Hacettepe Üniversitesi Açık Erişim Sistemi (HÜAES)

  • HÜAES, Hacettepe Üniversitesi bünyesinde üretilen kitap, makale, tez, bildiri, rapor gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.
 

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ÖĞRETMEN KİMLİĞİ ve ÖĞRETMEN LİDERLİĞİ İLİŞKİSİNDE ÖĞRETMEN ÖZ-YETERLİLİĞİNİN ARACI ETKİSİ
(Eğitim Bilimleri Enstitüsü, 2026) GUVERCIN Derya; Eğitim Bilimleri
This study aims to investigate the mediating role of teacher self-efficacy in the relationship between teacher identity and teacher leadership. Designed as a cross-sectional predictive study using quantitative research methods, the research established teacher identity as the independent variable, teacher leadership as the dependent variable, and teacher self-efficacy as the mediating variable. Data were collected from 479 teachers working in secondary schools in İstanbul, using the Teacher Leadership Scale developed by Çetinkaya and Arastaman (2024), the Teacher Self-Efficacy Scale developed by Tschannen-Moran and Woolfolk-Hoy (2001) and adapted into Turkish by Çapa, Çakıroğlu, and Sarıkaya (2005), and the Teacher Organizational Identity Perception Scale developed by Tabak and Boyacı (2019). The data were analyzed using descriptive statistics, normality tests, t-tests, one-way MANOVA, Pearson correlation coefficient, multiple correlation, multivariate regression analysis, and Structural Equation Modeling (SEM). The findings indicate that teachers' perceptions of identity, self-efficacy, and leadership are at a high level, with significant differences observed based on gender, seniority, education level, and career stage. Moderate, positive, and significant relationships were found among the variables and their sub-dimensions. While both teacher identity and self-efficacy were found to have a direct effect on teacher leadership, self-efficacy played a significant mediating role in the relationship between teacher identity and leadership. The findings suggest that teachers with higher education and career levels may be more inclined toward leadership roles. By revealing the direct effects of teacher identity on leadership and its indirect effects through self-efficacy, this study aims to contribute to the design of teacher education, leadership development programs, and educational policies.
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SÜRDÜRÜLEBİLİR ÖGELERİN DİDAKTİKSEL DÖNÜŞÜME DAYALI İNGİLİZCE ÖĞRETİM PROGRAMINA ENTEGRASYONU: BİR EYLEM ARAŞTIRMASI
(Eğitim Bilimleri Enstitüsü, 2026) Arslan Çelik Fatma Mine; Eğitim Bilimleri
Climate change, resource depletion, pollution, and inequalities, as global challenges, necessitate transformative approaches to environment and development. This action research, employing both qualitative and quantitative methods, aims to examine the effects of integrating sustainability-oriented educational elements into 7th grade English classes on students’ academic achievement and views. The data collection instruments consisted of parallel achievement tests developed by the researcher, an observation form, and semi-structured interview forms prepared separately for students, teachers, school administrators, and parents. Research data were collected from 26 seventh-grade students studying at a public middle school selected through appropriate sampling, as well as from five teachers, two administrators, and three parents. Within this scope, an instructional intervention including sustainability themes and concepts, designed by the researcher as a supplement to the English language curriculum, was implemented with seventh-grade students over one academic term, and changes resulting from the intervention were examined. The findings revealed that the implementation increased students’ knowledge of sustainable development issues and their affective engagement, and contributed to the emergence of views valuing the importance of disseminating knowledge and educating others to build a sustainable future. As a result of the study, positive differences were observed in qualitative data such as interviews, observations, and journals, while quantitative data supported these findings by showing a statistically significant increase in students’ achievement test scores. It was emphasized that the English language curriculum is a subject area that can coherently integrate sustainability topics and make use of a wide variety of materials. This study is expected to demonstrate the impact of sustainability-oriented education on English language teaching, contribute to the field, and inform individuals who will conduct research in this area.
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Hollanda’da Yaşayan Nitelikli Türk Gençlerinin Sosyal Etkileşimlerinde ve İşe Erişim Durumlarında Kültürel Farklılıkların Rolü
(Sosyal Bilimler Enstitüsü, 2025) Kocakavak, Saadet; Sosyoloji
With the acceleration of globalization, international migration has become a complex sociological phenomenon, not only linked to individual mobility but also shaped by unequal resource distribution, cultural interaction, and political dynamics. Following the Second World War, Europe’s economic growth led many countries to seek labor from surrounding regions. One such country was the Netherlands. Over time, increasing migration resulted in a significant Turkish population. Today, however, migrants in the Netherlands are notably affected by the global rise of far-right discourses, xenophobia, racism, and Islamophobia. Among the problems they face, the most visible occur in professional life and daily experiences. This study explores the experiences of qualified Turkish youth living in the Netherlands, focusing on their access to employment, work life, social relations, and daily practices. It investigates whether they face challenges based on ethnicity or religious belief; if so, what these are, in what context they arise, and how they affect participants’ work and daily lives. The fieldwork of this qualitative study was conducted in the Netherlands. Within the framework of a phenomenological design, in-depth interviews were used as the data collection method. Data were gathered through interviews with 24 participants selected via purposive sampling. The findings show that the proportion of youth exposed to exclusion and discrimination based on ethnicity or religion in work and daily life is higher than that of those who are not. In social interaction, this rate is lower. Despite possessing qualifications such as language skills, education, and professional competence, many participants reported experiencing racism, Islamophobic actions and discourse, and xenophobia. The rise of far-right ideology in the Netherlands, fueled by xenophobia and Islamophobia, has negatively impacted qualified Turkish youth.
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Hisse Senedi Getirileri ile Kârlılık Arasındaki İlişki: BİST 30 Endeksinde İşlem Gören Firmaların Analizi
(Sosyal Bilimler Enstitüsü, 2025) Düzenli, Zafer; İşletme
This thesis empirically investigates the relationship between stock returns and profitability ratios based on quarterly data from 2019 to 2023 for 24 companies that are continuously traded in the Borsa Istanbul (BIST) 30 Index, a key indicator of the Turkish capital markets. The main objective of the study is to reveal the impact of profitability ratios—one of the financial performance indicators of companies—on investors’ expectations regarding stock returns, thereby contributing to more rational investment decisions. The exclusive focus on profitability ratios in this study is primarily to achieve results that are more aligned with the research objective, statistically robust, and meaningful. Profitability ratios are considered more sensitive indicators by investors as they directly reflect a firm’s income-generating capacity and capital utilization efficiency. Including other financial ratios in the model would result in a more complex, multidimensional structure, potentially increasing the risk of multicollinearity and weakening the statistical distinctiveness of the analysis. In addition, this study focuses on firms included in the BIST 30 Index due to their high liquidity, strong representativeness, and reliable data availability. The index comprises companies with consistent financial reporting and a relatively homogeneous structure, which enhances the validity of the panel data analysis. Consequently, the profitability-return relationship could be examined in a more focused and statistically robust model. Therefore, a focused modeling approach based solely on profitability ratios has been preferred. The research utilizes data derived from the publicly disclosed financial statements of the relevant companies, employing a panel data analysis methodology. A total of 480 observations were analyzed using Stata statistical software, based on 20 quarterly periods. In the econometric analysis, descriptive statistics were initially presented, followed by various assumption and diagnostic tests to determine the appropriate panel data model. As a result of this process, the fixed effects model was chosen. However, the Wooldridge autocorrelation test and the Jarque-Bera normality viii test indicated violations of the assumptions of autocorrelation and normality. To address the issue of autocorrelation and to ensure more reliable results, the Prais-Winsten estimator, a robust estimation technique, was applied. According to the findings, variables such as Return on Assets (ROA), operating profit margin, and net profit margin were found to have statistically significant and directional effects on the stock returns of the companies analyzed. In contrast, other profitability indicators did not show a statistically significant impact on stock returns. In addition, the fact that the dummy variable for the COVID-19 pandemic period has a positive and significant coefficient reveals that market dynamics differ and investor behavior changes during crisis periods. These findings provide important policy implications for both investors and company managers. From an investor's perspective, the significant relationship between stock returns and key profitability indicators such as ROA, operating profit margin, and net profit margin suggests that portfolio formation should not be limited to market data alone. Accordingly, it is crucial for investors to closely monitor profitability related performance indicators in financial statements and integrate these insights into their decision making processes, to reduce investment risks and optimize returns. For company managers, the results underscore the strategic importance of managing profitability in a sustainable manner and improving financial performance—particularly operational profitability—to enhance firm value and investor confidence. In this context, to meet investor expectations, companies should not solely focus on short-term profit targets but instead develop long-term, sustainable profitability strategies. Such strategies will not only enhance resilience against market fluctuations but also contribute to preserving and increasing the firm’s market value in the eyes of investors.
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İnsani Yardım Lojistiğinde Tesis Kapasite Kararları ile İki Aşamalı Rota Kapsama Problemi
(Sosyal Bilimler Enstitüsü, 2025) Güvenç Pelit, İlay; İşletme
In post-disaster scenarios, delivering aid to all individuals in need is often hindered by various reasons such as limited logistical resources, and time constraints. A commonly adopted strategy involves expecting victims within a certain distance from relief centers to collect aid themselves, while available vehicles are used to reach more distant locations. This network design problem can be defined as a Covering Tour Problem (CTP), which this study extends into the Two-Echelon Covering Tour Problem with Facility Capacity Decisions (2E-CTP). The 2E-CTP considers a two echelon humanitarian logistics network where aid is delivered from a central depot to relief centers and then to victim locations, incorportating multi-coverage, density levels and milk-run routing strategies. The objective is to minimize total operation time while determining relief center locations, density levels, demand allocation, and vehicle routes. The problem is formulated as a Mixed Integer Linear Programming (MILP) model. To solve medium-to-large scale instances efficiently, a MILP-based divide-and-conquer heuristic algorithm is developed. The model is tested on a base case dataset from Istanbul’s Üsküdar district and evaluated under various scenarios involving key features such as multi-coverage, motorized/non-motorized covering distances, and density levels. The results highlight the importance of considering density levels in reducing total operation time. The proposed heuristic algorithm is further tested on 16 datasets, demonstrating significant improvements with up to 54.11% reduction in operation time and up to 99.81% decrease in computational time, compared to the 2E-CTP model. This study presents a novel and comprehensive contribution to the related literature by simultaneously addressing multi coverage, multi-depot routing, two-echelon routing, and density-dependent capacities.