Jurnal Sosioteknologi

Transformation of Arts Education in the Digital Era: Shifts in Social Interaction within Creative Learning Processes

2026-05-11T22:21:19+07:00

The rapid development of digital technologies has significantly transformed arts education, particularly in how social interactions occur within creative learning processes. This study aims to explore the transformation of arts education in the digital era, with a specific focus on shifts in social interaction patterns within creative learning. A systematic literature review (SLR) method was employed, following the PRISMA framework. Literature searches were conducted on Publish or Perish, Google Scholar, and Google using keywords including "art education," "social interaction," "creative learning," and "digital era," limited to publications from 2020 to 2026 in English or Indonesian. Six relevant studies were identified, selected, and analyzed. The findings reveal that digital technologies have fundamentally shifted social interaction patterns from physically co-present, real-time verbal communication to digitally mediated, often asynchronous, and text-based interactions. Digital art spaces enable artists and audiences to participate in three-dimensional virtual environments, yet this transformation demands adequate digital literacy from all participants. The integration of digital tools such as Filmora and YouTube, combined with Project-Based Learning, has been shown to enhance learning outcomes in arts education. However, persistent challenges remain, including limited internet access, insufficient practical materials, low proficiency in learning management systems, and inadequate digital literacy among educators and students. This study concludes that hybrid strategies balancing traditional and technology-driven pedagogies offer the most promising pathway forward. Recommendations include investing in technological infrastructure, prioritizing teacher training in digital literacy, and conducting longitudinal research on the long-term impact of digital integration on artistic competence and social interaction quality.

Subject Erosion in Science: Epistemological Study of Understanding without Explanation Phenomenon in Contemporary Science Research

2026-05-09T18:13:18+07:00

Contemporary mathematics and natural sciences (MIPA) research increasingly relies on data-intensive and algorithm-driven models that deliver high predictive accuracy without providing transparent causal explanations. This shift has given rise to the phenomenon of understanding without explanation (UwE), where scientific comprehension is decoupled from traditional mechanistic narratives. This study employs a conceptual-epistemological analysis combined with case study triangulation to examine how UwE manifests in modern research practices and how it triggers an "epistemic subject erosion" – the marginalization of the human researcher as the primary agent of causal interpretation and intellectual accountability. Findings reveal that reliance on black-box systems (e.g., AlphaFold, ensemble climate models, and machine learning for material discovery) reconfigures the scientist’s role from explanatory architect to predictive validator. This delegation of cognitive functions introduces a crisis of intellectual accountability and necessitates a paradigm shift toward a distributed epistemic subject framework. The study concludes that while UwE is pragmatically valid, it requires xenoepistemic validation criteria, algorithmic auditability, and renewed normative human oversight. Implications for Indonesian science education, research governance, and AI-ethics policy are discussed.

Erosi Subjek dalam Sains: Studi Epistemologis tentang Pemahaman tanpa Penjelasan Fenomena dalam Penelitian Sains Kontemporer

2026-05-09T17:51:28+07:00

Digital Subscriptions: an Islamic Legal Perspective on Automatic Renewal of Applications Among Generation Z

2026-04-29T11:27:45+07:00

The rapid growth of digital subscription services has normalized auto-renewal mechanisms, particularly among Generation Z. However, this convenience often leads to passive consumption and unintentional financial deductions. This study aims to analyze the practice of auto-renewal in digital subscriptions among Gen Z from both socio-technological and Islamic legal (fiqh muamalah) perspectives. Employing a quantitative descriptive approach, data was collected from 50 Gen Z respondents in Bandung through questionnaires. The findings reveal a high subscription rate (74%), yet a significant disconnect exists: 40% of users rarely or never utilize the services they continue paying for, and 24% are unaware of active auto-renewals. From a socio-technological view, platforms exploit user inertia, leading to a "subscribe-and-forget" culture. In Islamic law, specifically within the 'aqd al-ijarah (service contract) framework, this practice raises critical issues regarding the absence of continuous ridha (mutual consent) and the presence of gharar (uncertainty). Paying for unutilized services directly violates the principle of 'adl (fairness). Interestingly, while 46% perceive the system as functionally unfair, 62% still view it as legally permissible (Halal/Mubah). The study concludes there is an urgent need for enhanced digital financial literacy and ethical, transparent subscription designs.

Hijab Representation Paradox in Digital Publics: A Computational Discourse Analysis of YouTube Comments Using IndoBERT and the Moral–Sexual Discourse Index

2026-04-06T15:04:10+07:00

This study examines the paradoxical representation of hijab in Indonesian digital environments by analyzing audience discourse in YouTube comment sections. While hijab is traditionally associated with modesty and religious identity, contemporary digital representations increasingly intersect with aesthetic presentation and bodily visibility. This study investigates how such tensions are reflected in public responses to hijab-related video content.

Using a computational communication approach, 55 Indonesian YouTube videos were collected through keyword-based sampling, producing approximately 98,647 comments. A stratified subset of 2,000 comments was manually validated using a hybrid annotation strategy involving ChatGPT, Gemini, and researcher adjudication (Cohen’s κ = 0.60). The labeled dataset was used to train an IndoBERT-based discourse classifier, which achieved an accuracy of 0.856 and an F1-score of 0.851, outperforming classical machine learning baselines including Logistic Regression, Random Forest, and Support Vector Machines.

Large-scale classification results reveal that religiously framed content generated disproportionately higher engagement and discursive interaction despite lower representational frequency. These findings support the existence of a platform-mediated hijab representation paradox shaped by algorithmic visibility and normative audience participation. The study contributes to computational communication research by introducing the Moral–Sexual Discourse Index (MSDI) as a novel metric for analyzing normative tensions in digital religious representation.