The Practice and Visualization Analysis of Deep Learning in Education and Teaching

Abstract

To gain a comprehensive understanding of the current research status of deep learning in educational and teaching scenarios, this study utilized the CiteSpace visual bibliometric tool to conduct a quantitative analysis of 1,018 documents related to the application of deep learning in education and teaching. The research results show that the study of deep learning in education and teaching mainly focuses on three aspects: the advantages and performance of deep learning in education and teaching, the educational threats brought by deep learning, and the application scenarios of deep learning in education and teaching. Educational researchers need to face up to the possible crises brought by deep learning and actively explore strategies and models based on the functional features of deep learning that are applicable to various educational and teaching scenarios.