Deep Learning in the Formation of Students' Nationalist Attitudes: A Bibliometric Analysis Study

Muhammad Rijal Fadli; Bahtiar Afwan; Alfian; Imam Santosa

doi:10.56741/IISTR.jpes.001556

Authors

Muhammad Rijal Fadli
rijal.fadli@esaunggul.ac.id
Universitas Esa Unggul https://orcid.org/0000-0003-1370-2653
Bahtiar Afwan Universitas Lampung https://orcid.org/0000-0002-1830-3603
Alfian Universitas Esa Unggul https://orcid.org/0000-0002-2954-8681
Imam Santosa Universitas Esa Unggul https://orcid.org/0000-0001-5017-3944

Keywords:

Character Building, Deep Learning, Higher Education, Nationalism

Abstract

This study addresses the limited role of deep learning in fostering students’ national pride, as existing research largely emphasizes technical aspects of artificial intelligence rather than value-based education. This gap highlights the need for integrating national values and character development into deep learning research. The study aims to examine publication trends, research directions, and patterns of scientific collaboration related to deep learning and student nationalism in the digital era. A bibliometric approach was employed to analyze scholarly publications indexed in Google Scholar, Scopus, and Web of Science (WoS) from 2019 to 2025. The analysis focused on research growth, thematic connections, author productivity, and keyword co-occurrence to map the development of the field. The findings indicate a significant increase in publications during the early period, followed by a decline in recent years, suggesting a possible shift or saturation in research focus. The most frequent keywords identified were attitudes (228), teacher (120), and deep learning (96), alongside related terms such as value, artificial intelligence, critical thinking, university, and student learning. These results reveal that deep learning research remains predominantly oriented toward general technological and pedagogical applications, with limited emphasis on cultivating national values and pride. This study underscores the need for future research that integrates deep learning with value-based education to strengthen students’ national awareness and character development in higher education contexts.

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Author Biographies

Muhammad Rijal Fadli, Universitas Esa Unggul

is a lecturer at Universitas Esa Unggul, a private Indonesian university. He has extensive research experience, both nationally and internationally, focusing on social studies, history, character education, Islamic studies, and educational science. (email: rijal.fadli@esaunggul.ac.id).

Bahtiar Afwan, Universitas Lampung

is a lecturer in history education at the Faculty of Teacher Training and Education, University of Lampung, Indonesia. He excels in his areas of expertise: history and technology education, with research experience in history, local wisdom, educational technology, and social and cultural studies. (email: bahtiarafwan@gmail.com).

Alfian, Universitas Esa Unggul

is a lecturer in the English language education study program at the Faculty of Teacher Training and Education, Universitas Esa Unggul, Indonesia. He is highly visionary and a scholar, focusing his expertise on language education, with research experience in English language, education, literature, and culture. (email: alfian@esaunggul.ac.id).

Imam Santosa, Universitas Esa Unggul

is a lecturer in the English Education study program at the Faculty of Teacher Training and Education, Esa Unggul University, Indonesia, and also serves as the program head. He excels in the field of English language and education, with his research focusing on curriculum, technology education, and literature. (email: imam.santosa@esaunggul.ac.id).

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