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All Journal DIDAKTIKA: Jurnal Pendidikan Sekolah Dasar Elementaria: Journal of Educational Research
Salman Rashid
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Religion Humanities Education Languange, Linguistic, Communication & Media Social Sciences

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Unique Impact of Library Services Based On Timezone: Case Study in Sekolah Dasar Islam Terpadu (SDIT) Alam Nurul Islam Sleman Riawan, Yahya; Aris Suharyadi; Salman Rashid
DIDAKTIKA: Jurnal Pendidikan Sekolah Dasar Vol. 8 No. 1 (2025): VOLUME 8, NUMBER 8, 2025
Publisher : Program Studi PGSD, Fakultas Ilmu Pendidikan, Universitas Negeri Yogyakarta

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Abstract

This study aims to describe: (1) the implementation of timezone services in the SDIT Alam Nurul Islam library, (2) their impact on library uses and student engagement, and (3) the challenges involved in their implementation. A qualitative descriptive approach was employed. This research was conducted at SDIT Alam Nurul Islam, Sleman Regency. The subjects of this study included school principals, teachers, librarians, and students. The results of the study concluded: 1) The implementation of time zones aims to increase student interest in libraries. It features both educational and traditional games, which are either made in-house or purchased. The most popular games among students are spinning tops and checkers.2) The positive impact is that it influences student interest and does not directly impact interest in reading and learning while a drawback is that some students become late to class due to extended playtime. 3) Implementation challenges include internal issues such as difficulties in creating games and limited space, and external issues related to student behavior. Research results show that the timezone service has a significant positive impact: (1) increasing students' enthusiasm to visit the library regularly, (2) fostering students' reading interest through targeted game media, and (3) becoming an educational entertainment alternative that supports a pleasant learning atmosphere at school. This innovation also encourages the role of the library as a child-friendly and inspiring literacy activity center. Thus, the timezone service can serve as a model for creative services that can be implemented in other elementary school libraries.
Research Trends on Deep Learning for Mathematics Learning in Scopus Database: Concept Map & Emerging Themes Using Scopus AI Zafrullah, Zafrullah; Arriza, Lovieanta; Salman Rashid; James Leonard Mwakapemba; Mariano Dos Santos; Usama Rasheed
Elementaria: Journal of Educational Research Vol. 3 No. 1 (2025): Advancements in Educational Technology Research
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/elm.v3i1.93

Abstract

This paper aims to explore the concepts and themes emerging in the literature related to "Deep Learning in Mathematics Learning" in order to understand the direction of development and current trends in the field. To achieve this goal, the study uses the Automatic Systematic Literature Review (SLR) method with the help of Scopus AI, which allows for the automatic identification of concepts and themes through the visualization of concept maps and emerging themes. The database selection focused solely on Scopus due to its high reputation and extensive coverage of high-quality international journals. The keyword used is "deep learning in mathematics learning" with a publication time limit from 2003 to 2025, thus covering early developments to the latest trends. This approach allows for systematic and efficient literature mapping without having to manually review all documents. The analysis reveals that the topic of "Deep Learning in Mathematics Learning" encompasses several emerging themes, including student performance prediction, AI integration in mathematics education, and the adoption of innovative pedagogical practices. Based on the concept map visualization, three main research directions are identified: Learning Environment, Techniques, and Applications. The theme of student performance prediction highlights the use of neural network models such as CNNs and LSTMs to analyze key factors influencing academic outcomes. Meanwhile, AI integration focuses on the development of adaptive learning platforms that personalize instruction and enhance learning effectiveness. Innovative pedagogical practices, including the use of extended reality and machine learning, aim to create immersive and interactive learning experiences. Overall, these findings underscore the significant potential of deep learning to transform mathematics education through intelligent, adaptive, and student-centered approaches.
Co-Authors Aris Suharyadi Arriza, Lovieanta James Leonard Mwakapemba Mariano Dos Santos Riawan, Yahya Usama Rasheed Zafrullah, Zafrullah