A Large Language Model Approach to Educational Survey Feedback Analysis

arXiv:2309.17447v2 Announce Type: replace
Abstract: This paper assesses the potential for the large language models (LLMs) GPT-4 and GPT-3.5 to aid in deriving insight from education feedback surveys. Exploration of LLM use cases in education has focused on teaching and learning, with less exploration of capabilities in education feedback analysis. Survey analysis in education involves goals such as finding gaps in curricula or evaluating teachers, often requiring time-consuming manual processing of textual responses. LLMs have the potential to provide a …

abstract analysis arxiv capabilities cases cs.cl education educational exploration feedback gpt gpt-3 gpt-3.5 gpt-4 insight language language model language models large language large language model large language models llm llms paper potential replace survey surveys teaching type use cases