Problem-based learning (PBL) is now incorporated into the curricula of most medical schools around the world. In comparison to the traditional curriculum, less is known about the influence of the adoption and implementation of a problem-based curriculum on the perceived structures, processes, and outcomes of learning experiences reported by students. The purpose of this study was twofold: (1) to compare the quality of learning experience of students enrolled in traditional discipline-based and problem-based medical curricula and (2) to explore the mediation effect of the process quality between the relationship of the structural quality and students' perception of learning experience outcomes. Through the distribution of an electronic survey, all 3rd and 4th year medical students enrolled in the discipline-based curriculum and the problem-based curriculum were invited to participate in the study. The students from both curricula completed the Student Experience Survey (SES), which was developed by the National Center for Academic Accreditation and Evaluation. Descriptive statistics, independent sample -test and Hayes Macro regression analysis were used. Students enrolled in the problem-based curriculum had higher perceived support and sufficient advice with higher perceived quality of learning experiences compared with students enrolled in the traditional curriculum, however they reported less enjoyment of their university life. The structural factors (t = 19.83, ≤ 0.001) and process factors (t = 9.21, ≤ 0.001) were associated with an increase in students' reported outcomes by 0.67 and 0.49, respectively. These findings explain the mechanism by which the structural factors, such as maintaining adequate facilities and support, may help in enhancing the process quality (e.g., learner-centered learning), which in turn can enhance learning experience outcomes.
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http://dx.doi.org/10.3390/healthcare10081584 | DOI Listing |
Nurs Educ Perspect
October 2024
About the Authors Judith Bacchus Cornelius, PhD, RN, FAAN, ANEF, is a professor, College of Health and Human Services, University of North Carolina at Charlotte, Charlotte, North Carolina. Charlene Downing, PhD, RN, is a professor, Department of Nursing, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa. Adesola A. Ogunfowokan, PhD, RN, FWACN, is a professor, Community Health Nursing, College of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria. Nompumelelo Ntshingila, DCur(UJ), is an associate professor, Department of Nursing, Faculty of Health Sciences, University of Johannesburg. Florence Okoro, PhD, RN, is an associate professor, College of Health and Human Services, University of North Carolina at Charlotte. Ijeoma Enweana, DNP, RN, CVN, is adjunct nursing faculty, Presbyterian School of Nursing, Queens University of Charlotte, Charlotte, North Carolina. Oluwayemisi Olagunju, PhD, is senior lecturer, Department of Nursing Science, Obafemi Awolowo University. Funding was received from the University of North Carolina at Charlotte Global Learning and Internationalization Institute. For more information, contact Dr. Cornelius at
The COVID-19 pandemic presented opportunities for educational innovations and the development of intercultural learning experiences. A global health assignment guided by a collaborative online international learning pedagogy was assigned to doctoral nursing students from three different countries. Icebreaker activities, along with the Culturally You diagram, commenced the team-building process.
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December 2024
Department of Medical Ultrasound, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, No. 16766, Jingshi Road, Jinan, 250014, Shandong, People's Republic of China.
This study aimed to explore a deep learning radiomics (DLR) model based on grayscale ultrasound images to assist radiologists in distinguishing between benign breast lesions (BBL) and malignant breast lesions (MBL). A total of 382 patients with breast lesions were included, comprising 183 benign lesions and 199 malignant lesions that were collected and confirmed through clinical pathology or biopsy. The enrolled patients were randomly allocated into two groups: a training cohort and an independent test cohort, maintaining a ratio of 7:3.
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December 2024
Neuroscience & Neuroengineering Research Lab, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science & Technology (IUST), Narmak, Tehran, Iran.
Currently, pain assessment using electroencephalogram signals and machine learning methods in clinical studies is of great importance, especially for those who cannot express their pain. Since newborns are among the high-risk group and always experience pain at the beginning of birth, in this research, the severity of newborns has been investigated and evaluated. Other studies related to the annoyance of newborns have used the EEG signal of newborns alone; therefore, in this study, the intensity of newborn pain was measured using the electroencephalogram signal of 107 infants who were stimulated by the heel lance in three levels: no pain, low pain and moderate pain were recorded as a single trial and evaluated.
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December 2024
Department of Pharmacoepidemiology, Graduate School of Medicine and PublicHealth, Kyoto University, Kyoto, Japan.
Although conservative treatment is commonly used for osteoporotic vertebral fracture (OVF), some patients experience functional disability following OVF. This study aimed to develop prediction models for new-onset functional impairment following admission for OVF using machine learning approaches and compare their performance. Our study consisted of patients aged 65 years or older admitted for OVF using a large hospital-based database between April 2014 and December 2021.
View Article and Find Full Text PDFBMJ Open
December 2024
School of Health & Wellbeing, University of Glasgow, Glasgow, UK.
Introduction: Fear of recurrence is a transdiagnostic problem experienced by people with psychosis, which is associated with anxiety, depression and risk of future relapse events. Despite this, there is a lack of available psychological interventions for fear of recurrence, and psychological therapies for schizophrenia are often poorly implemented in general. However, low-intensity psychological therapy is available for people who experience fear of recurrence in the context of cancer, which means there is an opportunity to learn what has worked in a well-implemented psychological therapy to see if any learning can be adapted for schizophrenia care.
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