  With growing capabilities of large language models (LLMs) comes growing
affordances for human-like and context-aware conversational partners. On from
this, some recent work has investigated the use of LLMs to simulate multiple
conversational partners, such as to assist users with problem solving or to
simulate an environment populated entirely with LLMs. Beyond this, we are
interested in discussing and exploring the use of LLMs to simulate multiple
personas to assist and augment users in educational settings that could benefit
from multiple interlocutors. We discuss prior work that uses LLMs to simulate
multiple personas sharing the same environment, and discuss example scenarios
where multiple conversational agent partners could be used in education.
