Sürdürülebilir Kalkınma Amaçları

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Araştırmacılar(4)

• Bilen, Zeynep
• Kansoy, Tayyibe
• Kayalı, Bünyami
• Yıldız, Muhammet İkbal

• MakaleAçık Erişim2026Scopus SJRQ1/r/bayburt/11564
  Multi-level Emergency Remote Teaching Framework for K–12 Distance Education: A Stakeholder-based Qualitative Study

  Kayali, Bünyami; Karaman, Selçuk

  This study develops a multi-level Emergency Remote Teaching (ERT) framework for K–12 distance education, grounded in the experiences of students, teachers, parents, and administrators during the COVID-19 pandemic. Prior ERT research has predominantly focused on single stakeholder groups or produced descriptive findings without synthesizing perspectives into a structured response model. Using a qualitative case study design, semi-structured interviews were conducted with 100 participants (25 per stakeholder group) selected through maximum variation sampling. Thematic content analysis was employed to identify convergent and divergent priorities across groups, which were subsequently mapped onto the five layers of the Holistic Analytical Layer Framework (HALF): policy, system, program, course, and activity, based on their functional relevance to each layer. Findings indicate that digital infrastructure functions as a foundational system-level prerequisite shared across all stakeholder groups, while pedagogical, psychosocial, and governance priorities diverge by role. Teachers emphasized assessment reliability and instructional continuity; students highlighted engagement and psychosocial support; parents stressed communication and guidance mechanisms; while administrators prioritized governance flexibility and decision-making autonomy. The resulting framework positions ERT not as an isolated emergency improvisation but as a coordinated, multi-layered response architecture that aligns stakeholder expectations across interconnected educational layers and supports the coordination of policy, infrastructure, programmatic planning, and instructional practices during crisis periods. The study contributes to the distance education literature by transforming multi-stakeholder perspectives into an integrated framework and extending the aspplication of HALF to emergency education contexts. For e-learning practice, the framework offers school administrators and policymakers a concrete diagnostic tool for auditing crisis-preparedness across governance, infrastructure, and instructional layers, while offering teacher educators a basis for designing professional development that addresses both technical and psychosocial readiness for remote instruction. Given its single-region, qualitative design, the framework should be understood as a context-sensitive foundation for future empirical validation rather than a universally transferable model.

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  İncele
• MakaleAçık Erişim2026Scopus SJRQ1/r/bayburt/11273
  The 20-Year Evolution of Distance Education: A Bibliometric and LDA-Based Topic Model Analysis

  Yavuz, Mehmet; Balat, Şener; Kayalı, Bünyami; Gülen, Emirhan

  Although research on distance education has increased substantially in recent years, comprehensive analyses capturing the overall thematic development of the field remain limited. Modeling studies are necessary to address this gap and to uncover long-term research trends. This study aimed to reveal the trends of research conducted in the field of distance education in the last two decades by using machine learning methodology and bibliometric analysis. The unique aspect of the study was its use of the Latent Dirichlet Allocation (LDA) algorithm, a machine learning method for analysing large-scale data. Within the scope of the study, 54,444 articles in the Web of Science database were analysed. Bibliometric analysis revealed that distance education had gained significant momentum, especially in the post-pandemic period, with a wide range of applications in different disciplines such as education, management, and health. As a result of LDA analysis, 19 thematic topics were identified. Among these, digitalization, artificial intelligence, Web-based learning, and social interaction and collaboration stood out. Time series analysis showed an increasing trend for topics such as artificial intelligence and emergency distance education over the years, with less interest shown in topics such as Web-based learning and program design. The study emphasized that distance education is in a technology-driven transformation process and pointed to areas that will offer new opportunities for researchers. Furthermore, recommendations for decision-makers, such as investments in digital infrastructure, integration of artificial intelligence-based systems, and the establishment of quality standards, also emerged.

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  İncele
• MakaleAçık Erişim2026Scopus SJRQ1/r/bayburt/11211
  Investigating the relationship between social presence and transactional distance in online distance learning environments through structural equation modeling analysis

  Yavuz, Mehmet; Kayalı, Bünyami; Üstün, Ayşin Gaye; Uçar, Hasan; Erdoğdu, Erdem; Bozkurt, Aras

  While digitalization has increased flexibility in online distance learning, it has also brought challenges such as emotional strain, interactional issues, and social isolation. In this context, students’ sense of social “presence” is vital for sustaining their well-being and ensuring high-quality interaction. Grounded in Transactional Distance Theory (TDT) and the Community of Inquiry (CoI) framework, this study modeled the relationships between social presence (SP) and interaction types within the using Structural Equation Modeling (SEM). The Social Presence and Transactional Distance Scales were used as data collection instruments. The sample comprised 574 online distance learners, with data collected via an online questionnaire. The results of the SEM analysis showed that SP was a significant positive predictor of all interaction types. Findings show that SP most strongly influences student–student and student–learning environment interactions, while also significantly enhancing student–instructor, student–content, and student–interface interactions. These results indicate that online learning environments should support not only content delivery but also meaningful social interaction. The study highlights the value of SP-oriented design in open, online and distance education systems and offers strategic recommendations for instructors, content developers, and digital learning administrators. Future research should compare synchronous and asynchronous learning structures.

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  AtıfScopus5·WoS4·OpenAlex7

  İncele
• Derleme MakaleAçık Erişim2026Scopus SJRQ1/r/bayburt/11113
  Artificial Intelligence Supported Online Assessment and Evaluation in Higher Education: A Systematic Review With SWOT Analysis

  Üstün, Ayşin Gaye; Kayalı, Bünyami; Yavuz, Mehmet

  Artificial intelligence-supported online assessment and evaluation (AI-SOAE) systems have the potential to transform assessment and evaluation processes in higher education; however, there is a need for a comprehensive evaluation of the pedagogical, technical, and ethical dimensions of these systems. In this regard, the study systematically examined the characteristics of AI-SOAE systems within the framework of a SWOT analysis. A systematic literature review method was used in the research. Ninety-eight studies published between 2018 and 2025 in the Web of Science (WoS), Scopus, and Education Resources Information Centre (ERIC) databases were analysed in accordance with PRISMA guidelines. The findings show that the strengths of AI-SOAE systems include personalised feedback, advanced assessment processes, increased efficiency, and data-driven decision support mechanisms. In contrast, technical infrastructure limitations, algorithmic biases, data management issues, and negative user experiences were identified as the weaknesses of the systems. The analysis also reveals that AI-SOAE systems offer significant opportunities in terms of pedagogical transformation, digitalisation, and institutional competitiveness; however, they face threats such as data security, ethical concerns, risks to academic integrity, and limited empirical evidence. Consequently, AI-SOAE systems offer context- and application-dependent potential for supporting assessment and evaluation practices in higher education. Effectively realising this potential depends on strengthening technical infrastructure, managing algorithmic risks, and developing transparent, ethical, and institutional policy frameworks. By synthesising the literature in the field of AI-SOAE in a structured manner, this study provides a comprehensive assessment for researchers, educators, and policymakers. © The Author(s) 2026. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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  AtıfScopus1·WoS1·OpenAlex3

  İncele
• MakaleAçık Erişim2025/r/bayburt/16222
  Uzaktan Öğretici Rolündeki Öğretmenlerin Dijital Yeterliklerinin İncelenmesi

  Yavuz, Mehmet; Kayali, Bünyami

  Çalışmada uzaktan öğretici rolündeki öğretmenlerin dijital yeterliklerinin belirlenerek çeşitli değişkenler açısından incelenmesi amaçlanmıştır. Bu doğrultuda çalışmada nicel araştırma yöntemlerinden tarama modeli kullanılmıştır. Çalışmanın örneklemini uzaktan öğretim deneyimine sahip 470 öğretmen oluşturmaktadır. Çalışmada veri toplama aracı olarak Eğitimciler için Dijital Yeterlilikler Çerçevesi ölçeği kullanılmıştır. Çalışmada betimsel ve kestirimsel analiz yöntemleri kullanılmıştır. Çalışma sonucunda öğretmenlerin dijital yeterlik çerçevesinin ortalaması hesaplanmıştır. Ortalamanın dijital yeterlik çerçevesindeki karşılığı “Uzman” sınıfına denk gelmektedir. Cinsiyet faktörüne göre öğretmenlerin dijital yeterlik düzeyleri erkek öğretmenlerin lehine anlamlı farklılık göstermiştir. Bununla birlikte çalışılan okul düzeyi, öğrenim seviyesi, günlük teknolojik cihaz kullanım süresi ve deneyim gibi faktörler açısından ise öğretmenlerin dijital yeterlik düzeyleri arasında anlamlı farklılık gözlenmemiştir.

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  İncele
• MakaleAçık Erişim2025Scopus SJRQ1/r/bayburt/14334
  The Effects of Artificial Intelligence Supported Flipped Classroom Applications on Learning Experience, Perception, and Artificial Intelligence Literacy in Higher Education

  Yavuz, Mehmet; Balat, Sener; Kayali, Bunyami

  Rapid changes in the field of technology have greatly affected learning and teaching styles as in every field. Artificial intelligence (AI), which is increasingly used in the field of education for different purposes such as improving learning outcomes or solving teaching problems, is one of the important technologies that contribute to this change. It is thought that there is a need for applications based on AI technology that can meet these needs in terms of sustainability of learning, especially in ODE environments where individual learning and instant feedback are important. Accordingly, the study aims to determine the impact of AI-supported flipped classroom applications on students' AI literacy and to evaluate their experiences and perceptions towards these applications. Explanatory sequential mixed design was used as the method in the study. In this context, in the quantitative phase of the study, a one-group pretest-posttest design from the weak experimental design was used to determine students' perceptions of flipped learning and AI literacy levels. In the qualitative phase of the study, a case study was used to determine students' views on learning experiences. The sample comprised 33 university students enrolled in a Web Design and Coding associate degree program. Data were collected through a flipped learning perception scale, an AI literacy scale, and semi-structured interviews. Quantitative findings revealed a statistically significant improvement in students' AI literacy levels from pre-test to post-test. Qualitative analyses indicated that AI-supported flipped classroom practices positively influenced students' motivation, interest in the course, and personalized learning experiences. Furthermore, the model fostered collaboration by promoting interactive learning environments and enhanced critical thinking and problem-solving skills. However, students also reported challenges related to managing their time effectively within this instructional model. The study concludes that AI-supported flipped classroom applications hold promise for improving AI literacy and fostering active, student-centered learning in higher education. Nevertheless, challenges such as time management warrant further attention. It is recommended that future research explore the implementation of this model across diverse courses and educational contexts, investigate strategies to mitigate time management issues, and conduct comparative studies between AI-supported and traditional flipped classroom models to further elucidate the sources of observed positive perceptions.

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  AtıfWoS12·OpenAlex15

  İncele
• Kitap BölümüYalnız künye2025/r/bayburt/12722
  Artificial Intelligence- Supported Formative and Summative Assessment Approaches in Blended Learning Environments

  Yavuz, Mehmet; Kayali, Bünyami

  This chapter explores the role of artificial intelligence (AI) and summative assessment in blended learning environments, beginning with the historical evolution of assessment systems. It highlights the limitations of traditional methods in objectivity, validity, inclusiveness, and feedback. AI technologies address these issues through functions such as personalised learning, real- time feedback, automated scoring, and enhanced test security. AI not only reduces teachers' workload but also enriches students' learning through data- driven insights. While formative assessment guides learning based on immediate performance data, summative assessment evaluates outcomes effectively. These AI- supported approaches transform assessment into a continuous, integrated component of the learning process. The chapter also addresses ethical concerns, such as data privacy and algorithmic fairness, stressing the importance of teacher competence and secure data handling. In conclusion, AI- enhanced assessment extends beyond traditional boundaries and becomes a dynamic tool to support learning.

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  AtıfScopus1·OpenAlex1

  İncele
• MakaleYalnız künye2024/r/bayburt/16451
  Meslek Yüksekokullarında Gerçekleştirilen Acil Uzaktan Öğretim Faaliyetlerinin Değerlendirmesi: Sınırlılıklar ve Çözüm Önerileri

  Kayali, Bünyami; Irmak, Sinan

  Çalışmanın amacı pandemi dönemi gerçekleştirilen acil uzaktan eğitim faaliyetlerinin değerlendirilerek benzer kriz dönemlerine yönelik mesleki eğitim çerçevesinin oluşturulmasıdır. Çalışmada araştırma yöntemi olarak karma araştırma yöntemlerinden yakınsayan paralel desen kullanılmıştır. Araştırmanın nicel kısmında tarama yöntemi, nitel kısmında ise durum çalışması yöntemi tercih edilmiştir. Araştırma grubu bir devlet üniversitesi bünyesindeki farklı Meslek Yüksekokullarındaki 33 akademisyen ve 106 öğrenciden oluşmaktadır. Çalışmanın nicel verileri araştırmacı tarafından geliştirilen anketler yardımıyla toplanırken, nitel verileri ise yarı yapılandırılmış görüşme formları ile toplanmıştır. Toplanan nicel veriler betimsel analiz araçlarından frekans, yüzde tabloları ve ortalama kullanılarak analiz edilmiştir. Çalışmanın nitel veriler ise içerik analizi yöntemi ile analiz edilmiştir. Çalışmanın bulgularına göre genel olarak internet kaynaklı aksaklıklar yaşanırken benzer kriz dönemlerine yönelik başta internet altyapısı olmak üzere mevcut uzaktan eğitim altyapısının iyileştirilmesi gerektiğini ifade edilmiştir. Canlı derslerde sıklıkla düz anlatım yönteminin tercih edildiği ve benzer kriz dönemlerine yönelik sanal ve arttırılmış gerçeklik gibi teknolojilerin derslere entegre edilmesi gerektiği vurgulanmıştır. Ayrıca hakkaniyetli sınıf geçmeyi sağlayacak alternatif ölçme-değerlendirme yöntem ve araçlarının kullanılması gerektiği elde edilen bulgular arasındadır. Yine yüz yüze yapılamayan staj uygulamalarıyla ilgili olarak telafi, karma ya da proje kapsamında gerçekleştirilen daha esnek ve faydalı çözümlerden söz edilmiştir. Sonuç olarak benzer kriz dönemlerinde gerçekleştirilecek ders ve staj uygulamalarına yönelik karma yöntemlerin tercih edilmesi, mevcut uzaktan eğitim altyapısının iyileştirilmesi, öğrenciler arası dijital uçurumun en aza indirilmesi ile canlı ders ve ölçme değerlendirme süreçlerinin niteliğinin artırılması gerekmektedir.

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  İncele
• Kitap BölümüYalnız künye2024/r/bayburt/13146
  Assessment, evaluation, and feedback in online education with artificial intelligence-supported tools

  Kayali, Bünyami; Balat, Şener

  The increasing role of Artificial Intelligence (AI) applications in educational activities is also evident in online education. By providing personalised and adaptive learning experiences and offering support for teachers by tracking student behaviours to make inferences about student success and performance, AI reduces teachers' workload, allowing them to focus more on educational activities. AI applications especially enable the rapid and easy completion of assessment and evaluation activities, which teachers often spend significant time and effort on. Within this scope, AI-supported tools are used in online education activities to perform automatic assessments, provide real-time feedback, and conduct data analysis and performance evaluation activities. In this context, the aim of the study is determined as the examination of measurement, evaluation, and feedback activities in online education with AI-supported tools.

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  AtıfScopus9·OpenAlex8

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• MakaleAçık Erişim2023/r/bayburt/16515
  Using Metaverse in Education: Bibliometric and Content Analysis on Applications, Tools and Impacts

  Yavuz, Mehmet; Kayali, Bünyami; Balat, Şener

  The study aims to investigate the impact of metaverse technologies in the field of education. To achieve this objective, bibliometrics and content analysis were employed. During the study, a total of 178 studies were subjected to bibliometric analysis, while 112 studies specifically focused on education were examined through content analysis. The analysis revealed that most publications were concentrated in 2023 (n=98) and 2022 (n=67). Furthermore, the most frequently employed keywords in these studies included metaverse, virtual reality, augmented reality, education, and artificial intelligence. In terms of country distribution, the highest number of publications originated from China (n=103), followed by South Korea (n=73), India (n=34), and the USA (n=30). On the authorship front, the most prolific contributors were Kim, J., Lee, H., Lee, L. H., and Niyato, D. In the realm of metaverse utilization in education, virtual reality, augmented reality, mixed reality, and extended reality technologies emerged as the most prominent. Additionally, the analysis identified higher education and secondary education as the primary contexts for metaverse application. The recommendations presented in the examined studies were categorized into five groups: To Ensure a Quality Learning Experience, To Improve Student Experience, For Skill Development, To Support Education Activities, and For Material Use. Finally, regarding the limitations of metaverse technology in education, a six-category structure was identified, encompassing Technical Problems, High Cost, Ethical and Safety Concerns, Learning Requirements, Limitations of the Technology Used, and Health Problems.

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  AtıfOpenAlex1·TR Dizin1

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