Bloom's taxonomy is a resource commonly used to assess the cognitive level associated with course assignments and examination questions. Although widely utilized in educational research, Bloom's taxonomy has received limited attention as an analytical tool in the anatomical sciences. Building on previous research, the Blooming Anatomy Tool (BAT) was developed. This rubric provides discipline-specific guidelines to Blooming anatomy multiple-choice questions (MCQs). To test the efficacy of the BAT, a group of volunteers were randomly split up and asked to Bloom a series of anatomy MCQs using either the BAT or a traditional Bloom's reference called Bloom's Learning Objectives (BLO). Both groups utilized each rubric for a different series of MCQs. Examination question categorizations made using each rubric were tested for accuracy and interrater reliability. In addition, previous experience in anatomy and Bloom's taxonomy were considered. Results demonstrated that volunteers using the BAT had consistently higher levels of interrater reliability, but accuracy varied and was similar between rubrics. Neither measure was substantially impacted by experience in Bloom's taxonomy or anatomy. A poststudy survey indicated that volunteers strongly preferred the BAT and felt it was more helpful in categorizing anatomy MCQs than the BLO. These results suggest that the BAT can be useful in educational research in the anatomical sciences to aid in aligning observer judgment on Bloom taxonomic levels and improve consistency, especially when used in conjunction with a norming session prior to data collection.
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http://dx.doi.org/10.1002/ase.1507 | DOI Listing |
Indian J Ophthalmol
January 2025
Standard Chartered-LVPEI Academy for Eye Care Education, L V Prasad Eye Institute, Hyderabad, India.
Morphologie
December 2024
Departament of Morphology, Center of Biosciences, Federal University of Rio Grande do Norte, Natal (RN), Brazil.
Background: Human anatomy has long been a foundational aspect of medical education. To innovate and refine educational methodologies, it is necessary to employ tools that streamline the organization of classroom objectives. One such tool is Bloom's taxonomy (BT), a two-dimensional framework that guides the selection of verbs in defining educational objectives for curriculum components and lesson plans.
View Article and Find Full Text PDFJ Prof Nurs
December 2024
Tanner Health System School of Nursing, University of West Georgia, United States of America.
For over a century, Bloom's hierarchical taxonomy has been the gold standard for writing objectives for curricula and courses in programs of nursing. Development of courses and curricula with demonstration of nursing competencies as the outcome requires a more robust taxonomy. The American Association of Colleges of Nursing (AACN) The Essentials: Core Competencies for Professional Nursing Education requires nursing students to meet competencies in assertive leadership, personal development around adapting to ambiguity and change, and professional life-long learning.
View Article and Find Full Text PDFAnat Sci Educ
December 2024
Medical Imaging Teaching and Research Office, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, Shaanxi, China.
The traditional approach of using PowerPoint (PPT) presentations in medical imaging theory classes hinders the spatial thinking ability of most students. Consequently, the learning outcomes are often unsatisfactory. This article proposes a naked eye three-dimensional (3D) medical imaging teaching assistant app based on augmented reality (AR) technology to enhance learning interest, teaching interaction, and effectiveness.
View Article and Find Full Text PDFJMIR Med Educ
November 2024
Department of Neurology, Dr. Balmis General University Hospital, C/ Pintor Baeza, Nº 11, Alicante, 03010, Spain, 34 965933000.
Background: With the rapid advancement of artificial intelligence (AI) in various fields, evaluating its application in specialized medical contexts becomes crucial. ChatGPT, a large language model developed by OpenAI, has shown potential in diverse applications, including medicine.
Objective: This study aims to compare the performance of ChatGPT with that of attending neurologists in a real neurology specialist examination conducted in the Valencian Community, Spain, assessing the AI's capabilities and limitations in medical knowledge.
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