The COVID-19 pandemic spurred global engagement with continuing medical education (CME). The Canadian Advances in Neuro-Orthopedics for Spasticity Consortium's free online platform offering interdisciplinary expert lectures on spasticity saw parallel growth. We analysed 1733 responses from 41 post-session surveys to assess the learner's perspectives of online CME using a convergent mixed-methods design. The qualitative analysis produced four themes: [1] event value and satisfaction (subthemes: quality and impact of speakers, accessibility of the online format, discussions and interactions, and the benefits of visual learning), [2] increased competence (subthemes: increased knowledge, intent to apply, and increased confidence), [3] inspiring collaboration (subthemes: need for multidisciplinary teams, international collaboration, and effective communication tools), [4] considerations and recommendations (subthemes: relevance to developing countries, technical aspects, and academic level of content). Quantitative analyses supported these findings, showing high levels of satisfaction and perceived gains in knowledge. Notably, 88% of participants indicated intent to apply their knowledge, and 84% stated that it would enhance their competence. These results underscore the importance of interaction in online education and highlights a need for communication skills training to facilitate multidisciplinary teamwork. The findings revealed disparities in perceptions of the academic difficulty of CME, which warrants investigation into participants' CME selection.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/PHM.0000000000002723 | DOI Listing |
The integration of immersive Virtual Reality (I-VR) technology in education has emerged as a promising approach for enhancing learning experiences. There is a handful of research done to study the impact of I-VR on learning outcomes, comparison of learning using I-VR and other traditional learning methods, and the impact of values such as haptic sensation, and verbal and non-verbal cues on the learning outcomes. However, there is a dearth of research on understanding how learning is happening from the perspective of the behavior of the learners in the Virtual Reality Learning Environment (VRLE).
View Article and Find Full Text PDFHumans and other animals readily generalize abstract relations, such as recognizing constant in shape or color, whereas neural networks struggle. To investigate how neural networks generalize abstract relations, we introduce SimplifiedRPM, a novel benchmark for systematic evaluation. In parallel, we conduct human experiments to benchmark relational difficulty, enabling direct model-human comparisons.
View Article and Find Full Text PDFNeural Netw
March 2025
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, School of Computer Science (National Pilot School of Software Engineering), Beijing University of Posts and Telecommunications, Beijing, 100876, China.
Multimodal Public Speaking Anxiety Detection (MPSAD), which aims to identify the anxiety states of learners, has attracted widespread attention. Unfortunately, the current MPSAD task inevitably suffers from the impact of latent different types of multimodal hybrid biases, such as context bias, label bias and keyword bias. Models may rely on these biases as shortcuts, preventing them from fully utilizing all three modalities to learn multimodal knowledge.
View Article and Find Full Text PDFPatient Educ Couns
March 2025
School of Health Professions Education (SHE), Maastricht University, the Netherlands.
Objectives: Patients traditionally played a passive role in health professions education (HPE). However, their active involvement is increasingly valued, particularly in higher-resourced regions of the world known as the Global North. This study explores active and direct patient involvement in HPE contexts in the Global South (GS) regions of the world.
View Article and Find Full Text PDFKorean J Med Educ
March 2025
Department of Medical Education, Korea University College of Medicine, Seoul, Korea.
Purpose: With the accelerated adoption of artificial intelligence (AI) in medicine, the integration of AI education into medical school curricula is gaining significant attention. This study aimed to gather the perceptions of faculty members and students regarding the integration of AI education into medical curricula in the Korean context.
Methods: Faculty members and medical students' perspectives on integrating AI into medical curricula were assessed through thematic analysis of free-written responses from 157 faculty members and 125 students in a national online survey on medical AI competencies in South Korea.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!