Background: Little research has examined interactions between self-reported dispositional and experimentally manipulated situational group orientations in their effect on self-regulation.
Aims: The aim of the study was to investigate the effect of dispositional and situational learning goal orientation on children's self-efficacy and engagement and persistence at a puzzle task.
Sample: A self-report learning goal orientation scale was completed by 110 children, aged 9-11 years. Fifty-three children (24 girls) selected to be high and low on the scale participated in the experiment.
Methods: Half of the children were given instructions designed to evoke learning goals, while the remainder received performance goal instructions. Children attempted a difficult puzzle task on two occasions, when measures were made of self-regulatory behaviours.
Results And Conclusions: Children assigned to the learning goal instruction were more likely to persist at the task until the end of the allotted time, displayed more on-task behaviour and engaged in more autonomous help-seeking. These effects were more pronounced following the first task, which all children had been unable to complete. Dispositional task orientation did not predict individual differences on these measures. The findings are interpreted in terms of learned helplessness and self-worth theory.
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http://dx.doi.org/10.1348/000709907X196264 | DOI Listing |
PLoS Biol
January 2025
Department of Neuroscience, University of Minnesota, Minneapolis, Minnesota, United States of America.
Worrying about perceived threats is a hallmark of multiple psychological disorders including anxiety. This concern about future events is particularly important when an individual is faced with an approach-avoidance conflict. Potential goals to approach are known to be represented in the dorsal hippocampus during theta cycles.
View Article and Find Full Text PDFPLoS One
January 2025
Department of College English Teaching, Qufu Normal University, Qufu, Shandong, China.
Previous research has shown a connection between communication anxiety and willingness to communicate (WTC) among English as a foreign/second language (L2) learners. Nonetheless, the potential mediating roles of learners' beliefs like growth language mindset and language learning motivation have not been thoroughly investigated, particularly in the context of middle school language learners. This study aimed to explore the relationship between communication anxiety and L2 WTC by considering the mediating roles of growth language mindset and language learning motivation.
View Article and Find Full Text PDFJ Am Coll Surg
January 2025
Department of Surgery, Stanford University, Stanford, CA.
Background: Motion-tracking has been shown to correlate with expert and novice performance but has not been used for skill development. For skill development, performance goals must be defined. We hypothesize that using wearable sensor technology, motion tracking outcomes can be identified in those deemed practice-ready and used as benchmarks for precision learning.
View Article and Find Full Text PDFAnn Fam Med
January 2025
Departments of Psychiatry and Emergency Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Purpose: Mental health screening is recommended by the US Preventive Services Task Force for all patients in areas where treatment options are available. Still, it is estimated that only 4% of primary care patients are screened for depression. The goal of this study was to evaluate the efficacy of machine learning technology (Kintsugi Voice, v1, Kintsugi Mindful Wellness, Inc) to detect and analyze voice biomarkers consistent with moderate to severe depression, potentially allowing for greater compliance with this critical primary care public health need.
View Article and Find Full Text PDFEnviron Health Prev Med
January 2025
Department of Disease Control and Prevention, The Seventh Medical Center of Chinese PLA General Hospital.
Background: Hypertension is a serious chronic disease that can significantly lead to various cardiovascular diseases, affecting vital organs such as the heart, brain, and kidneys. Our goal is to predict the risk of new onset hypertension using machine learning algorithms and identify the characteristics of patients with new onset hypertension.
Methods: We analyzed data from the 2011 China Health and Nutrition Survey cohort of individuals who were not hypertensive at baseline and had follow-up results available for prediction by 2015.
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