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Faculty development programs improve the quality of Multiple Choice Questions items' writing.

ABSTRACT: The aim of this study was to assess the utility of long term faculty development programs (FDPs) in order to improve the quality of multiple choice questions (MCQs) items' writing. This was a quasi-experimental study, conducted with newly joined faculty members. The MCQ items were analyzed for difficulty index, discriminating index, reliability, Bloom's cognitive levels, item writing flaws (IWFs) and MCQs' nonfunctioning distractors (NFDs) based test courses of respiratory, cardiovascular and renal blocks. Significant improvement was found in the difficulty index values of pre- to post-training (p = 0.003). MCQs with moderate difficulty and higher discrimination were found to be more in the post-training tests in all three courses. Easy questions were decreased from 36.7 to 22.5%. Significant improvement was also reported in the discriminating indices from 92.1 to 95.4% after training (p = 0.132). More number of higher cognitive level of Bloom's taxonomy was reported in the post-training test items (p<0.0001). Also, NFDs and IWFs were reported less in the post-training items (p<0.02). The MCQs written by the faculties without participating in FDPs are usually of low quality. This study suggests that newly joined faculties need active participation in FDPs as these programs are supportive in improving the quality of MCQs' items writing.

SUBMITTER: Abdulghani HM

PROVIDER: S-EPMC4381327 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature

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Faculty development programs improve the quality of Multiple Choice Questions items' writing.

Abdulghani Hamza Mohammad HM Ahmad Farah F Irshad Mohammad M Khalil Mahmoud Salah MS Al-Shaikh Ghadeer Khalid GK Syed Sadiqa S Aldrees Abdulmajeed Abdurrahman AA Alrowais Norah N Haque Shafiul S

Scientific reports 20150401

The aim of this study was to assess the utility of long term faculty development programs (FDPs) in order to improve the quality of multiple choice questions (MCQs) items' writing. This was a quasi-experimental study, conducted with newly joined faculty members. The MCQ items were analyzed for difficulty index, discriminating index, reliability, Bloom's cognitive levels, item writing flaws (IWFs) and MCQs' nonfunctioning distractors (NFDs) based test courses of respiratory, cardiovascular and re ...[more]

PMID: 25828516

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Project description:BackgroundChatGPT (OpenAI), a state-of-the-art large language model, has exhibited remarkable performance in various specialized applications. Despite the growing popularity and efficacy of artificial intelligence, there is a scarcity of studies that assess ChatGPT's competence in addressing multiple-choice questions (MCQs) using KIDMAP of Rasch analysis-a website tool used to evaluate ChatGPT's performance in MCQ answering.ObjectiveThis study aims to (1) showcase the utility of the website (Rasch analysis, specifically RaschOnline), and (2) determine the grade achieved by ChatGPT when compared to a normal sample.MethodsThe capability of ChatGPT was evaluated using 10 items from the English tests conducted for Taiwan college entrance examinations in 2023. Under a Rasch model, 300 simulated students with normal distributions were simulated to compete with ChatGPT's responses. RaschOnline was used to generate 5 visual presentations, including item difficulties, differential item functioning, item characteristic curve, Wright map, and KIDMAP, to address the research objectives.ResultsThe findings revealed the following: (1) the difficulty of the 10 items increased in a monotonous pattern from easier to harder, represented by logits (-2.43, -1.78, -1.48, -0.64, -0.1, 0.33, 0.59, 1.34, 1.7, and 2.47); (2) evidence of differential item functioning was observed between gender groups for item 5 (P=.04); (3) item 5 displayed a good fit to the Rasch model (P=.61); (4) all items demonstrated a satisfactory fit to the Rasch model, indicated by Infit mean square errors below the threshold of 1.5; (5) no significant difference was found in the measures obtained between gender groups (P=.83); (6) a significant difference was observed among ability grades (P<.001); and (7) ChatGPT's capability was graded as A, surpassing grades B to E.ConclusionsBy using RaschOnline, this study provides evidence that ChatGPT possesses the ability to achieve a grade A when compared to a normal sample. It exhibits excellent proficiency in answering MCQs from the English tests conducted in 2023 for the Taiwan college entrance examinations.

Project description:BackgroundAssessment of cognitive competence is a major element of the internship qualification exam in undergraduate medical education in Ethiopia. Assessing the quality of exam items can help to improve the validity of assessments and assure stakeholders about the accuracy of the go/no decision to the internship. However, we know little about the quality of exam items utilized to ascertain fitness to join the medical internship. Therefore, this study aimed to analyze the quality of multiple-choice questions (MCQs) of the qualification exam administered to final-year medical students at Debre Tabor University (DTU), Ethiopia.MethodsA psychometric study was conducted to assess the qualities of 120 randomly selected MCQs and 407 distractors. Item characteristics were estimated using the item response theory (IRT) model. T-test, one-way ANOVA, and chi-square tests were run to analyze the univariate association between factors. Pearson's correlation test was done to determine the predictive validity of the qualification examination.ResultOverall, 16, 51, and 33% of the items had high, moderate, and low distractor efficiency, respectively. About two-thirds (65.8%) of the items had two or more functioning distractors and 42.5% exhibited a desirable difficulty index. However, 77.8% of items administered in the qualification examination had a negative or poor discrimination index. Four and five option items didn't show significant differences in psychometric qualities. The qualification exam showed a positive predictive value of success in the national licensing examination (Pearson's correlation coefficient = 0.5).ConclusionsThe psychometric properties of the medical qualification exam were inadequate for making valid decisions. Five option MCQs were not better than four options in terms of psychometric qualities. The qualification examination had a positive predictive validity of future performance. High-stakes examination items must be properly created and reviewed before being administered.

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Faculty development programs improve the quality of Multiple Choice Questions items' writing.

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Faculty development programs improve the quality of Multiple Choice Questions items' writing.

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