371
Views
6
CrossRef citations to date
0
Altmetric
Research Article

Avoiding honest feedback: Discordance between formal evaluations and candid assessments of Kuwaiti PBL students

, , &
Pages 459-464 | Published online: 12 Mar 2013
 

Abstract

Background: Problem-based learning (PBL) allows faculty to observe students interact and solve problems. Thus, it represents a prime opportunity to provide authentic feedback on learners’ knowledge, skills, and attitudes. However, we are concerned that PBL faculty do not accurately convey feedback to students.

Methods: To assess the difference between formal evaluations and candid assessments of student performance, we conducted a study of 178 preclinical medical students at Kuwait University. We quantitatively compared PBL evaluations of students with candid assessments of students’ competence as obtained from structured interviews with 19 PBL facilitators. We also compared facilitators’ comments on the module evaluations with candid comments solicited during the interviews.

Results: We did not find a strong quantitative or qualitative correlation between faculty feedback and their candid impressions of student performance. Thematic analysis of the comments disclosed multiple factors that influenced the accuracy and specificity of faculty feedback.

Conclusions: Systematic discrepancies between feedback given to students and actual assessments of their performance can result in false reassurance of competence, which undermines our curricular efforts and prevents the trainee from achieving his or her full potential.

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 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 771.00 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.