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- MakaleYalnız künye2026Scopus SJRQ2DRAWING THE BIG PICTURE OF OPEN EDUCATION: A COMPARATIVE BIBLIOMETRIC ANALYSIS
Aksoy, Dilara Arzugul
This paper aims to provide a comprehensive overview of research on open education through bibliometric analysis. English-language articles published between 1955 and 2024 in the Scopus and Web of Science databases were selected for analysis. A variety of analytical techniques were employed, including descriptive analysis, co-authorship analysis, co-occurrence analysis, and citation analysis. The findings of this study indicated that research on open education steadily increased until 2020, after which it began to decline. The study also revealed that open education research is conducted globally, though it is predominantly concentrated in countries such as the United States and the United Kingdom. Furthermore, the majority of research in open education focuses on massive open online courses, followed by open educational resources. The International Review of Research in Open and Distributed Learning was identified as the journal with the highest number of open education articles across both databases. The research findings discussed in detail, and suggestions for future research are provided. This study offers an overview of open education research, assesses the current state of the field, and provides guidance for future investigations.
- MakaleAçık Erişim2024Scopus SJRQ2Behind the Scenes: A Critical Perspective on GenAI and Open Educational Practices
Aksoy, Dilara Arzugül; Kursun, Engin
Artificial Intelligence (AI) is a rapidly evolving field that is influencing every aspect of life. Generative AI (GenAI) as a sub-branch of AI is used to create content in various formats such as text, images, video, and audio. This paper discusses the implications of GenAI for Open Educational Practices (OEP), highlighting the potential affordances and challenges. GenAI can address the challenges within the OEP by leveraging openness and ethical use. GenAI’s “generative” nature and human-like language capability can provide resources such as course material, activities, examples, questions, assessment, and learning outcomes in the context of OEP. With machine learning and deep learning infrastructure, it can support the discoverability and accessibility of open resources by increasing the metadata quality. GenAI can automatically score student assignments, answer their questions, and provide instant feedback to address the lack of interaction and feedback that arises due to the large number of students, especially in massive open online courses (MOOC). On the other hand, GenAI brings challenges such as data privacy and security, copyright, biased outputs, and the generation of false information. The conclusions emphasize the importance of a nuanced approach that considers not only the advantages but also the risks associated with adopting GenAI in the OEP world. Researching and developing how to apply these technologies to education is important to shape the future of education.
AtıfScopus27WoS18OpenAlex23
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