Article
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Artificial Intelligence Integrated Energy Education Framework. A Holistic Approach
Version 1
: Received: 9 May 2024 / Approved: 10 May 2024 / Online: 10 May 2024 (16:53:27 CEST)
How to cite: Stecyk, A.; Miciuła, I. Artificial Intelligence Integrated Energy Education Framework. A Holistic Approach. Preprints 2024, 2024050690. https://doi.org/10.20944/preprints202405.0690.v1 Stecyk, A.; Miciuła, I. Artificial Intelligence Integrated Energy Education Framework. A Holistic Approach. Preprints 2024, 2024050690. https://doi.org/10.20944/preprints202405.0690.v1
Abstract
This scientific article outlines the Artificial Intelligence Integrated Energy Education Framework (AI-IEEF), a transformative model designed to revolutionize energy education and management practices. The framework is organized into five distinct layers: Organizational (AI-enhanced administration systems), Financial (dynamic AI financial models), Technology (advanced simulation and modeling), Methodology (AI in curriculum development and personalized learning), and Social (AI for community engagement and impact). An expert panel used the fuzzy Delphi method to achieve consensus on twenty key factors within these layers, establishing a solid foundation for analysis. Following this, the Fuzzy Analytic Hierarchy Process (AHP) was employed to calculate precise weights for each layer and their respective factors, providing a quantitative assessment of their relative importance. These weight calculations are crucial, as they guide resource allocation and strategic decision-making to ensure the framework is optimized for the evolving needs of energy management. Furthermore, the article introduces five tailored variants of the AI-IEEF, each addressing specific aspects of energy education and offering a comprehensive approach to navigating the challenges in the field. The five variants include the Smart Campus Energy Education, Global Energy Policy Analysis, Renewable Energy Research and Development, Energy Workforce Development, and Community Engagement and Outreach variants. Each provides a distinct approach to energy education, from transforming campuses into living labs for hands-on learning to fostering international collaborations that explore the global implications of energy policy. These variants emphasize practical skills, policy analysis, and community-focused solutions, ensuring that students are well-prepared to contribute effectively to the energy sector.
Keywords
energy; education; artificial intelligence; sustainable development; Delphi; AHP
Subject
Business, Economics and Management, Other
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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