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Computer-based wargames provide an experimental platform for studying cognitive antecedents and behavioral outcomes in dynamic scenarios. Our study examines how achievement motivation influence wargame players' performance through the mechanism of creativity. In Study 1, we simplified the achievement motivation scale and revised the creativity scale for wargame contexts in China. After collecting data from students and wargame players (N1 = 300, N2 = 347), we validate their reliability and validity using exploratory and confirmatory factor analyses. Study 2 (N3 = 171) applied these validated scales to analyze the mechanism of creativity between achievement motivation and wargame performance. The results in Study 1 demonstrated that the refined two scales exhibited strong reliability and structural validity. The findings of Study 2 revealed that two types of motivation had different influences on wargame performance. The motivation of hope of success indirectly enhanced wargame performance through increased creativity. In contrast, the motivation of fear of failure reduced creativity and then negatively influenced overall results. Our study advances understanding of achievement motivation in dynamic gaming environments, suggesting that enhancing motivation of hope of success, decreasing motivation of fear of failure, and improving creativity may optimize performance to be more effective.
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http://dx.doi.org/10.3390/bs15040557 | DOI Listing |
JAMA Netw Open
September 2025
Department of Population Health Sciences, University of Utah School of Medicine, Salt Lake City.
Importance: Advances in diagnostics have enabled the detection of more gastrointestinal pathogens, but misuse of diagnostics can lead to inappropriate antibiotic use and excess financial burdens. Ensuring appropriate use of diagnostics is crucial for optimizing patient care and promoting stewardship of health care resources.
Objective: To elicit parents' and clinicians' perspectives on expectations for care of pediatric diarrhea with a focus on diagnostic testing and to evaluate the potential for an electronic clinical decision support tool (ECDST) to improve appropriate use of diagnostics.
J Behav Med
September 2025
Department of Psychology, University of Wisconsin-La Crosse, La Crosse, WI, USA.
Latent profile analysis (LPA) is in the finite mixture model analysis family and identifies subgroups by participants' responses to continuous variables (i.e., indicators); participants' probable membership in each subgroup is based on the similarity between the subgroup's prototypical responses and the person's unique responses.
View Article and Find Full Text PDFAlcohol Clin Exp Res (Hoboken)
September 2025
Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Background: This study examined motivational pathways between internalizing symptoms (i.e., depression, anxiety, stress) and simultaneous alcohol and cannabis use among young adults.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
September 2025
Knowledge distillation (KD) aims to transfer knowledge from a large-scale teacher model to a lightweight one, significantly reducing computational and storage requirements. However, the inherent learning capacity gap between the teacher and student often hinders the sufficient transfer of knowledge, motivating numerous studies to address this challenge. Inspired by the progressive approximation principle in the Stone-Weierstrass theorem, we propose expandable residual approximation (ERA), a novel KD method that decomposes the approximation of residual knowledge into multiple steps, reducing the difficulty of mimicking the teacher's representation through a divide-and-conquer approach.
View Article and Find Full Text PDFFront Psychol
August 2025
School of Mathematical Sciences, East China Normal University, Shanghai, China.
Introduction: This study explored the relationship between cultural values, goal orientation, and mathematics achievement in mainland China.
Methods: Structural equation modelling was used to analyze data collected from 1,004 first-year students of four majors in higher vocational colleges. This study adopted a four-dimensional goal orientation, including achievement (i.