. All these teaching and learning concepts have one significant element in common, and that is, that they all have become increasingly relevant in today’s digitally focused pedagogies and they all work wonder in terms of effectiveness. Out of many such creative teaching and learning concepts our focus will be on two of these strategies: Peeragogy and Heutagogy. We will concentrate on the framework for teaching and learning AI ethics by using these two highly effective strategies.

In this discussion our focus will be on a synthesis between Heutagogy and Peeragogy, and the application of the synthetic framework of Heutagogy and peeragogy toward effective and meaningful teaching of AI Ethics. Thus, this discussion will include a brief description of Heutagogy, a brief description of Peeragogy, and a brief description of AI ethics. Teaching AI ethics faces several challenges, and this discussion will include those challenges turned into opportunities for growth for learners using the framework for teaching AI ethics using Peeragogical and Heutagogical strategies. This discussion will also include a rational justification for the success of this synthetic framework of Peeragogy and Heutagogy in teaching AI ethics.