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All Journal International Journal of Teaching and Learning (INJOTEL) INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE (INJOLE)
Baskoro Ajie
Politeknik ATK Yogyakarta, Indonesia
Education Mathematics Other

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SCOPE OF EDUCATION MANAGEMENT: RELATIONSHIP BETWEEN ORGANIZATION, ADMINISTRATION AND EDUCATION MANAGEMENT Gimin; Achmad Nashrul Waahib; Baskoro Ajie
International Journal of Teaching and Learning Vol. 2 No. 6 (2025): International Journal of Teaching and Learning (INJOTEL)
Publisher : Adisam Publisher

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Abstract

This study aims to examine in depth the scope of educational management with a focus on the relationship between the organization, administration, and management of education. These three components are considered the main pillars in managing an effective and efficient education system. The research method used is a literature study. The results of the study indicate that the organization, administration, and management of education have a close relationship and influence each other in the process of managing education. The organization acts as a fundamental structure that provides a framework for the implementation of educational activities, while the administration is responsible for the arrangement and coordination of operational processes within the organization. Educational management focuses on strategic planning, decision making, and control to ensure the achievement of educational goals optimally. The organization, administration, and management of education are three main pillars that cannot be separated in achieving educational goals. Each pillar has a specific role and function that complements and supports each other. Without good synergy between the three, the education system will not be able to function optimally.
THE ECONOMICS OF AI-DRIVEN PRODUCTIVITY: ARE TRADITIONAL GROWTH MODELS OBSOLETE? Loso Judijanto; Novira Fazri Nanda; Baskoro Ajie
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Vol. 2 No. 12 (2025): SEPTEMBER
Publisher : Adisam Publisher

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This study aims to analyze the relevance of traditional economic growth models in the context of artificial intelligence-driven productivity gains. The rapid development of AI has triggered significant changes in the structure of production, distribution, and consumption, raising questions about whether classical theoretical frameworks such as the Solow growth model, endogenous theory, and human capital-based models are still capable of explaining modern growth dynamics. Using a literature review, this study examines recent empirical and theoretical findings related to AI's contribution to productivity, its impact on labor markets, and its implications for income distribution. The analysis shows that AI introduces a new factor of production, "algorithmic capital," characterized by high scalability and low marginal costs, potentially shifting the fundamental assumptions of conventional growth models. Furthermore, the disruptive nature of AI has the potential to create wider productivity gaps between countries and industries, not fully captured by traditional models. The study concludes that while classical growth models remain relevant as a foundation for analysis, adaptations to the theoretical framework are needed to integrate the role of AI technology as a key determinant of 21st-century productivity. The study also recommends the development of a hybrid growth model capable of capturing the dynamics of exponential technology and the more asymmetric distribution of benefits.
Co-Authors Achmad Nashrul Waahib Gimin Loso Judijanto Novira Fazri Nanda