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According to the modern expectancy-value theory, students' task values may differ across domains, manifesting as varying motivational patterns. In middle school, students' motivation becomes increasingly apparent and may direct their future occupational aspirations. Using a person-oriented approach, this study examines students' self-concept, and positive and negative task values (i.e., utility value, intrinsic value, and emotional cost) across Finnish language, math, biology, and physics, and the stability of the identified profiles. Further, the associations of the profiles with students' subsequent academic achievement and math and natural science, technology, engineering, and mathematics (STEM)/health science STEM aspirations, and gendered effects were examined. Longitudinal data was collected through Grades 7 to 9 in 21 middle schools in Helsinki, Finland ( = 1,309, = 1,179, = 818, respectively; age 13-15 years; 55.9% female). Latent profile analysis (LPA) identified four task value profiles in Grades 7 and 8: (13%/13%) showed low task values with high cost, especially in math and physics; (7%/8%) showed the highest task values with the lowest cost, especially in math and physics; (18%/17%) showed high task values and cost across domains; and (62%/62%) showed moderate task values and cost across domains. The latent transition analysis identified as the most stable profile across 2 years. In comparison to the other profiles, students with a profile were less likely to have STEM aspirations in Grade 9. These results suggests that majority of middle school students are highly to moderately motivated in various domains, however, some students simultaneously experience high cost. It may reflect the increasingly difficult courses and study demands in middle school.
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http://dx.doi.org/10.3389/fpsyg.2022.951309 | DOI Listing |
Adv Health Sci Educ Theory Pract
September 2025
Division of Human Sciences, NOSM University, Thunder Bay, ON, Canada.
Innovative qualitative approaches are essential for exploring how health professions education (HPE) can address complex, value-laden constructs such as social accountability. Visual elicitation techniques, including rich picture interviews (RPIs), offer distinctive opportunities to surface layered, affective, and contextually embedded understandings. This methodological study examines participant perspectives on the use of RPIs within a broader qualitative interpretive description on social accountability.
View Article and Find Full Text PDFPhys Eng Sci Med
September 2025
Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, 16424, Indonesia.
This study introduces a novel optimization framework for cranial three-dimensional rotational angiography (3DRA), combining the development of a brain equivalent in-house phantom with Figure of Merit (FOM) a quantitative evaluation method. The technical contribution involves the development of an in-house phantom constructed using iodine-infused epoxy and lycal resins, validated against clinical Hounsfield Units (HU). A customized head phantom was developed to simulate brain tissue and cranial vasculature for 3DRA optimization.
View Article and Find Full Text PDFStroke
September 2025
Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China (H.Z., K.H., Q.G.).
Background: Poststroke cognitive impairment (PSCI) affects 30% to 50% of stroke survivors, severely impacting functional outcomes and quality of life. This study uses functional near-infrared spectroscopy (fNIRS) to assess task-evoked brain activation and its potential for stratifying the severity in patients with PSCI.
Method: A cross-sectional study was conducted at Nanchong Central Hospital between June 2023 and April 2024.
MethodsX
December 2025
Department of Earth and Environmental Science, University of Waterloo, Waterloo, ON, Canada.
Human factors are central to aviation safety, with pilot cognitive states such as workload, stress, and situation awareness playing important roles in flight performance and safety. Although flight simulators are widely used for training and scientific research, they often lack the ecological validity needed to replicate pilot cognitive states from real flights. To address these limitations, a new in-flight data collection methodology for general aviation using a Cessna 172 aircraft, which is one of the most widely used aircraft for pilot training, is presented.
View Article and Find Full Text PDFMed Eng Phys
October 2025
University of Missouri, Department of Physical Therapy, Columbia, MO, USA. Electronic address:
Measurable neuromotor control deficits during functional task performance could provide objective criteria to aid in concussion diagnosis. However, many tools which measure these constructs are unidimensional and not clinically feasible. The purpose of this study was to assess the classification accuracy of a machine learning model using features measured by a clinically feasible movement-based assessment system (Mizzou Point-of-care Assessment System (MPASS) between athletes with and without concussion.
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