Bulletin of Social Informatics Theory and Application
Vol. 6 No. 2 (2022)

Deep learning in education: a bibliometric analysis

Wibawa, Aji Prasetya (Unknown)
Dwiyanto, Felix Andika (Unknown)
Utama , Agung Bella Putra (Unknown)



Article Info

Publish Date
30 Dec 2022

Abstract

This study investigates the application and development of deep learning in educational settings. Based on the statistics of scientific papers, analysis done using bibliometrics demonstrates the rise of deep learning in educational settings. Deep learning is having a transformative effect on all aspects of education and learning, as well as research. These findings could pave the way for more investigation into deep learning, particularly in education. According to the bibliometric results, the Netherlands, China, the United States of America, India, and Norway are the five countries that have contributed the most to deep learning in education. Norway came in fifth place. In addition, some of the possible directions that research could go in the future concerning deep learning in education include online, machine, blended, remote, informal, and deep reinforcement learning.

Copyrights © 2022






Journal Info

Abbrev

businta

Publisher

Subject

Computer Science & IT Social Sciences

Description

Bulletin of Social Informatics Theory and Application (ISSN 2614-0047) is an interdisciplinary scientific journal for researchers from Computer Science, Informatics, Social Sciences, and Management Sciences to share ideas and opinions, and present original research work on studying the interplay ...