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All Journal Bulletin of Social Informatics Theory and Application
Utama , Agung Bella Putra
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Computer Science & IT Social Sciences

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Deep learning in education: a bibliometric analysis Wibawa, Aji Prasetya; Dwiyanto, Felix Andika; Utama , Agung Bella Putra
Bulletin of Social Informatics Theory and Application Vol. 6 No. 2 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i2.596

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.
Co-Authors Aji Prasetya Wibawa Dwiyanto, Felix Andika