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Quick Review of Pedagogical Experiences Using GPT-3 in Education

Authors :
Joel Manuel Prieto-Andreu
Antonio Labisa-Palmeira
Source :
Journal of Technology and Science Education. 2024 14(2):633-647.
Publication Year :
2024

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.

Details

Language :
English
ISSN :
2014-5349 and 2013-6374
Volume :
14
Issue :
2
Database :
ERIC
Journal :
Journal of Technology and Science Education
Publication Type :
Academic Journal
Accession number :
EJ1418674
Document Type :
Journal Articles<br />Information Analyses