Background: Dental clinical educational environment plays a critical part in the inculcation of skills and enhancement of knowledge for the dental students. The objective was to assess undergraduate dental students' and interns' perceptions towards the clinical learning environment.
Methods: Current cross-sectional study was conducted from December 2020 to February 2021, using the 24-item dental clinical learning environment inventory (DECLEI) on a six point Likert scale. The possible range of cumulative score for DECLEI was from 0 to 100 (interpretation poor to excellent). The inventory was emailed to 111 students and interns at College of Dentistry, Qassim University. The relationship between the independent variables and DECLEI scores was determined by using Pearson correlation test. SPSS version-23 was used for statistical analysis.
Results: Overall response rate was 78.37%. The mean DECLEI score was noted as 67.5 ± 17.98. Among the factors, the highest mean score was documented for the systematic self-evaluation and the lowest mean score was observed for the item related to patients' punctuality for appointments. A factor-wise analysis of three subscales of DECLEI demonstrated the respondents had good perception towards all subscales with the highest mean score (72.3 ± 18.06) for Factor III and lowest mean score (61.3 ± 19.81) for Factor II. Overall, the DECELI was found to be reliable with the Cronbach's Alpha value of 0.94. The Pearson's correlation test showed the weak positive insignificant correlation of mean DECLEI score with gender and categories.
Conclusions: Present study indicated more positive than negative perceptions of the dental students related to their clinical learning environment. The DECLEI helped in recognizing both strengths and shortcomings of the dental clinical learning environment.
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http://dx.doi.org/10.4103/jpbs.jpbs_562_22 | DOI Listing |
Alzheimers Dement
December 2024
University of Tennessee, Knoxville, TN, USA.
Background: The prevalence of Alzheimer's disease and related dementias (ADRD) presents a growing public health challenge. This study introduces an innovative approach to dementia care through the development of AI agents that simulate the interactions between people living with dementia (PLWD) and their caregivers during activities of daily living (ADLs).
Method: The study employs ChatGPT (GPT4) large language models to create AI agents representing both PLWD and interventionists.
Anat Sci Educ
January 2025
Faculty of Engineering, University of Porto, Porto, Portugal.
Histology is a preclinical subject transversal in medical, dental, and veterinary curricula. Classical teaching approaches in histology are often undermined by lower motivation and engagement of students, which may be addressed by innovative learning environments. Herein, we developed a serious game approach and compared it with a classical teaching style.
View Article and Find Full Text PDFAnn Surg
January 2025
Department of Surgery, University of Alabama at Birmingham.
The magnitude of advances in surgical care inspires awe consistent with the impact of these developments on patients' lives. With this comes greater knowledge, new practices, and novel technologies for integration into residency training, making the skillset required of today's residents quite different from those in the past. Competency-based medical education and learner-centered approaches offer innovative and studied methodologies for teaching, learning, and assessment to meet the demands of today's educational environment.
View Article and Find Full Text PDFNAR Genom Bioinform
March 2025
National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi 110067, India.
Small proteins (≤100 amino acids) play important roles across all life forms, ranging from unicellular bacteria to higher organisms. In this study, we have developed SProtFP which is a machine learning-based method for functional annotation of prokaryotic small proteins into selected functional categories. SProtFP uses independent artificial neural networks (ANNs) trained using a combination of physicochemical descriptors for classifying small proteins into antitoxin type 2, bacteriocin, DNA-binding, metal-binding, ribosomal protein, RNA-binding, type 1 toxin and type 2 toxin proteins.
View Article and Find Full Text PDFInnov Aging
December 2024
Human Centered Design Department, Cornell University, Ithaca, New York, USA.
Background And Objectives: This study evaluates the feasibility of virtual reality (VR) wayfinding training with aging adults and assesses the impact of the training on wayfinding performance.
Research Design And Methods: 49 participants were recruited using a convenience sample approach. Wayfinding tasks were conducted by 3 participant groups: active VR training, passive video training, and no training, assigned randomly.
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