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Didakta: International Journal of Social Sciences, Language, and Education
Published by CV SCRIPTA INTELEKTUAL MANDIRI
ISSN : -     EISSN : 31243886     DOI : 10.65310
Core Subject :
Didakta: International Journal of Social Sciences, Language, and Education is a peer-reviewed, open-access academic journal that focuses on advancing knowledge and scholarly discourse in the fields of social sciences, language studies, and education. The journal serves as an international forum for researchers, educators, practitioners, and scholars to publish original research findings, theoretical contributions, and applied studies that address current and emerging issues in social, linguistic, and educational contexts. Didakta publishes high-quality manuscripts that demonstrate academic rigor, originality, and relevance to contemporary challenges in society and education. The journal welcomes interdisciplinary perspectives that integrate social sciences, language, and education to support sustainable social development, educational innovation, and inclusive practices at both national and international levels. Manuscripts may be written in English or Indonesian. The journal is published quarterly in January, April, July, and October. Didakta is committed to open-access publishing and applies the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0), allowing unrestricted access, distribution, and reproduction of published works with proper attribution. Didakta does not charge any article processing charges (APC), ensuring equal opportunities for authors to disseminate their scholarly work.
Arjuna Subject : -
Articles 24 Documents
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Implementation of the Project-Based Learning (PJBL) Model Using A Deep Learning Approach to Enhance Students’ Learning Motivation, Critical Thinking Skills, and Independence at SMAN IT Syech Walid Thaib Shaleh Indragiri Minarni Minarni; Ali Muhson
International Journal of Social Sciences, Language, and Education Vol. 1 No. 3 (2026): : July: Didakta: International Journal of Social Sciences, Language, and Educat
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/e7ekyy02

Abstract

This study evaluates the effectiveness of a Project-Based Learning model integrated with a deep learning approach on the learning motivation, critical thinking skills, and independence of eleventh-grade students at SMAN IT Syech Walid Thaib Shaleh Indragiri. Utilizing a quasi-experimental design with a non-equivalent control group, this research provides quantitative evidence of the pedagogical shift from passive instruction to active cognitive engagement. The findings reveal that the experimental group achieved statistically superior gains in motivation, analytical complexity, and self-regulated learning compared to the control cohort. By embedding rigorous academic standards into authentic, student-led projects, the intervention successfully transformed the classroom environment into a hub for intellectual discovery. Metacognitive reflection, as a cornerstone of the deep learning framework, proved vital in deepening student understanding and fostering long-term academic autonomy. This study demonstrates that the strategic fusion of project-based structures and deep learning principles is a robust, replicable model for enhancing student outcomes, offering critical insights for educators and policymakers dedicated to advancing high-quality secondary education and preparing students for multifaceted modern challenges.  
The Social Media Content Production Process for Radio Global FM Surabaya’s Instagram Account Kadishya Aditri Kurnia; Yuli Candrasari
International Journal of Social Sciences, Language, and Education Vol. 1 No. 3 (2026): : July: Didakta: International Journal of Social Sciences, Language, and Educat
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/6rpfna03

Abstract

The digital transformation of the radio broadcasting industry requires a paradigm shift from traditional audio-centric models to integrated multi-platform strategies. This study examines the content production process of the @globalfmsby Instagram account to understand how Radio Global FM Surabaya maintains its relevance among modern women and families. Employing a descriptive-operational case study approach with immersive participatory observation, this research identifies three critical production phases: pre-production, production, and post-production. Findings reveal that the station utilizes a structured methodology involving audience-based content pillars, visual assets synchronized with brand identity, and the application of AIDA copywriting techniques bolstered by analytical evaluation. The results demonstrate that effective media convergence is not the byproduct of spontaneous creativity but the result of rigorous, data-driven planning and systematic content management. This study contributes to the literature by providing a professional framework for radio stations seeking to harmonize their broadcast heritage with the requirements of the social media attention economy, ensuring sustainable audience engagement in an increasingly fragmented digital environment.
Smart Cities and Social Disruption: A Study of Changes in The Patterns of Interaction Among Urban Residents in Palangka Raya Sriyana Sriyana; Wiwik Suprapti; Muhlis Muhlis
International Journal of Social Sciences, Language, and Education Vol. 1 No. 3 (2026): : July: Didakta: International Journal of Social Sciences, Language, and Educat
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/tyqnt393

Abstract

The integration of digital infrastructure within the smart city framework of Palangka Raya has fundamentally reconstructed the communication paradigms and sociological structures of its urban residents. This empirical inquiry investigates the complex transition from conventional face-to-face engagements to technologically mediated networks, examining the accompanying social disruptions and emergent community resiliencies. Utilizing a qualitative case study design with a triadic data collection approach, this research identifies an expansion of spatial-social boundaries characterized by highly efficient yet increasingly impersonal relationships. The accelerated adoption of municipal platforms triggers systemic disruptions, manifested through widening digital divides, intensified individualization of daily routines, and a pronounced erosion of organic communal safety nets. Conversely, urban citizens demonstrate active agency by mobilizing self-taught digital literacy, establishing interest-driven cyber spaces, and re-engineering social schedules to balance virtual connectivity with physical cultural rituals. This dynamic synthesis culminates in the conceptualization of an adaptive hybrid society, demonstrating how developing urban populations maintain humanistic resilience and cultural identity while absorbing technocratic modernizations.  
Artificial Intelligence in Education: Can AI Improve Teacher Performance or Will It Replace Them? Nida Ul Hasanah; Amar Ali Aulia; Muhammad Azhar Abdillah; Novel Daud Poedjiono
International Journal of Social Sciences, Language, and Education Vol. 1 No. 3 (2026): : July: Didakta: International Journal of Social Sciences, Language, and Educat
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/fk7gcn06

Abstract

The rapid advancement of artificial intelligence (AI) has transformed educational practices and generated critical debates regarding whether AI enhances teacher performance or threatens the continuity of the teaching profession. This study aims to examine the role of AI in education by analyzing its contributions, limitations, and potential relationship with human teachers. Employing a non-empirical qualitative literature review approach, this research synthesizes international scholarly publications concerning generative AI, personalized learning, classroom management, human-AI collaboration, and the human dimensions of teaching. The findings indicate that AI significantly improves educational efficiency through automation, adaptive learning support, and data-driven instructional assistance. Nevertheless, AI remains limited in performing affective, ethical, and relational functions that constitute essential components of effective teaching. The study concludes that AI is unlikely to replace teachers entirely but will reshape their professional roles through collaborative human-AI models. This research contributes to the theoretical development of hybrid intelligence perspectives in education and provides a comprehensive understanding of technology integration that preserves the centrality of human pedagogical expertise.

Page 3 of 3 | Total Record : 24

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