As Open Educational Resources (OER) use by faculty continues to rise in higher education settings, it is important to explore metrics, such as tenure status, academic rank, discipline, and university classification, to further understand the OER landscape. Current data sets present aggregates of faculty classified as one group. In this presentation, we discuss a secondary data analysis of the Ithaka S+R U.S. Faculty Surveys disaggregated by variables such as tenure status, academic rank, discipline, and Carnegie classification.
Attendees of this session will be able to:- Develop an awareness of existing data sets within open education and understand the value of secondary data analysis.
- Understand instructor attributes that correlate with OER interest and activity.
- Consider how data on instructor attributes impacts the strategic planning of OER implementation in higher education.
