Claim Missing Document
Check
Articles

Found 2 Documents
Search

Transforming Rural Communities through IoT: Socio-Digital Challenges and Opportunities in Afghan Agriculture Azizi, Abdullah; Himmat, Bilal; Danish, Jawad
APLIKATIF: Journal of Research Trends in Social Sciences and Humanities Vol. 4 No. 2 (2025): APLIKATIF: Journal of Research Trends in Social Sciences and Humanities
Publisher : Lembaga Junal dan Publikasi, Universitas Muhammadiyah Buton

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59110/aplikatif.v4i2.618

Abstract

This study investigates the challenges and opportunities associated with implementing Internet of Things (IoT) technologies in Afghanistan's agricultural sector. Using a mixed methods approach comprising surveys, interviews, and focus group discussions with 200 participants across various regions the research assesses awareness, adoption, and perceived value of IoT among Afghan farmers. Findings show that while 60% of respondents were aware of IoT, only 30% had adopted such technologies. Key barriers include inadequate infrastructure, high costs, and limited technical expertise. Social factors—such as digital illiteracy and unequal access to technology—further restrict uptake, especially in marginalized rural communities. Despite these constraints, significant opportunities exist in areas like smart irrigation, crop health monitoring, and data-driven farming. These technologies hold promises for enhancing efficiency and sustainability while promoting digital inclusion and reducing regional disparities. The study underscores the need for targeted investment in infrastructure, training, and awareness to enable broader adoption. Its insights are critical for policymakers and stakeholders seeking to advance inclusive, technology-driven agricultural development in Afghanistan.
Artificial Intelligence in Educational Leadership: Strategic, Analytical, Interactive, and Decision-Making Applications for the Digital Age Sirat, Abdul Wali; Hakimi, Musawer; Himmat, Bilal; Enayat, Wahidullah
Jurnal Ilmiah Telsinas Vol 8 No 2 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/telsinas.v8i2.7044

Abstract

AI (artificial intelligence) is becoming an increasingly important factor in educational leadership by sharpening organizational strategy, analytical decision-making, interaction, and creativity. This article aims to systematically review AI applications in educational leadership contexts that can help both leaders and followers identify significant opportunities, challenges, or outcomes as part of effective leadership practice in a digital age. A qualitative systematic literature review was conducted using several credible databases (IEEE Xplore, Science Direct, MDPI, Wiley Online Library, Web of Science) and included work published from 2018 to 2025. A search strategy was developed to include specific keywords pertaining to AI and educational leadership along with peer-reviewed and English language studies. After applying stringent inclusion and exclusion criteria during the review, 35 studies were selected and analyzed in depth. The analysis points to the possibilities of AI to boost strategic planning, efficiency in resource allocation, predictive decision making, performance monitoring and evidence-based supportive approaches to personalized learning. AI opens up intentions and engagements between leaders, educators, and learners, and serves as an evidence-based resource for leader innovation in practice. The review and commentary also highlight key issues for research and practice, namely the ethical implementation of AI in education, methodological rigor, and transparency in reporting effects, and the critical role of human and AI collaborative tandem as a leadership practice for maximization. In conclusion, AI has the potential to advance educational leaders' effectiveness toward more efficient, informed, and innovative models, while also informing research and practice implications.