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All Journal Jurnal Ilmiah Manajemen dan Bisnis International Journal on Advanced Technology, Engineering, and Information System (IJATEIS) International Journal of Multidisciplinary Approach Research and Science Journal of International Accounting, Taxation and Information Systems
Khaliqyar, Khudai Qul
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Evaluating The Impact of E-Learning on Girl’s Education in Afghanistan: A Case study of Samangan University Hakimi, Musawer; Fazil, Abdul Wajid; Khaliqyar, Khudai Qul; Quchi, Mohammad Mustafa; Sajid, Saidamin
International Journal of Multidisciplinary Approach Research and Science Том 2 № 01 (2024): International Journal of Multidisciplinary Approach Research and Science
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/ijmars.v2i01.368

Abstract

This study delves into the impact of E-Learning on girls' education at Samangan University in Afghanistan, focusing on evaluating the efficacy of digital programs within the nation's intricate socio-cultural landscape. The research, encompassing responses from 106 female students through surveys, highlights the critical need for robust infrastructure, reliable internet access, and accessible devices to facilitate active participation in digital learning. Teacher training programs emerge as pivotal for the successful implementation of E-Learning. Factors such as learning support systems and the overall learning experience play significant roles in shaping student engagement and satisfaction. Despite these positive aspects, social barriers, notably gender discrimination, persist, impeding female students' access to and engagement in digital learning. In conclusion, the study suggests that E-Learning holds immense potential to broaden educational opportunities in Afghanistan. It emphasizes the necessity of substantial infrastructure investment, comprehensive teacher training, and addressing social inequalities to foster an inclusive learning environment. Policymakers and educational institutions can leverage these insights to formulate strategies ensuring equitable access to quality education for all female students at Samangan University. The research significantly contributes valuable guidance for prospective investigations and the development of E-Learning initiatives, emphasizing the transformative role of digital learning in advancing education in Afghanistan, particularly for female students.
E-Learning Adoption in Afghanistan Universities (2019-2024): A Systematic Review of Implementation, Challenges, and Future Direction Musawi, Sayed Zabihullah; Hakimi, Musawer; Nasrat, Abdulfatah; Rahmani, Khoshal Rahman; Khaliqyar, Khudai Qul; Fazil, Abdul Wajid
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 1 (2025): FEBRUARY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i1.1678

Abstract

E-learning is an approach that delivers education using digital means, wherein students access classes and resources over web-enabled devices. The study examines the integration of e-learning within Afghanistan's higher education system through a subjective research study by reviewing available literature published between 2019 and 2024 and extracted from databases such as IEEE, Springer, Science Direct, Research Gate, and Scopus. The results highlight several infrastructure barriers considered critical, which include a lack of ICT skills among both teachers and students, unstable internet access, unstable power supply situations, and a dependence on the traditional model of teaching. In addition, socio-political instability and inconsistent policies have further acted as impediments to the mass-level acceptance of e-learning.  Despite these challenges, e-learning offers opportunities for flexibility, access to different resources, and the integration of innovative teaching techniques. Cloud-based tools have proven beneficial during interruptions such as the COVID-19 pandemic, which helped in continuing education with minor interruptions. E-learning encourages independent learning and improves digital literacy, but at the same time, teachers face challenges in engaging students and supporting skill development. The disparity in internet access between the urban and rural areas aggravates the problem even further, whereby cities have more access as compared to the countryside. The study further notes that the present-day government strategies are limited in addressing e-learning, as they do not have a coherent policy framework and suffer from lack of infrastructural support. Investments in technology and teacher training are an urgent need to improve e-learning in Afghanistan.
Exploring Managerial Barriers and Strategic Opportunities for E-Learning Deployment in Afghanistan Hakimi, Musawer; Musawi, Sayed Zabihullah; Khaliqyar, Khudai Qul
Jurnal Ilmiah Manajemen & Bisnis Vol 9 No 1 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/jimb.v9i1.5535

Abstract

E-learning has common meanings with the terms network-based education, distance learning, web-based education, and computer-based education. Today, e-learning is a common learning tool for education due to its effectiveness. Due to the Covid-19 lockdown, governments shifted their regular education to an e-learning system. Apart from opportunities, this shift created challenges and obstacles to its implementation. We aim to investigate the barriers and opportunities of e-learning deployment in public universities. Hence, a case study research was designed, and data was gathered through questionnaires and interviews with 96 individuals from Kunduz, Parwan, Kabul, Takhar, Ghor, and Samangan universities, encompassing diverse fields of study. The data were analysed using SPSS 26. According to this research, 63% of participants strongly agreed with the effectiveness of e-learning implementation. Furthermore, certain opportunities and obstacles emerged after the utilization of e-learning platforms by both students and lecturers. The challenges of e-learning deployment were lack of access to the internet, lack of stable electricity, and poverty. Contribution to the literature: In comparison with the existing literature, the current study provided an analysis of e-learning in its tension-filled relationship with the broader institutional structures and sociocultural realities of public universities in Afghanistan that circumscribe teaching and learning. The analysis provided entrées into infrastructural conditions, economic contexts, and socio-political circumstances that facilitate and inhibit the implementation of e-learning while offering suggestions for policymakers and practitioners in similar consideration of areas that are similarly unstable.
The Strategic Role of Machine learning Algorithms in Bolstering Cybersecurity and Resilience Khaliqyar, Khudai Qul; Bikzad, Navid; Nasimi, Abdul Qadir
Journal of International Accounting, Taxation and Information Systems Vol. 2 No. 2 (2025): May
Publisher : CV. Proaksara Global Transeduka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70865/jiatis.v2i2.106

Abstract

The rapid evolution of cyber threats in recent years has intensified the need for intelligent and adaptive security measures. Machine learning (ML) has emerged as a promising solution, offering capabilities for real-time threat detection, prediction, and autonomous response. This systematic literature review aims to investigate the effectiveness of various machine learning algorithms in enhancing cybersecurity between 2018 and 2025. Using a predefined search strategy, articles were sourced from reputable databases including MDPI, ScienceDirect, IEEE Xplore, and SpringerLink. The review focused on peer-reviewed research examining the application of ML in cybersecurity contexts such as threat detection, cyber resilience, and automated incident response. A total of 25 studies were selected after applying strict inclusion and exclusion criteria. The analysis revealed that deep learning and ensemble methods showed superior performance in detecting complex threats, while supervised learning was prevalent in intrusion detection systems. However, issues like data imbalance, adversarial attacks, and ethical transparency were noted as significant challenges. The findings underscore the transformative role of ML in cybersecurity, yet emphasize the need for interpretability and ethical oversight. This review concludes that integrating ML with existing defense systems and human expertise is essential for building adaptive, resilient, and ethical cybersecurity solutions in the evolving digital landscape.
Co-Authors Bikzad, Navid Fazil, Abdul Wajid Hakimi, Musawer Musawi, Sayed Zabihullah Nasimi, Abdul Qadir Nasrat, Abdulfatah Quchi, Mohammad Mustafa Rahmani, Khoshal Rahman Sajid, Saidamin