Article Per Year (5 Year)
p-Index From 2021 - 2026
0.778
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This Author published in this journals
All Journal Indonesian Journal of Multidisciplinary on Social and Technology Journal of Communication Studies and Society EDUTREND: Journal of Emerging Issues and Trends in Education
Musawer Hakimi
Samangan University, Samangan, Afghanistan
Computer Science & IT Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Assessing The Efficiency of Web-Hosted E-Learning Platforms in Afghanistan Academic Settings: An Exploration at Herat University Frishta Amiri; Tamanna Quraishi; Musawer Hakimi; Abdul Wajid Fazil
EDUTREND: Journal of Emerging Issues and Trends in Education Vol. 1 No. 1 (2024): EDUTREND: Journal of Emerging Issues and Trends in Education
Publisher : Lembaga Riset dan Inovasi Masyarakat Madani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59110/edutrend.309

Abstract

This study investigates the utilization and effectiveness of web-hosted e-learning platforms within the academic environment of Herat University. Adopting a quantitative research design, data were collected through a structured questionnaire administered to students and faculty members across various disciplines. The sample comprised 190 respondents from the Faculty of Medical, Education, Computer Science, Economics, and Law. Analysis involved descriptive statistics and chi-square tests using SPSS 26 software. Findings revealed diverse platform preferences, with HELMS emerging as the most commonly used platform. Overall, participants expressed high satisfaction levels with platform usability and perceived effectiveness in facilitating student engagement and interaction. Challenges related to cost, internet connectivity, and technical issues were identified, impacting the learning experience. Recommendations include enhancing platform usability through user-friendly interfaces and comprehensive training, as well as addressing technical and connectivity challenges. The study contributes to understanding the current landscape of e-learning at Herat University and provides insights for improving educational practices and policies.
Gender, Ethnicity, and Education–Job Mismatch in Afghanistan: Evidence from Kabul University Graduates Mohammad Samim Miskinyar; Shuaib Hakimi; Musawer Hakimi
COMMUSTY Journal of Communication Studies and Society Vol. 5 No. 1 (2026)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/commusty.v5i1.7736

Abstract

The objective of this paper is to examine the impact of gender and ethnicity on the incidence of education job-mismatch among graduates of Kabul University. Using data collected from 272 graduates of Kabul University’s 2015 cohort and employing a logistic regression model, this study investigates whether the Afghan labor market provides equal opportunities for these graduates to obtain jobs related to their fields of study, regardless of their gender and ethnic background. More than half of the graduates (55.5%) are employed in jobs that do not match their academic disciplines. However, gender and ethnicity do not play a statistically significant role in this mismatch.  This investigation was limited to a specific population, namely, graduates of Kabul University in 2015. Despite broader gender and ethnic inequalities in Afghan society, this study suggests that the country’s labor market offers relatively equal opportunities for graduates to find appropriate employment. - This pattern of equality in Afghanistan’s labor market should be strengthened and sustained through regular, broader assessments and the implementation of practical steps.
Ethical AI Communication and Public Trust: Examining the Role of Transparency in Digital Media Mohammad Nawab Turan; Musawer Hakimi; Hamayoon Ghafory; Ahmad Jamy Kohistani
COMMUSTY Journal of Communication Studies and Society Vol. 5 No. 1 (2026)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/commusty.v5i1.7780

Abstract

The rise of Digital Media incorporating Artificial Intelligence raises important issues related to public trust; algorithmic transparency; and ethical standards for communication. In this study, a mixed methods approach was used to explore AI transparency disclosure practices and their association with public trust in digital media among a sample of 1,247 adults across six countries. The study utilized a survey instrument developed for this study, as well as qualitative thematic analysis of 614 open-ended responses. Results showed that disclosure of transparency practices accounted for the largest variation in public trust (beta = .38, p < .001). It also revealed moderating effects of digital media literacy and media skepticism on trust. A confirmatory structural equation model with a reasonable fit (CFI = .96, RMSEA = .048) provided validation of the Integrated Ethical AI Communication Framework. The study also indicated that structured transparency mechanisms; formalized oversight of editorial content; and explicit policies holding algorithms accountable to ensure transparency would substantially increase public trust across all demographic subgroups viewed to have access to digital news services. The findings indicate, in particular, that digital newsrooms should pair AI transparency disclosures with active media literacy initiatives, and that regulators should mandate minimum content standards for algorithmic disclosure rather than mere disclosure presence, in order to realise the full trust-building potential of ethical AI communication.
Investigating the Integration of Big Data Technologies in Higher Education Settings Khatera Akrami; Mursal Akrami; Fazila Akrami; Musawer Hakimi
Indonesian Journal of Multidisciplinary on Social and Technology Vol. 2 No. 2 (2024): Maret - Juni
Publisher : PT Ilmu Data Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/ijmst.v2i2.296

Abstract

The integration of big data technologies in higher education is a topic of growing interest due to its potential to revolutionize teaching, learning, and administrative processes. This study aims to explore the impact of big data technologies on educational practices and outcomes in higher education settings. Through a comprehensive investigation, including literature review, surveys, and statistical analysis, the study examines the utilization, effectiveness, and challenges associated with integrating big data technologies in educational settings. Key findings reveal a significant positive correlation between the utilization of big data technologies and the frequency of interaction among faculty, researchers, and practitioners. Additionally, faculty training is identified as a crucial factor influencing the successful integration of big data technologies in higher education. Institutional support emerges as a key facilitator in the effective implementation of big data technologies, while student readiness, including technological proficiency and willingness to engage, is found to positively correlate with integration efforts. The perceived effectiveness of big data technologies mediates the relationship between integration efforts and outcomes in higher education settings. Based on these findings, recommendations are provided to enhance the integration of big data technologies in higher education, including the need for continuous faculty training, institutional support, and student readiness initiatives. Overall, this study contributes to the ongoing discourse on leveraging data-driven approaches to enhance educational practices and outcomes in higher education.
Co-Authors Abdul Wajid Fazil Ahmad Jamy Kohistani Fazila Akrami Frishta Amiri Hamayoon Ghafory Khatera Akrami Mohammad Nawab Turan Mohammad Samim Miskinyar Mursal Akrami Shuaib Hakimi Tamanna Quraishi