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Comprehensive Analysis of AI's Contribution to Global Economic Development Abdur Rohman; Asfahani Asfahani; Khurshed Iqbal; Loso Judijanto; Rony Sandra Yofa Zebua
Journal of Artificial Intelligence and Development Vol. 2 No. 2 (2023): AI Deevelopment
Publisher : Edujavare Publishing

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Abstract

This article presents a comprehensive analysis of the contribution of artificial intelligence (AI) to global economic development. This research aims to fill the knowledge gap by presenting a comprehensive analysis of the contribution of AI to global economic development. The method used in this research involves a comprehensive approach that includes literature analysis, case studies, and evaluation of the latest global economic data. Through a holistic approach, this research explores the impact of AI from various perspectives, including economic growth, labor markets, ethical aspects, and social implications. The research results show that the widespread implementation of AI technology has positively impacted productivity and efficiency in various sectors, driving significant GDP growth. However, inequality in access and benefits of AI technology has also been found, requiring special attention in global policy formulation. Through pairing with previous research and integrating economic and innovation theory, this article provides deep insight into the complexity of the interactions between AI and global economic development. In doing so, this article not only enriches our understanding of the role of AI in a global context but also details how relevant theories can be updated to reflect the evolving dynamics of AI's dominance in the global economic landscape.
International Benchmarking of Teacher Training Programs: Lessons Learned from Diverse Education Systems Asfahani Asfahani; Samar A. El-Farra; Khurshed Iqbal
EDUJAVARE: International Journal of Educational Research Vol. 2 No. 1 (2024): EDUJAVARE: International Journal of Educational Research
Publisher : Edujavare Publishing

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Effective teacher training programs are critical to the quality of education systems worldwide. Comparison of teacher training programs between countries, known as international benchmarking, provides valuable insight into best practices and areas for improvement. This research aims to conduct an international benchmarking study to examine and compare teacher training programs in various educational systems. The research methodology chosen for this study was a Systematic Literature Review (SLR), which was used to understand the basic principles of Islamic education and their practical application in the Indonesian context. The data used in the SLR approach comes from scientific literature found in academic databases and other reliable sources of information. The analytical process in this research includes a thorough and systematic synthesis of related literature using a qualitative approach. The findings of this research reveal the diverse landscape of teacher training programs in various countries. Successful programs often emphasize practical classroom experience, ongoing professional development, and alignment with the specific needs of students and society. Challenges include limited resources, variations in program quality, and adaptation to rapidly evolving educational technologies and pedagogical approaches. This research underscores the importance of international benchmarking to inform and improve teacher training programs worldwide. Lessons from diverse education systems can guide policymakers, educators, and stakeholders in designing more effective and responsive teacher training initiatives. By promoting best practices and addressing common challenges, this research contributes to improving the overall quality of teacher education and, consequently, the quality of education itself in diverse global contexts.