Educational Roles and Scenarios for Large Language Models: An Ethnographic Research Study of Artificial Intelligence
Educational Roles and Scenarios for Large Language Models: An Ethnographic Research Study of Artificial Intelligence
N. Alfirević,Darko Rendulić,Maja Fošner,A. Fošner
TLDR
The theoretical background and potential applications of Large Language Models (LLMs) in educational processes and academic research are reviewed and the AI challenges are discussed, which included potential biases in decision-making and AI as a potential source of discrimination and conflict of interest.
Abstract
This paper reviews the theoretical background and potential applications of Large Language Models (LLMs) in educational processes and academic research. Utilizing a novel digital ethnographic approach, we engaged in iterative research with OpenAI’s ChatGPT-4 and Google’s Gemini Ultra—two advanced commercial LLMs. The methodology treated LLMs as research participants, emphasizing the AI-guided perspectives and their envisioned roles in educational settings. Our findings identified the potential LLM roles in educational and research processes and we discussed the AI challenges, which included potential biases in decision-making and AI as a potential source of discrimination and conflict of interest. In addition to practical implications, we used the qualitative research results to advise on the relevant topics for future research.