Students and educators sometimes hold beliefs about intelligence and learning that lack scientific support, often called neuromyths. Neuromyths can be problematic, so it is important to find methods to correct them. Previous findings demonstrate that textual refutations are effective for correcting neuromyths. However, even after correction, erroneous information may continue to influence reasoning. In three experiments, we investigated whether feedback could be used to update students' and educators' beliefs and influence their reasoning about neuromyths. Across all experiments, the results showed that both students and educators held erroneous beliefs about learning and memory that could be updated after receiving feedback. Feedback also increased students', but not teachers', reasoning accuracy. The results demonstrate that feedback can be used to update beliefs in neuromyths, but these beliefs may influence reasoning even after correction.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11508907 | PMC |
http://dx.doi.org/10.3390/jintelligence12100098 | DOI Listing |
PLoS One
January 2025
Faculty of Computer and Information Technology, Sana'a University, Sana'a, Yemen.
This research explores the determinants affecting academic researchers' acceptance of AI writing tools using the Theory of Reasoned Action (TRA). The impact of attitudes, subjective norms, and perceived barriers on researchers' intentions to adopt these technologies is examined through a cross-sectional survey of 150 researchers. Structural Equation Modeling (SEM) is employed to evaluate the measurement and structural models.
View Article and Find Full Text PDFBackground: Magnetic resonance elastography (MRE) is an MRI technique that uses mild, externally applied vibrations to quantify the mechanical properties of tissues in vivo. MRE measures, such as stiffness, have been shown to be sensitive to changes in brain health with aging and neurodegeneration. Here we used MRE to characterize differences in brain mechanical properties between individuals with amnestic mild cognitive impairment (aMCI) and cognitively unimpaired subjects (CU).
View Article and Find Full Text PDFDiagnosis (Berl)
January 2025
Scientific and Osteopathic Research Department, Institut de Formation en Ostéopathie du Grand Avignon IFO-GA, Avignon, France.
Objectives: Although cognitive biases are one of the most frequent causes of diagnostic errors, their influence remains underestimated in allied health professions, especially in osteopathy. Yet, a part of osteopathic clinical reasoning and diagnosis rely on the practitioner's intuition and subjective haptic perceptions. The aim of this study is to highlight links between the cognitive biases perceived by the practitioner to understand cognitive patterns during osteopathic diagnosis, and to suggest debiasing strategies.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Delaware, Newark, DE, USA.
Background: Magnetic resonance elastography (MRE) is an MRI technique that uses mild, externally applied vibrations to quantify the mechanical properties of tissues in vivo. MRE measures, such as stiffness, have been shown to be sensitive to changes in brain health with aging and neurodegeneration. Here we used MRE to characterize differences in brain mechanical properties between individuals with amnestic mild cognitive impairment (aMCI) and cognitively unimpaired subjects (CU).
View Article and Find Full Text PDFFront Nutr
December 2024
Department of Physical Education, Xiangtan University, Xiangtan, China.
Background: Weight and body shape concerns have become increasingly common among adolescents. Chinese university students show a high risk of eating disorder behaviors. This study aims to analyze the moderating effect of BMI on the relationships between body shape, attitudes, subjective norms, and eating disorder behavioral intentions among Chinese female university students using the Theory of Reasoned Action (TRA) model.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!