Complexities of Using Large Language Model Generative AI in Health Education and Robots

We describe the early stages of Artificial Intelligence (AI) research and future robotic development projects to study how and why to integrate Large Language Model (LLM) Generative AI (LLM-GAI) into educational software systems we have built during the past decade. Our current focus has been to study what we do not know about a variety of Natural Language Processing (NLP) tasks across a range of educational settings within the United States. As a prelude to large-scale research and writing grant proposals, we conducted thought experiments (often known as Gedanken experiments) to identify factors shaping the effective usage of LLM-GAI within inclusive-adaptive teaching-learning environments. While qualitative and non-experimental, we wanted to delineate the scope of problem areas to refine a model of an inclusive-adaptive-learning environment we have been developing during the past three years.