Zarinkhail, Mohammad Shuaib
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Exploring the Fusion of Enterprise Architecture, Blockchain, and AI in Digital Governance: A Systematic Review Hakimi, Musawer; Zarinkhail, Mohammad Shuaib; Musawi, Sayed Zabihullah
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2832

Abstract

The worldwide significance of the digital revolution in governance has grown recently, with governments using cutting-edge technology to enhance services, transparency, and citizen engagement. The research investigates the integration of blockchain technology, artificial intelligence (AI), and enterprise architecture (EA) into digital governance. Examining how these technologies may enhance government services' effectiveness, responsibility, and openness might contribute to a deeper understanding of them. Encompasses all literary works published between 2017 and 2024, including scholarly articles, conference papers, and reputable reports from repositories such as Google Scholars, IEEE Xplore, Scopus, Web of Science, and SpringerLink. This comprehensive analysis examines the functions of artificial intelligence (AI), blockchain technology, and enterprise architecture (EA) in electronic government (e-government) initiatives. An extensive dataset uncovers prevalent concerns, challenges, opportunities, and effects across several technologies. The research findings indicate that the EA framework significantly enhances interoperability and efficiency. Additionally, blockchain technology guarantees data integrity and transparency by using immutable records. Moreover, artificial intelligence enhances service delivery by automating procedures and improving decision-making skills. Nevertheless, the process of incorporating these technologies may need some help. These challenges include the compatibility between blockchain and existing systems, the need for skilled workers in AI, and reluctance to change inside organizations. Although there are some problems, it may provide advantages such as less duplication of tasks, enhanced traceability, and heightened public confidence. Integrating blockchain, artificial intelligence, and enterprise architecture presents unparalleled possibilities for revolutionizing digital governance. Future research should prioritize the scalability of these technologies, the establishment of new governance frameworks, and the ethical implications of artificial intelligence on public decision-making. Through the identification and resolution of acknowledged obstacles and the use of technological advantages, governments may construct governance systems that are more effective, open, and responsible. This study provides a basis for policymakers and experts to explore advanced digital governance solutions.
Revolutionizing Technology Education with Artificial Intelligence and Machine Learning: A Comprehensive Systematic Literature Review Hakimi, Musawer; Zarinkhail, Mohammad Shuaib; Ghafory, Hamayoon; Hamidi, Shir Ahmad
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i2.5640

Abstract

Machine learning and artificial intelligence in education will help to personalize the student learning process, reduce the time wastage in imploding administration systems, and innovate teaching methods. The article reports the findings of a study on the effects of these technologies on the educational systems of application, benefits, and challenges and looks forward to the implications. This has been realized through a systematic review of peer-reviewed journal articles, government reports, and policy documents published between 2021 and 2024. Results show great benefits, including enhanced personalized learning experiences and administrative efficiencies, but also highlight several challenges, such as equitable access, data privacy, and the need for professional development of educators. Rather, this research outlines the imperatives that there is a need to address challenges for the realization of the potential of AI and ML in education. The paper makes recommendations for key stakeholders and points out areas for possible future research to guide sustainable and ethical integration into educational systems. Further research should be done to understand whether these technologies affect student outcomes in the long term and are applicable with the same efficacy in other cultural and socioeconomic contexts.