The Chuck D. Dziuban Award for Excellence in Online Teaching

Chuck D. Dziuban Award Submission Information

The Chuck D. Dziuban Award for Excellence in Online Teaching recognizes one UCF faculty member who has recently taught an exemplary online (W) course.

The Fall 2020 submission period opens Monday, September 28 at 8:00 a.m. and closes Sunday, October 11 at 11:59 p.m.*

Award Eligibility

To be eligible for consideration, each applicant:

  • Must have a High Quality designation for the “W” course on which the submission is based. The course review is facilitated by a Center for Distributed Learning Instructional Designer. If you are not sure if your course is eligible for review, please contact your Instructional Designer for assistance.
  • Must be the original creator of the course content for the course on which the submission is based. (Note: Submissions should be on one single course only; Limit one submission per faculty member.)
  • Must have taught at least one online (W) course within the previous three years.
  • Must hold a full-time (1.0 FTE) 9- or 12-month full-time appointment (tenured, tenure-earning, or non-tenure-earning faculty member; all full-time faculty are eligible).
  • Must not have received this same award within the previous three years.

Application Procedures

The faculty review committee will select the strongest evidence-based case for exemplary online teaching based upon application packets submitted. The Dziuban Award Packet Submission Review Rubric will guide the committee’s selection. Applicants are encouraged to use this rubric for a self-evaluation of their packet before submitting.

Application will be via Qualtrics form. In addition to completing the Qualtrics form fields, please prepare for uploading a single document (Word document [*.doc] or Adobe Acrobat file [*.pdf]) containing each of the following:

  1. Course number and section of the “W” course with a High Quality designation
  2. Instructor narrative
  3. Supporting evidence/data:
    1. Student engagement
    2. Learning gains
    3. Student Satisfaction

You may choose to use the following document template to expedite your preparations: Application_Packet_Template.docx
Additionally, it is strongly recommended that applicants attend or review the Dziuban Award workshop series to help prepare for an award submission.

A note on supporting evidence/data
If it is impractical to include all evidence in a single document, please prepare and upload to the Qualtrics form one or more supporting files as appropriate for each of the following categories: student engagement, learning gains, and student satisfaction as outlined in the Dziuban Award Packet Submission Review Rubric. The instructor narrative should reference these sources of supporting evidence. For additional information regarding sources of evidence, instructor narrative, and assembling a cohesive packet, please refer to the appropriate recorded sessions in the Dziuban Award Workshop Series.

Launch Packet Submission Qualtrics Form
[Note: The Fall 2020 form opens for submissions on Monday, September 28 at 8:00 a.m. and closes Sunday, October 11, at 11:59 p.m.]

Award

The Dziuban Award for Excellence in Online Teaching recipient will receive a $1,000 travel award transferred to the recipient’s academic department for the recipient’s use in professional conference participation. The recipient will be encouraged, but not required, to submit a conference proposal related to her/his online teaching. This award will be presented at the 2021 Spring Showcase session of IDL6543 next year.

The Dziuban Award recipient will have the option to display a digital badge in the online course for which the submission is based and will be invited to share their award-winning course in a short, Center for Distributed Learning-produced video.

All Applicants will be notified in writing of the outcome.

About Chuck

Chuck Dziuban is Director of the Research Initiative for Teaching Effectiveness at the University of Central Florida (UCF) where he has been a faculty member since 1970 teaching research design and statistics. He received his Ph.D. from the University of Wisconsin. Learn More about Chuck

*Dates are tentative and are subject to update following decisions by the faculty review committee.