This study aimed to assess the undergraduates' and lecturers' perspectives on the implementation of online learning and to compare perspectives between private and public universities. The study followed a mixed-method design and involved dental undergraduates and lecturers from two study settings in Malaysia: International Medical University (IMU), a private university, and Universiti Teknologi MARA (UiTM), a public university. All undergraduates and lecturers were invited to complete an online questionnaire with evaluative statements regarding three domains: handling, didactic benefit, motivation, and an overall assessment. The comparison of perception between the private and public universities was analyzed using Mann-Whitney test. Focus group discussions (FGDs) were carried out for undergraduates and lecturers. Each FGD consisted of six people. The audio-recorded conversations were transcribed verbatim. Mean scores of perceptions regarding the domains, handling, and motivation were higher among undergraduates from public universities ( < 0.05), while there were no differences for the didactic domain. There was no difference in perception of any of the three domains between private and public university lecturers. Mean scores for perceptions on the optimal amount of online learning in the future domains were higher among undergraduates from a public university ( < 0.05), while lecturers' perceptions showed no difference. Thematic analysis of FGDs revealed that both groups from private and public universities felt that flexibility and a student-centered approach are the advantages of online learning. The inadequacy to cover the entire curriculum and lack of student engagement and interaction were highlighted as limitations. Regardless of the university background, the undergraduates and lecturers were able to adjust to the online learning environment, which mainly reflected a positive perspective on the implementation of online learning. There were modest differences in the perceptions of dental undergraduates between private and public universities, while the perception of the lecturers did not show any difference.
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http://dx.doi.org/10.1155/2024/7389743 | DOI Listing |
BMC Med Educ
January 2025
Laboratorio de Inmunofarmacología, Instituto Nacional de Enfermedades Respiratorias, Calzada de Tlalpan 4502, Colonia Sección XVI, CP 14080, Mexico, México.
Background: The field of health sciences is constantly evolving, presenting significant challenges to student learning performance. Therefore, it is crucial to identify the factors influencing students' learning style preferences, as these relate to how they acquire, understand, interpret, organize, and process information from their courses. In this study, we evaluated whether there is a relationship between students' learning style preferences and their learning gains.
View Article and Find Full Text PDFACS Sens
January 2025
Department of Mechanical Engineering, University of British Columbia, 2054-6250 Applied Science Lane, Vancouver, British Columbia V6T 1Z4, Canada.
Natural gas (NG) is a promising alternative to diesel for sustainable transport, potentially reducing GHG and air quality emissions significantly. However, the GHG benefits hinge on managing methane slip, the unburned methane in the exhaust of NG engines, which carries a significant global warming potential. The CH slip from NG engines is highly dependent on engine type and operation, and effective greenhouse gas emission mitigation requires that the actual operation of real-world engines is monitored.
View Article and Find Full Text PDFSci Prog
January 2025
Department of Trauma and Orthopaedics, NHS Grampian, Aberdeen, UK.
Objective: In this feasibility study, firstly, we aimed to assess whether intramuscular pH (IMpH) could be measured with a glass-tipped electrode. Secondly, we aimed to explore whether we could monitor changes in skeletal muscle pH before and throughout static (isometric) and after dynamic (treadmill) exercise, comparing individuals with intermittent claudication (IC) to a group of healthy controls.
Methods: Forty participants with IC (mean age ± SD) 68 ± 8) and 40 healthy volunteers (63 ± 10) were recruited.
World Neurosurg
January 2025
Instituto da Criança do Hospital das Clínicas da Faculdade de Medicina da USP, HCFMUSP, São Paulo, 05403-000.
Bioinformatics
January 2025
School of Data Science and Society, University of North Carolina at Chapel Hill, NC 27599, United States.
Motivation: Forecasting the synergistic effects of drug combinations facilitates drug discovery and development, especially regarding cancer therapeutics. While numerous computational methods have emerged, most of them fall short in fully modeling the relationships among clinical entities including drugs, cell lines, and diseases, which hampers their ability to generalize to drug combinations involving unseen drugs. These relationships are complex and multidimensional, requiring sophisticated modeling to capture nuanced interplay that can significantly influence therapeutic efficacy.
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