Mir Mohammad Naim Sadat
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E-learning and Artificial Intelligence: A Solution to the Limitations of Educational Infrastructure in Afghanistan Mir Mohammad Naim Sadat
International Journal of Educational Research Vol. 2 No. 3 (2025): International Journal of Educational Research
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijer.v2i3.394

Abstract

Higher education in Afghanistan faces chronic challenges stemming from decades of conflict, political instability, and underinvestment. Universities operate with limited infrastructure, outdated curricula, and overcrowded classrooms, leaving students underprepared for the demands of a competitive global labor market. The COVID-19 pandemic further exposed the fragility of the sector, as efforts to shift toward online learning were hindered by poor connectivity, unreliable electricity, and insufficient institutional readiness. This study investigates the potential of e-learning combined with artificial intelligence (AI) to address these systemic limitations and to provide a sustainable pathway for educational reform in fragile contexts. Adopting a qualitative design, the study draws on documentation analysis, field observations, and semi-structured interviews with lecturers, administrators, and students in Afghan universities. The data were analyzed thematically, focusing on infrastructure barriers, institutional capacity, and perceptions of AI-enhanced e-learning. Findings highlight that while conventional e-learning platforms expanded access during emergencies, they often lacked adaptability, personalization, and effectiveness in sustaining engagement. Participants demonstrated limited technical literacy regarding AI but expressed strong interest in its potential to improve teaching efficiency, student support, and inclusiveness. The absence of coherent policy frameworks and persistent gender and geographic inequalities emerged as critical challenges to equitable implementation. This study contributes to the state-of-the-art by extending discussions of AI in education into a fragile-state context, where assumptions of stable infrastructure and governance do not apply. It also problematizes the universality of technology adoption theories, suggesting the need for adaptations that incorporate structural and socio-cultural variables. AI-enabled e-learning can partially mitigate Afghanistan's educational infrastructure deficits when implemented alongside capacity building, inclusive design, and supportive governance frameworks. These findings hold relevance not only for Afghanistan but also for other fragile states seeking innovative, equitable, and sustainable educational solutions.
Exploring the Integration of Information Systems and Security Challenges in Afghanistan’s Current Market Sayed Zakariya Habib; Mohammad Ali Fahimi; Mir Mohammad Naim Sadat
International Journal of Information Engineering and Science Vol. 2 No. 4 (2025): November : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i4.323

Abstract

This study aims to investigate the integration of information systems and the associated security challenges within Afghanistan's current market, emphasizing the complex relationship between technological innovation, governance stability, and institutional readiness. Using the Delphi method, the study engaged experts from academia, government, and the private sector to identify key barriers and enablers shaping Afghanistan's digital transformation. Findings reveal that the country's progress in adopting information systems is hindered by fragmented policies, weak cybersecurity awareness, infrastructure limitations, and dependency on donor-funded projects. Despite growing recognition of the importance of digitalization, Afghanistan's institutional fragility continues to impede coordinated implementation and sustainable innovation. Comparative insights with other emerging markets highlight that long-term investment in digital literacy, regulatory coherence, and private sector engagement are critical to overcoming these barriers. The study highlights the importance of adopting a hybrid developmental model that harmonizes local institutional realities with internationally recognized technological standards, fostering adaptability and resilience within Afghanistan's volatile environment. It advances existing understanding by demonstrating how governance reform, human capital enhancement, and cybersecurity integration function as mutually reinforcing components of the nation's digital transformation. Sustainable progress depends on establishing a unified national vision that bridges technology, education, and governance, thereby reinforcing market integrity and institutional stability amid persistent security and economic uncertainty.