Background: In education, lecturers play a crucial role in facilitating students' learning process. However, only a few studies explored which lecturers' characteristics can facilitate this process in higher education for rehabilitation healthcare professionals. Starting from students' perspectives, our qualitative study investigated the lecturers' characteristics that facilitate students' learning process in the rehabilitation sciences.
Methods: A qualitative interview study. We enrolled students attending the 2nd year of the Master of Science (MSc) degree in 'Rehabilitation Sciences of Healthcare Professions'. Different themes were generated following a 'Reflexive Thematic Analysis'.
Results: Thirteen students completed the interviews. From their analysis, we generated five themes. Specifically, a lecturer that facilitates students' learning process should be: 1) 'A Performer who Interacts with the Classroom', 2) A Flexible Planner who Adopts Innovative Teaching Skills', 3) 'A Motivator who Embraces Transformational Leadership', 4) 'A Facilitator Who Encourages a Constructive Learning Context' and 5) 'A Coach who Devises Strategies to Reach Shared Learning Goals'.
Conclusions: The results of this study underscore the importance for lecturers in rehabilitation to cultivate a diverse set of skills drawn from the arts and performance, education, team building and leadership to facilitate students' learning process. By developing these skills, lecturers can design lessons that are worth attending not only for their relevant content but also for their value in human experience.
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http://dx.doi.org/10.1186/s12909-023-04308-y | DOI Listing |
BMC Med Educ
January 2025
Deakin Optometry, School of Medicine, Deakin University, 75 Pigdons Road, Waurn Ponds , VIC, 3216, Australia.
Background: Clinical reasoning is a professional capability required for clinical practice. In preclinical training, clinical reasoning is often taught implicitly, and feedback is focused on discrete outcomes of decision-making. This makes it challenging to provide meaningful feedback on the often-hidden metacognitive process of reasoning to address specific clinical reasoning difficulties.
View Article and Find Full Text PDFBMC Med Educ
January 2025
The First Clinical Medicine School of Guangdong Pharmaceutical University, Guangdong, People's Republic of China.
Objective: This study examines a novel teaching model that integrates the development and use of a Medical Cloud Dictionary with project-based learning (PBL). We investigate whether this integrated approach improves teaching effectiveness, enhances student learning outcomes, and reduces teaching pressure compared to traditional PBL.
Methods: One hundred student volunteers were randomly assigned to an experimental group (n = 50) and a control group (n = 50).
BMC Oral Health
January 2025
Department of Stomatology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, Guangdong, China.
Background: A comprehensive analysis of the occlusal plane (OP) inclination in predicting anteroposterior mandibular position (APMP) changes is still lacking. This study aimed to analyse the relationships between inclinations of different OPs and APMP metrics and explore the feasibility of OP inclination in predicting changes in APMP.
Methods: Overall, 115 three-dimensional (3D) models were reconstructed using deep learning-based cone-beam computed tomography (CBCT) segmentation, and their accuracy in supporting cusps was compared with that of intraoral scanning models.
BMC Pregnancy Childbirth
January 2025
Maternal-Fetal Medicine Research Center, Department of Midwifery, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: Drug use during pregnancy and post-partum undoubtedly significantly affects maternal and infant morbidity. Healthcare providers, especially midwives who care for pregnant and postpartum women, must possess adequate knowledge and clinical skills to manage their patients appropriately. This study aimed to determine the effect of an e-learning intervention on midwives' knowledge and clinical performance skills in caring for substance-dependent pregnant women during labor and post-partum.
View Article and Find Full Text PDFSci Rep
January 2025
Academy of Music, Suihua University, Suihua, 152000, China.
The purpose of this study is to investigate how deep learning and other artificial intelligence (AI) technologies can be used to enhance the intelligent level of dance instruction. The study develops a dance action recognition and feedback model based on the Graph Attention Mechanism (GA) and Bidirectional Gated Recurrent Unit (3D-Resnet-BigRu). In this model, time series features are captured using BiGRU after 3D-ResNet is inserted to extract video features.
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