Ramazan Bayindir

Artificial intelligence (AI) is rapidly transforming higher education, yet research has largely focused on pedagogical applications while its role in governance and quality assurance (QA) remains insufficiently synthesized. This study examines how AI is integrated into higher education governance and QA systems and evaluates its institutional implications. Using the PRISMA 2020 protocol, a systematic literature review was conducted in the Web of Science Core Collection. From an initial dataset of 177 publications, 48 studies met the inclusion criteria after multi-stage screening. The selected studies were analyzed through a SWOT-based thematic synthesis to identify the strengths, weaknesses, opportunities, and threats associated with AI adoption in governance and QA processes. The findings show that AI increasingly functions as a governance infrastructure supporting predictive analytics, continuous monitoring, and data-driven institutional decision-making. Key strengths include enhanced transparency, automation of quality processes, and improved strategic foresight. However, structural weaknesses such as fragmented data infrastructures, limited digital capacity, and insufficient regulatory frameworks remain significant barriers. The analysis also identifies risks related to algorithmic bias, governance opacity, and institutional inequality. Based on these findings, the study proposes the AI-Enabled Quality Governance (AEQG) Model, conceptualizing AI integration as a layered governance architecture linking institutional capacity, AI-driven decision intelligence, quality assurance mechanisms, and ethical oversight.

The rapid rise of smart building technologies powered by artificial intelligence (AI), the Internet of Things (IoT), and dynamic pricing systems is transforming energy use from a passive to an interactive process. While these innovations promise efficiency and sustainability, they also introduce new digital, cognitive, and ethical demands for building occupants. Traditional models of energy literacy, framed around cognitive, affective, and behavioral dimensions, no longer capture the competencies required in AI-driven systems. To address this gap, this article introduces the Digital Energy Literacy for Equitable Adoption (DEL-EQ) framework, which extends classical energy literacy by adding four critical dimensions: comprehension, interpretation, agency, and trust & ethics. A narrative and integrative literature review highlights how these dimensions interact with moderating factors at the individual, technological, and community levels. The novelty of DEL-EQ lies in situating digital energy literacy as both a technical and a justice-oriented capacity, thereby bridging social science and engineering perspectives. The framework offers actionable policy implications, including literacy thresholds, AI explainability, community-based training, and inclusive design. DEL-EQ thus provides scholars, designers, and policymakers with a conceptual foundation for preventing digital energy inequality and fostering the equitable adoption of smart building technologies.

This chapter conducts a bibliometric and comparative analysis of global academic outputs addressing the 17 Sustainable Development Goals (SDGs) between 2015 and 2025. The study’s distinctive contribution lies in its weighted goal-level scoring analysis, which introduces a novel quantitative framework for aligning academic intensity with official SDG progress classifications. Using data from the Web of Science Core Collection and analyzed through Bibliometrix in R, the study identifies 41,297 documents with an annual growth rate of 38.5%, reflecting accelerated scholarly engagement with sustainability themes. The analysis reveals that SDG 13 (Climate Action) dominates academic attention, followed by SDG 9 (Industry, Innovation and Infrastructure) and SDG 12 (Responsible Consumption and Production), indicating a strong emphasis on environmental and technological domains. In contrast, SDGs related to equality, biodiversity, and water (SDG 6, 10, and 15) remain underrepresented, revealing persistent thematic imbalances. Keyword co-occurrence and thematic evolution analyses reveal a transition from conceptual discussions to innovation-driven research that integrates artificial intelligence, the circular economy, and education for sustainable development. Country-level and collaboration analyses indicate a high concentration of research in advanced economies, while lower-income regions remain underrepresented despite their vulnerability. The findings reveal both convergence and divergence between research intensity and UN-reported progress, underscoring the need for a more balanced, interdisciplinary, and policy-linked research agenda to accelerate equitable global progress toward the 2030 Agenda.

Bu çalışmanın amacı, sürdürülebilir kalite güvencesi çalışmalarında sistematik iyileştirme aracı olarak örnek uygulama olma potansiyeli taşıyan Gazi Üniversitesi Kalite İyileştirme Planının (GÜ-KİP) hazırlık, güncelleme ve izleme süreçlerinin incelenmesi ve bu sayede Türk yükseköğretim sisteminde planlı iyileştirme süreçlerinin yaygınlaştırılmasının desteklenmesidir. Nitel bir desenle tekli durum çalışması stratejisi ile yürütülen bu araştırmada, Kurumun güçlü yönlerini sürdürülebilir kılmak, gelişmeye açık alanları belirleyerek bu alanlarda ilan edilmiş faaliyetlerle iyileştirmeler yapmak ve tüm süreci kanıtlanabilir bir şekilde raporlamayı amaçlamak üzere 2021 yılından bu yana kullanılmakta olan GÜ-KİP incelenmiştir. Kurumsal değerlendirme raporları, paydaş anketleri, iç ve dış paydaş görüşleri gibi zengin dayanaklarla geliştirilen, sorumlusu ve takvimi belirlenmiş iyileştirme faaliyetlerinin sistematik uygulama ve izleme mekanizmalarını geliştiren Planın, kurum genelinde uygulanması ve izleme sonuçlarının raporlanması sayesinde PUKÖ çevrimlerinin kapatılması güvence altına alınmaktadır. GÜ-KİP süreçlerinin kapsamlı bir şekilde ele alındığı bu çalışmada YÖKAK öncülüğünde kalite iyileştirme planlarının yaygınlaştırılması, bu amaçla ulusal düzeyde rehber belgelerin hazırlanması ve uygulanmasını destekleyecek eğitim programlarının geliştirilmesi önerilmektedir. Kurumsal akreditasyon ve program akreditasyonunun stratejik öncelikler içine girdiği Türk yükseköğretim sisteminde, Gazi Üniversitesi Kalite İyileştirme Planı benzeri sistematik iyileştirme araçların yaygınlaştırılması, hem üniversitelerin kurumsal kalite güvencesi çalışmalarını destekleyecek hem de Kaizen felsefesinin içselleştirilmesiyle gelecek nesiller için sürekli gelişen kurumlarda eğitim alma olanağı sağlayacaktır.

Energy storage system is becoming crucial in the electric power system. It can response to economic, environmental, geopolitical and technological considerations. Energy storage system has a great role to covering energy for power electric system as renewable energy source, improves energy efficiency and promotes the integration of variable renewable energies, brings security and flexibility to networks, control and regulation. Several studies have been focused on different energy storage technologies connected to various hybrid energy systems to supply power to the grid /load. Almost of these recent papers have been mentioned the performance and the utility of storage system in term of management, control, cost, lifetime. For this reason, an overview is offered in this paper including hybrid energy system and using various energy storage technologies to generate electric power in the aim to clarify the use of diverse storage technologies from several sides as energy management strategy, control and optimization problems. A comparative study is made to demonstrate more the analysis of this paper.