학술논문

Quick Review of Pedagogical Experiences Using GPT-3 in Education
Document Type
Journal Articles
Information Analyses
Author
Joel Manuel Prieto-Andreu (ORCID 0000-0002-2981-0782); Antonio Labisa-Palmeira (ORCID 0000-0001-6508-0599)
Source
Journal of Technology and Science Education. 2024 14(2):633-647.
Subject
Teaching Methods
Artificial Intelligence
Computer Software
Questioning Techniques
Databases
Research Reports
Dialogs (Language)
Educational Benefits
Barriers
Language
English
ISSN
2014-5349
2013-6374
Abstract
GPT-3 is a neuronal language model that performs tasks such as classification, question-answering and text summarization. Although chatbots like BlenderBot-3 work well in a conversational sense, and GPT-3 can assist experts in evaluating questions, they are quantifiably worse than real teachers in several pedagogical dimensions. We present the first systematic literature review that analyzes the main contributions and uses of GPT-3 in the field of education. The protocols suggested in the PRISMA 2020 statement were followed for the drafting of the review. According to the results, 34 significant productions were identified through a systematic search in ISI Web of Science, SCOPUS and Google Scholar. GPT-3 has been considered in the academic, ethical and medical fields, in humanities and in computer science, in the formulation of questions and answers, and through cooperative educational dialogs. GPT-3 has been proven to have valuable applications in education, such as the automation of routine tasks, in making quick diagnoses of the students' weaknesses and in the automatic generation of questions, but it still faces challenges and limitations that require additional investigation. We discuss the educational possibilities and the limitations to the use of GPT-3.