Principles for Minimizing Errors in Examination Papers and Other Educational Assessment Instruments

Authors : Irenka SUTO, Jo IRELAND

Pages : 310-325

Doi:10.21449/ijate.897874

View : 20 | Download : 10

Publication Date : 2021-06-10

Article Type : Review Paper

Abstract :Errors in examination papers and other assessment instruments can compromise fairness. For example, a history question containing an incorrect historical date could be impossible for students to answer. Incorrect instructions at the start of an examination could lead students to answer the wrong number of questions. As there is little research on this issue within the educational assessment community, we reviewed the literature on minimizing errors in other industries and domains, including aviation, energy, and medicine. We identified generalizable principles and applied them to our context of educational assessment. We argue that since assessment instrument construction is a complex system comprising numerous interacting components, a holistic approach to system improvement is required. Assessment instrument errors stem primarily from human failure. When human failure occurs, it is not good enough to suggest that ‘to err is simply human’. Instead it is necessary to look deeper, evaluating the latent working conditions that underpin the efficacy of procedures, making the human failure more or less likely. Drawing from the aviation industry’s ergonomic SHELLO model, we articulate and explore three of the most critical working conditions that relate to our context: insert ignore into journalissuearticles values(i); time pressure, insert ignore into journalissuearticles values(ii); workload and stress, and insert ignore into journalissuearticles values(iii); wider organizational culture, including good error data collection. We conclude with recommendations for best practice in minimizing errors in assessment instruments. A ‘good’ error culture should be promoted, which avoids blaming individuals. Errors should be acknowledged readily by all, and system owners should take a scientific approach to understanding and learning from them.
Keywords : Error, Fairness, Instrument design, Examination design