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- Derleme MakaleAçık Erişim2025Scopus SJRQ1Factors affecting the sustainability of open educational resource initiatives in higher education: A systematic review
Aksoy, Dilara Arzugül; Kurşun, Engin; Zawacki-Richter, Olaf
This systematic review aims to examine the factors that impact the sustainability of open educational resources (OER) initiatives. A total of 226 articles from the Web of Science, ERIC and SCOPUS databases were subjected to content analysis to identify factors that influence the sustainability of OER initiatives based on the 3M (macro, meso and micro) framework. Our findings reveal that OER sustainability is influenced by different factors in different contexts, such as platform, content creator, learner, learning material and institutional setting. Within the institutional context, institutional policies categorised as a macro and meso factor, were identified as the most frequently mentioned factor affecting OER sustainability. The factors of providing institutional support and incentives were identified as meso factors. For faculty and learners, meso and micro factors such as attitude, motivation, awareness of OER, time, ICT needs and digital literacy were frequently mentioned. Access emerged as a prominent meso factor within the OER platforms dimension. Quality was identified as a critical macro and meso factor for the sustainability of OER. After the quality factor, material-related factors such as licensing, interactivity and free access emerged. Finally, an OER sustainability framework is proposed along with recommendations for researchers, practitioners and administrators to promote sustainable OER practices.
AtıfScopus4WoS4OpenAlex9
İncele - 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.
AtıfScopus27WoS18OpenAlex23İncele