Menzli Leila Jamel, Smirani Lassaad K, Boulahia Jihane A, Hadjouni Myriam
Department of Information Systems, College of Computer and Information Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Elearning Deanship and Distance Education, Umm Al-Qura University, Saudi Arabia.
Heliyon. 2022 Jul 11;8(7):e09885. doi: 10.1016/j.heliyon.2022.e09885. eCollection 2022 Jul.
Open Educational Resources (OER) are teaching, and research resources provided under the Creative Commons (CC) licenses and can be freely used, shared, and modified. However, OER adoption is not widespread, and various barriers remain in the way of its growing emphasis. This article is aimed to investigate OER adoption in higher institutions by using Rogers' Diffusion of Innovation (DOI) theory. 422 responses to an online survey from faculty are gathered and analyzed, where adaptive attributes of DOI are adopted. The results of the descriptive method confirmed that relative advantage has a positive impact on faculty OER adoption. Indeed, positive impacts of observability and complexity are also shown. Ultimately, the findings from the structural model used, indicated that there is a positive correlation between trialability and respectively complexity and compatibility. Whereas relative advantage of OER impacts positively complexity and negatively compatibility. This study showed that it is not enough that faculty agree on OER benefits for teaching and research, the OER adoption rate must increase. Decision-makers in higher institutions are asked to perform additional OER initiatives to overcome challenges related to OER trialability, complexity, and compatibility.
开放教育资源（OER）是根据知识共享（CC）许可提供的教学和研究资源，可以免费使用、共享和修改。然而，OER的采用并不广泛，在其日益受到重视的道路上仍然存在各种障碍。本文旨在运用罗杰斯的创新扩散（DOI）理论，研究高等院校中OER的采用情况。收集并分析了422份教师对在线调查的回复，其中采用了DOI的适应性属性。描述性方法的结果证实，相对优势对教师采用OER有积极影响。事实上，可观察性和复杂性也显示出积极影响。最终，所使用的结构模型的结果表明，可试用性分别与复杂性和兼容性之间存在正相关。而OER的相对优势对复杂性有积极影响，对兼容性有消极影响。这项研究表明，仅仅让教师认同OER对教学和研究的益处是不够的，OER的采用率必须提高。要求高等院校的决策者开展更多的OER举措，以克服与OER可试用性、复杂性和兼容性相关的挑战。
