Journal of Social Science Utilizing Technology

Contextual Learning Strategies in Improving Students Understanding of Islamic Values

2025-05-29T22:58:32+07:00

Background. Contextual Teaching and Learning strategies are an effective approach to improve students" understanding of Islamic values by relating the subject matter to real situations that are relevant to daily life.

Purpose. This study aims to analyze the influence of contextual learning strategies in strengthening students" understanding of Islamic teachings.

Method. The method used is a qualitative-based literature study with data tracing from scientific journals, books, and recent research reports.

Results. The results of the analysis show that contextual learning is able to increase students" active engagement, strengthen their understanding of Islamic values, and motivate the application of these teachings in real life. In addition, the role of teachers as creative and innovative facilitators is the key to the successful implementation of this strategy. The implications of this study confirm the importance of integrating Islamic values and experiential learning strategies to create a meaningful and holistic educational process.

Conclusion. Contextual learning strategies are effective in instilling Islamic values in an applicative and meaningful manner. This approach encourages student engagement and 21st century skill development. Its success requires the support of teachers, schools, and synergistic policies.

AI-Powered Governance: Exploring the Role of Artificial Intelligence in Shaping Public Service Innovation

2025-06-24T22:19:02+07:00

Background. The rapid advancement of Artificial Intelligence (AI) has significantly transformed various sectors, including public governance. In the face of increasing demands for efficiency, transparency, and citizen-centric services, governments around the world are turning to AI to reimagine the structure and delivery of public services.

Purpose. This research explores how AI technologies are being integrated into public governance systems to drive innovation, enhance administrative performance, and foster participatory governance. The objective of this study is to analyze the extent to which AI-powered tools contribute to the modernization of public service delivery and to identify the challenges and ethical considerations arising from this transformation.

Method. This study employs a qualitative research approach using a systematic literature review method. A comprehensive analysis of academic articles, policy reports, and case studies was conducted, focusing on AI applications in public service innovation across multiple countries.

Results. The results reveal that AI has played a pivotal role in automating administrative tasks, improving data-driven decision-making, and enabling predictive services. However, the implementation of AI also introduces concerns regarding algorithmic transparency, data privacy, and accountability.

Conclusion. The study concludes that while AI holds immense potential to reshape public governance and stimulate service innovation, its success depends on the alignment of technological capabilities with inclusive policy frameworks and ethical standards. Future governance models must prioritize human oversight, regulatory compliance, and equitable access to ensure sustainable innovation.

The Future of Privacy in a Connected World: A Socio-Economic Analysis

2025-03-27T08:18:51+07:00

Background. In an increasingly connected world, where data flows seamlessly across digital platforms and devices, the concept of privacy has become more complex and contested. The rise of big data, the Internet of Things (IoT), and artificial intelligence has dramatically altered how personal information is collected, stored, and used. While these technological advancements offer convenience and economic value, they also pose significant risks to individual privacy and raise socio-economic concerns related to surveillance, digital inequality, and data governance.

Purpose. This study aims to analyze the future of privacy from a socio-economic perspective by exploring how privacy concerns vary across different income, education, and demographic groups. The research investigates both individual perceptions and institutional practices regarding data protection in the digital age.

Method. Using a mixed-methods approach, the study combines a survey of 500 participants from diverse socio-economic backgrounds with in-depth interviews of policymakers, technologists, and privacy advocates. Quantitative data were analyzed using regression models to identify key predictors of privacy concern, while qualitative data were examined thematically to uncover broader social patterns.

Results. Findings reveal that lower-income groups often have less access to privacy tools and are more vulnerable to data exploitation. Education level significantly correlates with privacy awareness, and trust in institutions varies widely. The study highlights a growing privacy gap between socio-economic classes, with policy frameworks struggling to keep pace with technological change.

Conclusion. The study concludes that equitable privacy protection requires inclusive digital literacy initiatives, transparent regulatory systems, and stronger accountability mechanisms in data-driven environments.

Blockchain for Social Trust: Rebuilding Transparency in Public Sector Transactions through DLT

2025-06-24T22:24:31+07:00

Background. The erosion of public trust in government institutions has become a critical global concern, driven largely by persistent issues of corruption, inefficiency, and opaque administrative processes. Amid this trust deficit, blockchain technology—especially Distributed Ledger Technology (DLT)—has emerged as a promising tool to rebuild transparency, accountability, and citizen engagement in the public sector.

Purpose. This study aims to examine how blockchain can be strategically implemented to restore social trust by enhancing transparency in public sector transactions.

Method. This study uses a qualitative method supported by several case studies, this study analyzes the initiative of real world blockchain adoption in countries such as Estonia, the United Arab Emirates, and Indonesia. Data was collected through analysis of policy documents, expert interviews, and comparative evaluation of the DLT -based public administration framework.

Results. The findings indicate that blockchain’s immutable and decentralized architecture significantly mitigates information asymmetry, reduces opportunities for fraud, and enables real-time auditing of government activities. Moreover, smart contract integration allows for automatic enforcement of public service agreements, further reinforcing institutional integrity. However, the study also highlights critical challenges such as legal uncertainties, technological literacy gaps, and resistance to institutional change that may hinder effective implementation.

Conclusion. In conclusion, while blockchain is not a panacea for all governance issues, it presents a powerful foundation for restoring social trust when embedded within a broader ecosystem of legal reform, digital literacy, and civic participation. This research contributes to the growing discourse on digital governance by offering a conceptual and empirical basis for blockchain-enabled transparency in the public sector.