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All Journal International Journal of Management Science and Information Technology (IJMSIT) Journal of Artificial Intelligence and Digital Business Journal of Community Service and Society Empowerment
Shahidzay, Amir Kror
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences

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AI for Social Good: Leveraging Artificial Intelligence for Community Development Hasas, Ansarullah; Hakimi, Musawer; Shahidzay, Amir Kror; Fazil, Abdul Wajid
Journal of Community Service and Society Empowerment Том 2 № 02 (2024): Journal of Community Service and Society Empowerment
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jcsse.v2i02.592

Abstract

This research explores the impact of Artificial Intelligence (AI) on community development, spanning healthcare, education, environmental sustainability, and community empowerment. The purpose of this study is to comprehensively analyze the perceptions and experiences of participants in underserved communities regarding AI applications. Employing a mixed-methods approach, quantitative surveys provide statistical insights, complemented by qualitative narratives to capture nuanced perspectives. The methodology involves surveying 120 participants from diverse occupations and age groups, utilizing Likert scales and regression analysis. The results reveal a positive perception of AI across domains, emphasizing its potential for positive societal outcomes. Noteworthy is the statistical significance of AI's impact on healthcare, education, and environmental sustainability. The inclusion of qualitative narratives enriches the findings, providing depth to statistical measures. The novelty of this study lies in its holistic exploration of AI's impact on community development, integrating quantitative and qualitative dimensions. The research contributes to the field by providing nuanced insights into the multifaceted aspects of AI in community contexts. In conclusion, this study underscores the need for responsible AI deployment, aligning with community values, as communities navigate the evolving technological landscape.
Evaluation of High-Tech Projects Failure Factors in Afghanistan Gharanai, Mohammad Hanif; Shahidzay, Amir Kror; Sahnosh, Faqeed Ahmad
International Journal of Management Science and Information Technology Vol. 5 No. 1 (2025): January - June 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v5i1.3318

Abstract

Afghanistan ranks among the unfortunate low-income countries lacking viable and consistent electronic government systems, policies, and infrastructure for project execution. Despite the country's adoption of technology, digital systems and ICT projects remain inefficient and prone to vulnerabilities, hindering the delivery of reliable services to both the Afghan government and its citizens. This research assesses various technology-based projects to uncover the underlying causes of failures. The study’s main goals include pinpointing these root causes, exploring the link between policies and ICT initiatives, evaluating platforms and services, and offering recommendations to enhance the environment for the effective and timely execution of ICT projects. A focus on user-centered design is maintained throughout the research process, which employs a mixed-methods approach. This study provides valuable insights for both private and public sectors to implement projects more effectively. We aim for this research to shed light on the factors leading to failures during the planning, design, and implementation phases of projects, encouraging a reflective approach moving forward.
Exploring the Broad Impact of AI Technologies on Student Engagement and Academic Performance in University Settings in Afghanistan Fazil, Abdul Wajid; Hakimi, Musawer; Shahidzay, Amir Kror; Hasas, Ansarullah
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 2 No. 2 (2024)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v2i2.268

Abstract

This article explores the pivotal intersection of Artificial Intelligence (AI), student engagement, and academic performance in higher education, specifically at Kabul University. As technology evolves, understanding AI's implications on education becomes critical for effective pedagogical strategies and student readiness. The research aims to bridge the gap between technological advancements and educational practices, comprehensively investigating AI's impact on student engagement and academic performance. The study addresses awareness, ethical considerations, autonomy perceptions, and AI integration into curricula. Employing a quantitative approach, the study involves 200 students from various Kabul University faculties, utilizing SPSS version 23 for analysis. Regression analyses, ANOVA, and structured questionnaires allow a nuanced exploration of AI engagement dimensions. Key findings indicate commendable AI awareness in students' daily lives, with room for improvement in academic integration. Ethical considerations emphasize a baseline for ethical AI use. Autonomy perceptions and AI tool engagement reveal nuanced layers, emphasizing a holistic AI education approach. In conclusion, this research advocates a balanced AI integration in education, offering implications for pedagogical strategies, curriculum development, and institutional policies. The findings guide educators, policymakers, and institutions in navigating AI-enhanced learning environments, ensuring students' technological literacy and ethical grounding.
Co-Authors Fazil, Abdul Wajid Gharanai, Mohammad Hanif Hakimi, Musawer Hasas, Ansarullah Sahnosh, Faqeed Ahmad