Saved in:
Bibliographic Details
Main Authors: de Buenaga, Manuel, Bueno, Francisco Javier
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2403.14694
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866929285167579136
author de Buenaga, Manuel
Bueno, Francisco Javier
author_facet de Buenaga, Manuel
Bueno, Francisco Javier
contents The GPT (Generative Pre-trained Transformer) language models are an artificial intelligence and natural language processing technology that enables automatic text generation. There is a growing interest in applying GPT language models to university teaching in various dimensions. From the perspective of innovation in student and teacher activities, they can provide support in understanding and generating content, problem-solving, as well as personalization and test correction, among others. From the dimension of internationalization, the misuse of these models represents a global problem that requires taking a series of common measures in universities from different geographical areas. In several countries, there has been a review of assessment tools to ensure that work is done by students and not by AI. To this end, we have conducted a detailed experiment in a representative subject of Computer Science such as Software Engineering, which has focused on evaluating the use of ChatGPT as an assistant in theory activities, exercises, and laboratory practices, assessing its potential use as a support tool for both students and teachers.
format Preprint
id arxiv_https___arxiv_org_abs_2403_14694
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Application of GPT Language Models for Innovation in Activities in University Teaching
de Buenaga, Manuel
Bueno, Francisco Javier
Computers and Society
Artificial Intelligence
Computation and Language
The GPT (Generative Pre-trained Transformer) language models are an artificial intelligence and natural language processing technology that enables automatic text generation. There is a growing interest in applying GPT language models to university teaching in various dimensions. From the perspective of innovation in student and teacher activities, they can provide support in understanding and generating content, problem-solving, as well as personalization and test correction, among others. From the dimension of internationalization, the misuse of these models represents a global problem that requires taking a series of common measures in universities from different geographical areas. In several countries, there has been a review of assessment tools to ensure that work is done by students and not by AI. To this end, we have conducted a detailed experiment in a representative subject of Computer Science such as Software Engineering, which has focused on evaluating the use of ChatGPT as an assistant in theory activities, exercises, and laboratory practices, assessing its potential use as a support tool for both students and teachers.
title Application of GPT Language Models for Innovation in Activities in University Teaching
topic Computers and Society
Artificial Intelligence
Computation and Language
url https://arxiv.org/abs/2403.14694