Exploring Teachers' Perceptions of ChatGPT Through Prompt Engineering

Fuente: arXiv
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Auteur principal: Gousopoulos, Dimitrios
Format: Preprint
Publié: 2025
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author Gousopoulos, Dimitrios
author_facet Gousopoulos, Dimitrios
contents Artificial Intelligence and especially Large Language Models (LLM), such as ChatGPT has revolutionized the way educators work. The results we get from LLMs depend on how we ask them to help us. The process and the technique behind an effective input is called prompt engineering. The aim of this study is to investigate whether science educators in secondary education improve their attitude toward ChatGPT as a learning assistant after appropriate training in prompt engineering. The results of the pilot study presented in this paper show an improvement in the previously mentioned teachers perceptions.
format Preprint
id arxiv_https___arxiv_org_abs_2510_08634
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Exploring Teachers' Perceptions of ChatGPT Through Prompt Engineering
Gousopoulos, Dimitrios
Physics Education
Computers and Society
Artificial Intelligence and especially Large Language Models (LLM), such as ChatGPT has revolutionized the way educators work. The results we get from LLMs depend on how we ask them to help us. The process and the technique behind an effective input is called prompt engineering. The aim of this study is to investigate whether science educators in secondary education improve their attitude toward ChatGPT as a learning assistant after appropriate training in prompt engineering. The results of the pilot study presented in this paper show an improvement in the previously mentioned teachers perceptions.
title Exploring Teachers' Perceptions of ChatGPT Through Prompt Engineering
topic Physics Education
Computers and Society
url https://arxiv.org/abs/2510.08634