There is a growing body of research showing the crucial role that students' versus have in their school achievement, enjoyment, and resilience. The overwhelming majority of this research adopts a variable-oriented approach. As a result, little is known about how teachers and students coregulate each other's mindsets within classroom interactions. This manuscript addresses the need for more person-oriented research that examines how teachers and students mindsets in naturalistic settings, i.e., their mindsetrelated verbalizations. In this manuscript, we provide a coding scheme to study the moment-to-moment dynamics of mindset-related verbalizations of both teachers and students within Science, Technology, Engineering, and Mathematics (STEM) contexts: The STEAM (Student-TEAcherMindset) coding scheme. We demonstrate the utility of the coding system through content and ecological validity, inter-rater reliability, and a case study of STEAM-generated time-series data. We show how these data can be used to chart moment-to-moment dynamics that occur between teacher and student. The coding scheme provides teachers and researchers with a practical tool for analyzing how person-specific mindset-related language can wax and wane in the context of peer and teacher interactions within STEM lessons.
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http://dx.doi.org/10.17505/jpor.2020.22404 | DOI Listing |
BMC Pregnancy Childbirth
January 2025
Department of Rural Health, College of Health, Medicine and Wellbeing, University of Newcastle, Tamworth, NSW, Australia.
Background: Women and people diagnosed with diabetes in pregnancy, are recommended to have frequent monitoring and careful management for optimal pregnancy outcomes. This health care management should be supported by a multidisciplinary healthcare team. For individuals living in rural areas, there are increased barriers to healthcare access, with subsequent worse health outcomes compared to those in metropolitan regions.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.
Neuromorphic engineering has emerged as a promising avenue for developing brain-inspired computational systems. However, conventional electronic AI-based processors often encounter challenges related to processing speed and thermal dissipation. As an alternative, optical implementations of such processors have been proposed, capitalizing on the intrinsic information-processing capabilities of light.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Instituto de Telecomunicações, University of Aveiro, 3810-193 Aveiro, Portugal.
As the demand for high-speed, low-latency communication continues to grow, free-space optical (FSO) communication has gained prominence as a promising solution for supporting the next generation of wireless networks, especially in the context of the 5G and beyond era. It offers high-speed, low-latency data transmission over long distances without the need for a physical infrastructure. However, the deployment of FSO systems faces significant challenges, such as atmospheric turbulence, weather-induced signal degradation, and alignment issues, all of which can impair performance.
View Article and Find Full Text PDFEntropy (Basel)
December 2024
Guangzhou Institute of Industrial Intelligence, Guangzhou 511458, China.
This paper proposes a novel polar coding scheme tailored for indoor visible light communication (VLC) systems. Simulation results demonstrate a significant reduction in bit error rate (BER) compared to uncoded transmission, with a coding gain of at least 5 dB. Furthermore, the reliable communication area of the VLC system is substantially extended.
View Article and Find Full Text PDFNat Neurosci
January 2025
Department of Neuroscience, University of California, Berkeley, Berkeley, CA, USA.
What is good in one scenario may be bad in another. Despite the ubiquity of such contextual reasoning in everyday choice, how the brain flexibly uses different valuation schemes across contexts remains unknown. We addressed this question by monitoring neural activity from the hippocampus (HPC) and orbitofrontal cortex (OFC) of two monkeys performing a state-dependent choice task.
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