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We are delighted to have you here. EMU i-REP is your gateway to the rich academic and educational resources produced by our university. Supporting the Open Access movement, we are committed to sharing our research and scholarship as widely as possible. Explore full-text academic research results, educational materials, and more. Designed to inspire, inform, and connect our community and beyond. DSpace@EMU is an integrated information system that can support the monitoring and analysis of research and academic performance at Eastern Mediterranean University.

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Recent Submissions

Evaluation of Practice Teaching
(LINCOM Europa (Munich)) Kuter, Sıtkiye; Osam, Necdet; Osam, Ülker Vancı; Celkan, Gül
Pre-service teaching programs are critical in trainees' lives because they are not only provide training in the subject matter but also promote trainees' development by exposing them to the content of instruction in real life classroom settings. This research story elaborates on the findings of a small-scale research implemented to find out the effectiveness of the practice teaching course as regards its contents, structure, logistics and supervision provided and to make suggestions for the ongoing improvement of the program. Examination and triangulation of the multiple qualitive-quantitive data provides interesting findings regarding the effectiveness of the program. The results also yield invaluable suggestions to improve the quality of the practice teaching course.
English Language Teachers’ Motivation Towards Professional Development in North Cyprus
(Eastern Mediterranean University, 2024) Akgürel, Seval; Gilanlıoğlu, İlkay (Supervisor)
The present research explored the key factors that motivate English language teachers in public secondary schools in North Cyprus to participate in professional development activities and the challenges and barriers they experience. Sequential explanatory data collection was used in this study. A quantitative online survey was used to collect data from 108 English language teachers on the internal and external factors affecting their motivation towards PDA. Semi-structured interviews were conducted with 15 teachers who also completed the survey to get in-depth qualitative data on the parameters. The quantitative data were analysed using SPSS. The internal consistency of the items was evaluated by calculating Cronbach's alpha coefficients. The Pearson correlation coefficients were calculated to analyse the relationships between various factors, such as attitudes, self-efficacy, time constraints, funding, principal support, colleague influence, and school environment. A regression analysis was performed to investigate the influence of various factors on teachers' participation in professional development activities. Furthermore, the researcher utilised NVIVO to find the themes and systematically categorise and also examine the common ideas shared by the participants during the interviews. The quantitative results revealed a positive relationship between teachers' attitudes and their participation in professional development. The research also found that self-efficacy had a crucial role, showing that teachers who have higher levels of confidence in their abilities are more likely to actively engage in professional development activities. Furthermore, participation in professional development was significantly influenced by external factors such as time constraints, financial resources, support from school principals, influence from colleagues, and the environment of the school. The most significant external factors that affected participation were the impact of colleagues and a supportive school environment. The qualitative interview findings revealed that teachers value the chance to improve their knowledge and engage in self-exploration. However, they also face constraints related to financial resources and time limitations. Teachers are impacted by the effectiveness and relevance of previous professional development activities. Keywords: English Language Teaching, Professional Development, In-service Training, Motivation, Barriers
ELT Students’ and Instructors’ Perceptions About Online Teaching and Assessment during Covid-19
(Eastern Mediterranean University, 2023) Zeren, Nihan; Gilanlıoğlu, İlkay (Supervisor)
This study aimed to identify the perceptions of undergraduate students and instructors in the Department of Foreign Language Education regarding the emergency online education and assessment in ELT during the Covid-19 pandemic. The research specifically examined the advantages and disadvantages of online education, the efficacy of emergency training models at universities, and students' practical performance. Employing a qualitative methodology, data were gathered through semi-structured interviews. The participants included 40 students (ten from each academic year) and twelve faculty instructors in the Department of Foreign Language Education. The interviews revealed both disparities and commonalities concerning teaching and assessment during the Covid-19 pandemic. While most undergraduate students expressed positive perceptions, they also acknowledged the comparative ease of passing online exams however, technical hurdles hindered their grasp of course content, resulting in decreased motivation. Instructors shared similar perceptions, recognizing the potential benefits of online education for language teaching, yet also acknowledging technical challenges. In contrast to student perceptions, instructors emphasized that online exams' reliability was lower compared to face-to-face assessments. Instructors and students shared similar viewpoints regarding the importance of face to-face education for comprehensive comprehension and communication of course content. Both groups acknowledged the positive impact of online education on language learning within the Department of Foreign Language Education. Improved knowledge accessibility was notably reported. Furthermore, online exam scores significantly exceeded those of traditional face-to-face settings. On the other hand, this presented a challenge for ELT instructors who perceived online test outcomes as less reliable. Instructors believed they could adapt better to online exams, potentially leading to more feasible academic success. This study also highlighted undergraduates' struggles with communication and technical issues in online courses, favoring face-to-face learning for better understanding. Keywords: Emergency Online Education in English Language Education, Advantages and Disadvantages of Emergency Online Education, Advantages and Disadvantages of F2F Education, Positive and Negative Perceptions of ELT Instructors on Assessment, Positive and Negative Perceptions of ELT Students on Assessment.
Effects of the Different Mixture Techniques on the Hardened and Durability Properties of Recycled Aggregate Concrete
(Eastern Mediterranean University, 2025) Toker, Enver; Eren, Özgür (Supervisor)
Using recycled aggregate in the manufacturing of concrete is a green way to preserve natural resources and lessen pollution in the environment. Various treatment techniques are applied to enhance the appeal of using recycled concrete aggregate (RCA) in concrete; however, these techniques increase the cost of the product. This study examined how different mixing techniques impact the mechanical and durability properties of concrete with untreated RCA. For this purpose, eighteen different mixtures were made using two different RCA obtained from ready-mix concrete plant waste and old demolished building waste, three different mixing techniques (Normal mixing approach, two-stage mixing approach and sand envelope mixing approach) and three replacement levels (20%,30%,50%). In the study, it was determined that the two-stage mixing technique reduced the water requirement of concrete and improved the compressive strength by 3.3%, splitting tensile strength by 14.2%, modulus of elasticity by 4.2% and impermeability in RCAn series concretes. Moreover, it was determined that the concrete produced with natural aggregate obtained from old building waste had 21% higher compressive strength and 7.2% higher modulus of elasticity than the concrete with normal aggregate at 20% and 30% replacement levels, respectively. Keywords: concrete, recycling, aggregate, mixing, environment.
Voltage Sag Mitigation in the Distribution System by Optimal Allocation of Distributed Generation Units
(Eastern Mediterranean University, 2022) Kanzi, Saman; Sirjani, Reza (Supervisor)
In this thesis, a genetic algorithm (GA) based optimization is used to increase the voltage stability of a power network employing Distributed Generation (DG) Units. GA determines the best placements for DG Units in the power network. The number and sizes of DGs utilized are likewise calculated using the specified method. First, the backward/forward sweep method has been tweaked to enable for analysis of the iterative process' convergence. Then, rectified the issue without the use of GA has been applied. The key rationale for adopting GA to tackle the problem is that, given the quantity and size of DGs, determining the ideal locations for them might be quite difficult and time intensive. An index termed objective indices, which indicates the power flow and voltage deviation of the power network, is proposed to evaluate and compare the possible options. The bus voltages, and hence the network's VI, are determined using a Forward/Backward load flow. Moreover, by weight factors method (WF), because of the approach utilized, all WFs have an equal probability of influencing the output of the objective function, making them unified and dimensionless. As a result, by considering the number of buses affected by voltage sag has been considered to mitigate the voltage sag and enhancing voltage amplitudes in a radial distribution system. The findings imply that using DGs enhances the voltage stability of the network. Furthermore, because GA is an optimization algorithm, it may discover the best solution for the issue in terms of the number, size, and position of DGs after a given number of iterations. The thesis finishes with the best solution to the problem as well as the load flow data for the ideal condition. Keywords: Distributed Generation, Genetic Algorithm, Particle Swarm Optimization, Objective Function, Weight Factor, Backward/Forward Power Flow, Voltage Indices, Active and Reactive Power Losses.