J Educ Eval Health Prof.  2015;12:55. 10.3352/jeehp.2015.12.55.

Smartphone-based evaluations of clinical placements-a useful complement to web-based evaluation tools

Affiliations
  • 1Faculty of Medicine, Uppsala University, Uppsala, Sweden. jesper.hessius@ltv.se
  • 2Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.

Abstract

PURPOSE
Web-based questionnaires are currently the standard method for course evaluations. The high rate of smartphone adoption in Sweden makes possible a range of new uses, including course evaluation. This study examines the potential advantages and disadvantages of using a smartphone app as a complement to web-based course evaluationsystems.
METHODS
An iPhone app for course evaluations was developed and interfaced to an existing web-based tool. Evaluations submitted using the app were compared with those submitted using the web between August 2012 and June 2013, at the Faculty of Medicine at Uppsala University, Sweden.
RESULTS
At the time of the study, 49% of the students were judged to own iPhones. Over the course of the study, 3,340 evaluations were submitted, of which 22.8% were submitted using the app. The median of mean scores in the submitted evaluations was 4.50 for the app (with an interquartile range of 3.70-5.20) and 4.60 (3.70-5.20) for the web (P=0.24). The proportion of evaluations that included a free-text comment was 50.5% for the app and 49.9% for the web (P=0.80).
CONCLUSION
An app introduced as a complement to a web-based course evaluation system met with rapid adoption. We found no difference in the frequency of free-text comments or in the evaluation scores. Apps appear to be promising tools for course evaluations. web-based course evaluation system met with rapid adoption. We found no difference in the frequency of free-text comments or in the evaluation scores. Apps appear to be promising tools for course evaluations.

Keyword

Clinical education; Course evaluation; Education evaluation; Smartphone based tools

MeSH Terms

Complement System Proteins*
Humans
Sweden
Smartphone
Complement System Proteins

Figure

  • Fig. 1. The homepage of the web based tool (A) and the app’s opening screen (B).

  • Fig. 2. (A) Radio buttons in the web-based tool and (B)radio buttons in the app, adapted for greater ease of use on a mobile device. Translation of end points: ‘dålig/obefintlig’-‘bad/non-existent’ and ‘mycket bra’-‘very good’.

  • Fig. 3. Distribution of responses on the Likert scale, averaged over all questions answered per evaluation.


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