Using very short answer errors to guide teaching
Oliver Putt1, Rachel Westacott2, Amir H Sam3
1Division of Health Sciences, University of Warwick, Coventry, UK.
Background:
Student performance in examinations reflects on both teaching and student learning. Very short answer questions require students to provide a self-generated response to a question of between one and five words, which removes the cueing effects of single best answer format examinations while still enabling efficient machine marking. The aim of this study was to pilot a method of analysing student errors in an applied knowledge test consisting of very short answer questions, which would enable identification of common areas that could potentially guide future teaching.
Methods:
We analysed the incorrect answers given by 1417 students from 20 UK medical schools in a formative very short answer question assessment delivered online.
Findings:
The analysis identified four predominant types of error: inability to identify the most important abnormal value, over or unnecessary investigation, lack of specificity of radiology requesting and over-reliance on trigger words.
Conclusions:
We provide evidence that an additional benefit to the very short answer question format examination is that analysis of errors is possible. Further assessment is required to determine if altering teaching based on the error analysis can lead to improvements in student performance.
Related Concept Videos
Types of Errors: Detection and Minimization
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Errors and Mistakes in Surveying
Hindsight Biases
Chunking and Rehearsal in Sensory Memory
Random and Systematic Errors
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...


