Teaching Experience on Faculty Members’ Perceptions about the Attributes of Open Educational Resources (OER)
Muhua Zhang, China Three Gorges University ; Yan Li, Zhejiang University
iJET Volume 12, Number 4, ISSN 1863-0383 Publisher: International Association of Online Engineering, Kassel, Germany
The purpose of this study was to investigate the impact of online teaching experience on faculty members’ perceptions about attributes of OER. Rogers’ (2003) attributes of innovation theory was adopted as the theoretical base in this study. And questionnaire survey was carried out at Zhejiang University (ZJU) in China. 360 faculty members from ZJU were randomly invited to complete a questionnaire. The results of data analysis found that (1) only small portion of surveyed faculty members had online teaching experience while there was large portions of participants indicated that they would be willing to share their educational resources on the ZJU website or on outside websites; (2) the majority of the participants tended to agree that there is a relative advantage and compatibility of OER, though they were more neutral regarding the complexity, trialability and observability of OER; (3) online teaching experiences significantly impacted faculty members’ perceived trialability and observability of OER. Based on the finding, the study suggested that universities may carry out more initiatives efforts to increase faculty members’ online teaching experience and to improve faculty members’ perceived attributes of OER.
Zhang, M. & Li, Y. (2017). Teaching Experience on Faculty Members’ Perceptions about the Attributes of Open Educational Resources (OER). International Journal of Emerging Technologies in Learning (iJET), 12(4), 191-199. Kassel, Germany: International Association of Online Engineering.
Cited ByView References & Citations Map
Virginia Rodés, Adriana Gewerc-Barujel & Martín Llamas-Nistal
The International Review of Research in Open and Distributed Learning Vol. 20, No. 1 (Feb 28, 2019)
These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact email@example.com.