746
Views
1
CrossRef citations to date
0
Altmetric
Classroom Assessment

Minimizing the gap: A thematic analysis of student peer feedback perceptions in face-to-face and online speech workshops

ORCID Icon & ORCID Icon
Pages 231-247 | Received 27 Nov 2018, Accepted 03 Aug 2019, Published online: 21 Aug 2019
 

ABSTRACT

As many colleges and universities offer increasing numbers of online courses and degree programs, debates regarding teaching public speaking online continue. This research utilizes Kluger and DeNisi’s (1996, The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin, 119, 254–284. DOI: 10.1037/0033-2909.119.2.254) Feedback Intervention Theory (FIT) as a framework for a thematic analysis examining peer feedback experiences in the speech workshop context. Student reflections were collected following a face-to-face (FtF) workshop and an online workshop facilitated through a course management system. Qualitative analysis of the data provides insights relating to several FIT central tenets (i.e. locus of attention, feedback standard gap) in both the FtF and online environments. Continued research on converting traditional FtF course components into online settings can further inform decisions on online public-speaking course offerings.

Notes

1 A previous iteration of this research was presented at the International Communication Association convention.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 66.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.