This study aimed to compare the knowledge and interpretation ability of ChatGPT, a language model of artificial general intelligence, with those of medical students in Korea by administering a parasitology examination to both ChatGPT and medical students. The examination consisted of 79 items and was administered to ChatGPT on January 1, 2023. The examination results were analyzed in terms of ChatGPT’s overall performance score, its correct answer rate by the items’ knowledge level, and the acceptability of its explanations of the items. ChatGPT’s performance was lower than that of the medical students, and ChatGPT’s correct answer rate was not related to the items’ knowledge level. However, there was a relationship between acceptable explanations and correct answers. In conclusion, ChatGPT’s knowledge and interpretation ability for this parasitology examination were not yet comparable to those of medical students in Korea.
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Purpose Since 2004, the Korea Institute of Medical Education and Evaluation has been responsible for the evaluation and accreditation of medical schools in Korea. The 2nd cycle of evaluations was conducted from 2007 to 2011. The present study aimed at testing the goodness of fit of the items used in the 2nd cycle of evaluation and accreditation based on the Rasch model.
Methods Dichotomous data on 40 medical schools were analyzed using Winsteps, a tool based on the Rasch model that includes goodness-of-fit testing.
Results Two of the 109 items had an outfit mean square exceeding 2.0. The other 107 items showed a goodness of fit in the acceptable range for the outfit mean square. All items were in the acceptable range in terms of the infit mean square. Furthermore, 1 school had an outfit mean square exceeding 2.0, while all schools were in the acceptable range for the infit mean square. An outfit mean square value over 2.0 means that an item is a outlier. Therefore, 2 items showed an extreme response relative to the overall response. Meanwhile, the finding of an outfit mean square over 2.0 for 1 school means that it showed extraordinary responses to specific items, despite its excellent overall competency.
Conclusion The goodness of fit of the items used for evaluation and accreditation by the Korea Institute of Medical Education and Evaluation should be checked so that they can be revised appropriately. Furthermore, the outlier school should be investigated to determine why it showed such an inappropriate goodness of fit.
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Purpose Smart device-based testing (SBT) is being introduced into the Republic of Korea’s high-stakes examination system, starting with the Korean Emergency Medicine Technician Licensing Examination (KEMTLE) in December 2017. In order to minimize the effects of variation in examinees’ environment on test scores, this study aimed to identify any associations of variables related to examinees’ individual characteristics and their perceived acceptability of SBT with their SBT practice test scores.
Methods Of the 569 candidate students who took the KEMTLE on September 12, 2015, 560 responded to a survey questionnaire on the acceptability of SBT after the examination. The questionnaire addressed 8 individual characteristics and contained 2 satisfaction, 9 convenience, and 9 preference items. A comparative analysis according to individual variables was performed. Furthermore, a generalized linear model (GLM) analysis was conducted to identify the effects of individual characteristics and perceived acceptability of SBT on test scores.
Results Among those who preferred SBT over paper-and-pencil testing, test scores were higher for male participants (mean± standard deviation [SD], 4.36± 0.72) than for female participants (mean± SD, 4.21± 0.73). According to the GLM, no variables evaluated— including gender and experience with computer-based testing, SBT, or using a tablet PC—showed a statistically significant relationship with the total score, scores on multimedia items, or scores on text items.
Conclusion Individual characteristics and perceived acceptability of SBT did not affect the SBT practice test scores of emergency medicine technician students in Korea. It should be possible to adopt SBT for the KEMTLE without interference from the variables examined in this study.
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Purpose The dimensionality of examinations provides empirical evidence of the internal test structure underlying the responses to a set of items. In turn, the internal structure is an important piece of evidence of the validity of an examination. Thus, the aim of this study was to investigate the performance of the DETECT program and to use it to examine the internal structure of the Korean nursing licensing examination.
Methods Non-parametric methods of dimensional testing, such as the DETECT program, have been proposed as ways of overcoming the limitations of traditional parametric methods. A non-parametric method (the DETECT program) was investigated using simulation data under several conditions and applied to the Korean nursing licensing examination.
Results The DETECT program performed well in terms of determining the number of underlying dimensions under several different conditions in the simulated data. Further, the DETECT program correctly revealed the internal structure of the Korean nursing licensing examination, meaning that it detected the proper number of dimensions and appropriately clustered the items within each dimension.
Conclusion The DETECT program performed well in detecting the number of dimensions and in assigning items for each dimension. This result implies that the DETECT method can be useful for examining the internal structure of assessments, such as licensing examinations, that possess relatively many domains and content areas.
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