Evaluation of a new automated spotter style exam for assessment of anatomical knowledge

Morton, Stuart, Xu, Yong and Joplin, Ruth (2012) Evaluation of a new automated spotter style exam for assessment of anatomical knowledge. [in special issue: Abstracts presented at the Joint Winter Meeting of the Anatomical Society, British Association of Clinical Anatomists and Institute of Anatomical Sciences, 19th to 21st December 2011, University of Cardiff, Wales] Clinical Anatomy, 25 (6), 806.

Abstract

The use of traditional specimen-based anatomy spotters as a means of assessment has declined in recent years. This is partly due to increasing student numbers and thus time required for conducting such exams; marker variability and impartiality are also issues. In an attempt to address these problems, we introduced a robust and modified MCQ-style spotter exam for dental students. Predominantly image based, the examination requires students to choose from multiple answer options. Either a positive whole mark per question is awarded or fraction thereof according to the following algorithm: x = a/max(b,c), where x = score per question, a = number of matched correct answers, b = actual number of correct answers, and c = total number of answers selected by candidate. Performance in conventional specimen-based spotter assessments was compared with that of the MCQ-style format, and minimal differences between average marks were noted. Advantages of the MCQ format include automated marking and thus consistent accurate scores, reduced marking time, and consistency between different administrators. Disadvantages include initial time for preparation and checking of master answer sheet, clear instructions for students who require a formative assessment. In conclusion, this MCQ-style examination may provide significant advantages for institutions unable to conduct traditional spotter exams.

This record has no associated files available for download.

Contributors

Author: Stuart Morton

Download statistics