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Data-Driven Curriculum Revisions in an Online University
PROCEEDINGS

, Kaplan University School of Health Sciences, United States

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Orlando, Florida, USA ISBN 978-1-880094-83-9 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

This Best Practice is a follow-up to a presentation on instituting course level assessments (CLAs) at our online university. Since the CLA process has been implemented in all courses in our school, we now have longitudinal CLA data in addition to our existing end of term student and faculty surveys. We have developed a method of collecting and analyzing these data, and incorporated the results into our curriculum revision procedure. As a result, we are now able to document and track curriculum revisions that are tied to course outcome and student satisfaction data, which is important for accreditation. The conference presentation will include a power point presentation, demonstration of our data-gathering process, and examples of data and resultant course changes.

Citation

Iannelli, G. (2010). Data-Driven Curriculum Revisions in an Online University. In J. Sanchez & K. Zhang (Eds.), Proceedings of E-Learn 2010--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (p. 651). Orlando, Florida, USA: Association for the Advancement of Computing in Education (AACE). Retrieved October 26, 2020 from .

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