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This Author published in this journals
All Journal Journal Markcount Finance International Journal of Educational Narratives International Journal of Language and Ubiquitous Learning
Omar Al-Fahim
United Arab Emirates University

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Sustainable Finance and Digital Innovation: Synergies for Achieving SDGs in Emerging Economies Imron Natsir; Omar Al-Fahim; Rasha Al-Ansari
Journal Markcount Finance Vol. 3 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jmf.v3i3.2789

Abstract

Emerging economies face increasing pressure to accelerate progress toward the Sustainable Development Goals (SDGs) while confronting structural financing gaps and uneven technological capacity. Sustainable finance frameworks have expanded rapidly in these regions, yet their effectiveness depends increasingly on the integration of digital innovation capable of enhancing transparency, efficiency, and financial inclusion. This study aims to analyze the synergistic interaction between sustainable finance instruments and digital technologies, and to assess how such integration supports SDG achievement in emerging economies. A mixed-methods approach was employed, combining policy analysis, secondary financial data, and stakeholder interviews across selected emerging markets. Findings reveal that digital platforms—such as blockchain-based reporting, mobile financial services, and AI-driven risk assessment—significantly strengthen the governance and scalability of sustainable finance initiatives. The results further show that digital innovation enables more accurate impact measurement, broadens access to green financing, and improves capital mobilization for sustainability projects. The study concludes that the convergence of sustainable finance and digital innovation creates a transformative pathway for accelerating SDG progress, particularly in economies facing institutional constraints. Strengthened regulatory alignment and cross-sector collaboration are essential to maximize long-term developmental outcomes.
The Relationship between Civic Education and Active Political Participation of Students Rasha Al-Ansari; Omar Al-Fahim; Benjamin Zang
International Journal of Educational Narratives Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v3i2.2146

Abstract

Background. This study explores the relationship between civic education and active political participation among students. As democracy and civic engagement become increasingly essential in modern societies, understanding how education influences political behavior is critical. Civic education aims to provide students with the knowledge, skills, and values necessary to participate effectively in democratic processes. Purpose. The purpose of this research is to examine how civic education impacts students’ attitudes toward political participation and their actual involvement in political activities. Method. This study uses a mixed-method approach, combining quantitative surveys with qualitative interviews. The survey was administered to 300 high school and university students, assessing their understanding of political processes, civic responsibilities, and participation in political activities. The qualitative interviews provided deeper insights into students’ personal experiences and motivations. Results. The results show that students who received more comprehensive civic education demonstrated higher levels of political awareness and were more likely to engage in activities such as voting, attending political meetings, and participating in social movements. Conclusion. The study concludes that civic education plays a significant role in fostering active political participation among students. Integrating civic education into the curriculum can enhance democratic engagement and ensure that future generations are equipped to contribute to the political landscape.  
Integration of Artificial Intelligence and Big Data in Arabic Language Learning: A New Paradigm for Personalization Dede Sutisna; Omar Al-Fahim
International Journal of Language and Ubiquitous Learning Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v2i4.1766

Abstract

Background. The integration of Artificial Intelligence (AI) and Big Data in education holds the promise of personalizing learning experiences and improving learning outcomes. The Arabic language, with its unique linguistic structure and complexities, poses specific challenges that these technologies could address. This study explores how AI and Big Data can be leveraged to enhance Arabic language learning, focusing on their potential to improve personalization and effectiveness across both formal and informal learning environments. Purpose. This research aims to investigate the impact of AI and Big Data on Arabic language learning, with an emphasis on the personalization of learning experiences and the enhancement of learning outcomes in both formal and informal educational settings. Method. A mixed-methods approach was employed, involving students from schools, universities, and language learning centers. Participants were divided into two groups: an experimental group utilizing AI and Big Data tools, and a control group relying on traditional teaching methods. Data were collected through pre- and post-test assessments, surveys, and interviews to evaluate learning outcomes and levels of student engagement. Results. The findings indicate a notable improvement in learning outcomes in both formal and informal settings. In formal learning environments, students demonstrated a 22% increase in test scores, while in informal settings, the increase was 18%. Engagement levels were higher in formal settings, with 85% of learners reporting high involvement, compared to 75% in informal settings. Conclusion. AI and Big Data significantly enhance Arabic language learning, particularly in formal educational contexts. The study underscores the importance of tailoring AI and Big Data applications to suit different learning environments for optimal effectiveness. These technologies offer a promising avenue for improving both the personalization and efficacy of language learning.
Co-Authors Benjamin Zang Dede Sutisna Imron Natsir Rasha Al-Ansari