The term desirable difficulties (Bjork, 1994) refers to conditions of learning that, though often appearing to cause difficulties for the learner and to slow down the process of acquisition, actually improve long-term retention and transfer. One known desirable difficulty is testing (as compared with restudy), although typically it is tests that clearly involve retrieval--such as free and cued recall tests--that are thought to induce these learning benefits and not multiple-choice tests. Nonetheless, multiple-choice testing is ubiquitous in educational settings and many other high-stakes situations. In this article, we discuss research, in both the laboratory and the classroom, exploring whether multiple-choice testing can also be fashioned to promote the type of retrieval processes known to improve learning, and we speculate about the necessary properties that multiple-choice questions must possess, as well as the metacognitive strategy students need to use in answering such questions, to achieve this goal.
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http://dx.doi.org/10.5406/amerjpsyc.128.2.0229 | DOI Listing |
Clinics (Sao Paulo)
January 2025
Department of Clinical Medicine, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.
Introduction: The OSCE has been a robust tool for assessing clinical skills in medical education, adaptable across various clinical domains and stages. The COVID-19 pandemic, however, posed significant challenges to traditional assessment methods. This led to the development of the OSVE as an alternative.
View Article and Find Full Text PDFAesthet Surg J
January 2025
Department of Plastic, Reconstructive and Aesthetic Surgery, Faculty of Medicine, Altınbas University, Istanbul, Turkey.
Background: Artificial intelligence (AI)-driven technologies offer transformative potential in plastic surgery, spanning pre-operative planning, surgical procedures, and post-operative care, with the promise of improved patient outcomes.
Objectives: To compare the web-based ChatGPT-4o (omni; OpenAI, San Francisco, CA) and Gemini Advanced (Alphabet Inc., Mountain View, CA), focusing on their data upload feature and examining outcomes before and after exposure to CME articles, particularly regarding their efficacy relative to human participants.
Cureus
December 2024
Medical Education, University of South Florida Morsani College of Medicine, Tampa, USA.
Background AI language models have been shown to achieve a passing score on certain imageless diagnostic tests of the USMLE. However, they have failed certain specialty-specific examinations. This suggests there may be a difference in AI ability by medical topic or question difficulty.
View Article and Find Full Text PDFOral Maxillofac Surg
January 2025
Department of Oral and Maxillofacial Surgery, German Armed Forces Central Hospital, Rübenacherstr. 170, 56072, Koblenz, Germany.
Purpose: This study aims to analyze microvascular reconstruction in Oral and Maxillofacial Surgery (OMFS) in Europe.
Methods: Based on previous studies, a dynamic online questionnaire was developed and subjected to internal and external evaluation. The questionnaire comprised multiple-choice, rating, and open-ended questions, addressing general and specific aspects and the impacts of the COVID-19 pandemic on microvascular reconstruction in OMFS in Europe.
Acad Psychiatry
January 2025
Psychiatric Research Unit, Mental Health Service Region Zealand, Slagelse, Denmark.
Objective: This study evaluated the impact of adding authentic patient video training to a base e-module featuring simulated patient videos, aimed at improving the mental status examination (MSE) skills of fifth-year medical students during their psychiatric rotation.
Methods: A randomized controlled trial (RCT) was conducted with 290 students, assigned to either an experimental group, the full e-learning group (Full), or an active comparator group, the limited e-learning group (Limited). The Limited group received a base e-module on MSE, while the Full group received both the base e-module and an additional module with 23 authentic patient videos.
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