National calls for improving science education (e.g., ) emphasize the need to learn disciplinary core ideas through scientific practices. To address this need, we engaged small groups of students in developing diagrammatic models within two (one large-enrollment and one medium-enrollment) undergraduate introductory biology courses. During these activities, students developed scientific models of biological phenomena such as enhanced growth in genetically modified fish. To investigate whether undergraduate students productively engaged in scientific practices during these modeling activities, we recorded groups of students as they developed models and examined three characteristics: how students 1) interacted with one another, 2) made sense of phenomena, and 3) justified their ideas. Our analysis indicates that students spent most of the time on task, developing and evaluating their models. Moreover, they worked cooperatively to make sense of core ideas and justified their ideas to one another throughout the activities. These results demonstrate that, when provided with the opportunity to develop models during class, students in large-enrollment lecture courses can productively engage in scientific practices. We discuss potential reasons for these outcomes and suggest areas of future research to continue advancing knowledge regarding engaging students in scientific practices in large-enrollment lecture courses.
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http://dx.doi.org/10.1187/cbe.17-01-0023 | DOI Listing |
Br J Nurs
January 2025
Director, Practice Innovation, Standards and Measurement, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Background: Irrespective of where nurses work, they may provide care to individuals with substance use disorders. Unfortunately, some nurses may not understand how to work with these individuals and stigmatisation may occur.
Aim: To explore how to provide effective care for these individuals.
Curr Pain Headache Rep
January 2025
Universidad de Alcalá, School of Medicine and Health Sciences, Department of Surgery, Medical and Social Sciences, Area of Human Anatomy and Embryology, Universidad de Alcalá, University Campus - C/ 19 Av de Madrid Km 33 600, 28871, Alcalá de Henares, Madrid, Spain.
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View Article and Find Full Text PDFPharmacoecon Open
January 2025
Department of Health Policy and Medical Technology Research Group, LSE Health, London School of Economics and Political Science, London, UK.
Disparities in access to oncology medicines in European Union (EU) member states can impact patient outcomes profoundly, with availability and timely access varying significantly across and within member states. This paper discusses the intersection of the new European Health Technology Assessment Regulation (HTAR), the provisions of the proposed pharmaceutical legislation and their potential impacts on access to oncology medicines across EU member states. The HTAR, seeking to standardise the clinical evaluation of new medicines, has the potential to streamline the evaluation process but also risks oversimplifying diverse national healthcare needs.
View Article and Find Full Text PDFUpdates Surg
January 2025
Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
Clinical risk prediction models are ubiquitous in many surgical domains. The traditional approach to develop these models involves the use of regression analysis. Machine learning algorithms are gaining in popularity as an alternative approach for prediction and classification problems.
View Article and Find Full Text PDFNaunyn Schmiedebergs Arch Pharmacol
January 2025
Department of Organ Transplantation, The Second Affiliated Hospital of Nanchang University, Minde Road No. 1, Nanchang, 330006, Jiangxi, China.
Multimorbidity, therapeutic complexity, and polypharmacy, which greatly increases the risk of drug-drug interactions (DDIs) and adverse medical outcomes, have become important and growing challenges in clinical practice. Statins are frequently prescribed to manage post-transplant dyslipidemia and reduce overall cardiovascular risk in solid organ transplant recipients. This study aimed to determine whether rosuvastatin has significant DDIs with tacrolimus (the first-line immunosuppressant) and to evaluate the risk of hepatotoxicity associated with concomitant therapy.
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