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TEACHER PROFESSIONALISM AND COMPETENCE IN THE PERSPECTIVE OF CONTEMPORARY ISLAMIC EDUCATION Anisaturrizqi, Rita; Saputra, Muhammad Akhyar Aji; Hanifiyah, Fitriyatul
FAJAR Jurnal Pendidikan Islam Vol. 5 No. 1 (2025): FAJAR Jurnal Pendidikan Islam (Maret)
Publisher : Program Studi Pendidikan Agama Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/fj.v5i1.3988

Abstract

This study aims to examine the focus of scientific studies related to teacher competence and professionalism in the perspective of education, especially in the context of Islamic education. The results of the study show that the themes of teacher professionalism and teacher competence are the center of attention in the literature, which is closely linked to important aspects such as pedagogic competence, educator professional ethics, quality of education, and the social image of teachers. In addition, the analysis of temporal developments shows a shift in focus from fundamental issues to more contextual and applicative topics, such as strengthening writing competence and improving the quality of public perception of educational institutions. These findings show that the development of teacher professionalism cannot be separated from the integration of Islamic values, as well as the importance of building the character of educators who excel spiritually, morally, and intellectually. This study is expected to be a strategic reference for curriculum development, improving the quality of Islamic education, and forming ideal teachers in the perspective of Islamic values.
Personalizing Learning Using Deep Learning: Innovation in Digital Education Saputra, Muhammad Akhyar Aji; Crismono, Prima Cristi; Hudi, Saman
Jurnal Ilmu Pendidikan dan Pembelajaran Vol. 4 No. 1 (2025): Oktober 2025
Publisher : Mitra Edukasi dan Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58706/jipp.v4n1.p83-94

Abstract

In the last decade, the development of artificial intelligence, particularly in the field of Deep Learning, has rapidly advanced and driven innovations in natural language processing, computer vision, and intelligent systems. However, despite its transformative potential, the integration of Deep Learning into education remains limited and not yet systematically structured. The purpose of this research is to explore the role and impact of Deep Learning technology in education and learning, as well as to formulate optimal strategies for its integration in modern learning contexts. As artificial intelligence advances, Deep Learning emerges as a promising approach to enhance the quality of teaching and learning. This study employs a systematic literature review by analyzing recent scientific articles from Scopus-indexed journals and other academic databases. Thematic analysis was conducted to identify patterns of application, benefits, and challenges of Deep Learning implementation across different levels and forms of learning. The findings reveal that Deep Learning, through methods such as RNN and CNN, has significant potential to support personalized learning, automated assessment, and emotion detection in online education, as well as to enable interactive media based on voice and images. However, key challenges remain, including infrastructure limitations, insufficient training data, and limited educator readiness. This study contributes by proposing a conceptual framework for integrating Deep Learning into adaptive education systems tailored to individual needs. The results are expected to provide valuable insights for policymakers, educators, and technology developers in building a more responsive and inclusive learning ecosystem in the digital era.