While virtual learning environments (VLE) can be used in medical education as stand-alone educational interventions, they can also be used in preparation for traditional "face-to-face" training sessions as part of a "flipped classroom" model. We sought to evaluate the introduction of this model in a single module on maxillofacial radiology from a course on trauma skills. Course delegates were randomised into two groups: one was given access to an e-learning resource (test group) and the other attended a traditional didactic lecture (control group). Knowledge and confidence were assessed before and after the course with a 20-question single-best-answer paper and a 10-situation 100mm visual analogue scale (VAS) paper, respectively. All participants were then given free access to the VLE for 30days and were invited to take part in an e-survey. Neither group showed improvements in the single-best-answer scores, but both groups showed comparable improvements in VAS (control: median (range) values improved from 40.8 (17.7-82.5) mm to 62.8 (35.3-88.7) mm, p=0.001; test group: from 47.7 (10.9-58.1) mm to 60.5 (32.4-75.6) mm, p=0.005). Half of the respondents stated that they preferred the "flipped classroom" approach, and 22/22 stated that they would be "likely" or "very likely" to use an e-learning resource with expanded content. The "flipped classroom" approach was well received and there were comparable improvements in confidence. As maxillofacial radiology lends itself to online instruction with its reliance on the recognition of patterns, and problem-based approach to learning, a piloted e-learning resource could be developed in this area.
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http://dx.doi.org/10.1016/j.bjoms.2018.04.006 | DOI Listing |
J Microbiol Biol Educ
January 2025
Department of Microbiology, University of Georgia, Athens, Georgia, USA.
We present a laboratory module that uses isolation of antibiotic-resistant bacteria from locally collected stream water samples to introduce undergraduate students to basic microbiological culture-based and molecular techniques. This module also educates them on the global public health threat of antibiotic-resistant organisms. Through eight laboratory sessions, students are involved in quality testing of water sources from their neighborhoods, followed by isolation of extended-spectrum beta-lactamase-producing .
View Article and Find Full Text PDFJ Med Educ Curric Dev
January 2025
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States.
Large group collaborative teaching approaches are rapidly gaining popularity in undergraduate medical education. The case-based collaborative Learning (CBCL) pedagogy was instituted for pre-clerkship teaching at Harvard Medical School in 2015 with subsequent implementation at other medical schools. CBCL emphasizes inductive reasoning, integrates basic and clinical sciences, stimulates curiosity, and fosters teamwork.
View Article and Find Full Text PDFUrol Pract
November 2024
Department of Urology, Mayo Clinic, Rochester, Minnesota.
Introduction: The limitations of lectures are magnified when teaching technical skills. A "flipped classroom" (FC) model allows learners to first review material and replaces lectures with active teacher-learner engagement. FC has been shown to improve knowledge retention, but its impact on skill acquisition is unknown.
View Article and Find Full Text PDFJHEP Rep
January 2025
Department of Gastroenterology & Hepatology, Tytgat Institute for Liver and Intestinal Research, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Sci Rep
January 2025
School of Electronic and Information Engineering, Changsha Institute of Technology, Changsha, 410200, China.
In order to solve the limitations of flipped classroom in personalized teaching and interactive effect improvement, this paper designs a new model of flipped classroom in colleges and universities based on Virtual Reality (VR) by combining the algorithm of Contrastive Language-Image Pre-Training (CLIP). Through cross-modal data fusion, the model deeply combines students' operation behavior with teaching content, and improves teaching effect through intelligent feedback mechanism. The test data shows that the similarity between video and image modes reaches 0.
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