At the University of Maine, middle and high school science, technology, engineering, and mathematics (STEM) teachers observed 51 STEM courses across 13 different departments and collected information on the active-engagement nature of instruction. The results of these observations show that faculty members teaching STEM courses cannot simply be classified into two groups, traditional lecturers or instructors who teach in a highly interactive manner, but instead exhibit a continuum of instructional behaviors between these two classifications. In addition, the observation data reveal that student behavior differs greatly in classes with varied levels of lecture. Although faculty members who teach large-enrollment courses are more likely to lecture, we also identified instructors of several large courses using interactive teaching methods. Observed faculty members were also asked to complete a survey about how often they use specific teaching practices, and we find that faculty members are generally self-aware of their own practices. Taken together, these findings provide comprehensive information about the range of STEM teaching practices at a campus-wide level and how such information can be used to design targeted professional development for faculty.
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http://dx.doi.org/10.1187/cbe.14-06-0108 | DOI Listing |
BMC Pregnancy Childbirth
January 2025
Centre for Maternal and Child Health Research, City St George's, University of London, Myddelton Street Building, 1 Myddelton Street, London, EC1R 1UB, United Kingdom.
Background: In the United Kingdom, induction of labour rates are rapidly rising, and around a third of pregnant women undergo the procedure. The first stage, cervical ripening, traditionally carried out in hospital, is increasingly offered outpatient - or 'at home'. The current induction of labour rates place considerable demand on maternity services and impact women's experiences of care, and at home cervical ripening has been suggested as potential solution for alleviating these.
View Article and Find Full Text PDFNat Cancer
January 2025
Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany.
Despite advances in precision oncology, clinical decision-making still relies on limited variables and expert knowledge. To address this limitation, we combined multimodal real-world data and explainable artificial intelligence (xAI) to introduce AI-derived (AID) markers for clinical decision support. We used xAI to decode the outcome of 15,726 patients across 38 solid cancer entities based on 350 markers, including clinical records, image-derived body compositions, and mutational tumor profiles.
View Article and Find Full Text PDFNat Med
January 2025
Department of Neurology & Neurological Sciences, Stanford Movement Disorders Center, Stanford University, Stanford, CA, USA.
Cerebral accumulation of alpha-synuclein (αSyn) aggregates is the hallmark event in a group of neurodegenerative diseases-collectively called synucleinopathies-which include Parkinson's disease, dementia with Lewy bodies and multiple system atrophy. Currently, these are diagnosed by their clinical symptoms and definitively confirmed postmortem by the presence of αSyn deposits in the brain. Here, we summarize the drawbacks of the current clinical definition of synucleinopathies and outline the rationale for moving toward an earlier, biology-anchored definition of these disorders, with or without the presence of clinical symptoms.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Leadership and Educational management, Faculty of Psychology and Educational Sciences, Shahid Beheshti University, Tehran, Iran.
Universities are the cornerstone of social development and progress; however, it is essential to enhance the academic environment to support this mission. The objective of this research is to identify the Requirements for Academic Space Development (RASD) in universities. The present study was conducted in 2022-2023 using a mixed-method with a qualitative-quantitative sequence.
View Article and Find Full Text PDFSignal Transduct Target Ther
January 2025
Department of Medicine 2, RWTH Aachen University, Medical Faculty, Aachen, Germany.
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