Introduction: In today's world, which is progressively oriented towards science and technology and facing a growing demand for skilled professionals, it becomes essential to identify the factors that encourage individuals to pursue careers in STEM fields (Science, Technology, Engineering and Mathematics). Previous research has shown that affective-motivational factors, math performance and gender influence STEM occupational and academic choices in adulthood. However, few studies examined how these factors may influence STEM choices as early as middle school. This study aims to assess how math anxiety, math self-efficacy, math performance and gender influence STEM school choices during middle school.
Methods: We longitudinally assessed a group of 109 students (Year 6) over three school years, with measurements taken on three different occasions.
Results: Findings indicated that individuals who made an STEM school choice experienced lower math anxiety, higher self-efficacy and math performance and were predominantly male. Furthermore, the results indicated that both math anxiety in Year 7 and self-efficacy in Year 6 made the most substantial unique contributions to the STEM school choice.
Conclusion: Math anxiety and math self-efficacy seem to be both crucial in influencing middle school students' STEM choices, offering new perspectives for early interventions aimed at promoting more informed school choices.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/bjep.12707 | DOI Listing |
Nurse Educ Pract
January 2025
Burdur Mehmet Akif Ersoy University, Faculty of Health Sciences, Department of Pediatric Nursing, Burdur, Turkey.
Aim: This study aimed to examine the relationship between nursing students' math anxiety and their self-efficacy in pediatric medication administration.
Background: Medication errors in pediatric patients are often linked to the precision required in dose calculations, posing significant risks to patient safety. Math anxiety, characterized by fear and worry, can impair students' performance in mathematical tasks, potentially reducing self-efficacy in medication administration.
Psychiatry Res Neuroimaging
January 2025
Departamento de Morfologia e Genética, Escola Paulista de Medicina, Universidade Federal de São Paulo - UNIFESP, São Paulo, SP, Brazil. Electronic address:
Alcohol use disorder (AUD) is a multifactorial disease closely related to neurodevelopment and environmental factors that influence behavior. This study explored the relationships between brain volume and behavior from an Exploratory Structural Equation Modeling (ESEM) based on the Research Domain Criteria. High-resolution magnetic resonance imaging scans were acquired from recent patients with AUD (n = 50) and healthy controls (HC=50).
View Article and Find Full Text PDFCan J Exp Psychol
January 2025
Department of Psychology, McGill University.
Previous research on attitudes towards mathematics has mostly been assessed in a single language. We examined whether math attitudes differ by language in multilingual younger adults (ages 18-25). Furthermore, we evaluated the relationships between math attitudes, verbal memory, and calculation fluency in this sample.
View Article and Find Full Text PDFDigit Health
January 2025
Division of Rheumatology, Department of Medicine (DMED), ASUFC, University of Udine, Udine, Italy.
Background: Immersive Virtual Reality (VR) has been applied in pain management for various conditions, but its use in fibromyalgia (FM) remains underexplored. While physical activity plays a role in treating FM, patients' low tolerance often limits its effectiveness. After reviewing the literature on VR and games for FM, we designed a novel VR exergame to assist FM patients in performing physical activity, and evaluate its feasibility.
View Article and Find Full Text PDFBr J Math Stat Psychol
January 2025
Research Group of Quantitative Psychology and Individual Differences, Faculty of Psychology and Educational Sciences, Katholieke Universiteit, Leuven, Belgium.
In various areas of science, researchers try to gain insight into important processes by jointly analysing different datasets containing information regarding common aspects of these processes. For example, to explain individual differences in personality, researchers collect, for the same set of persons, data regarding behavioural signatures (i.e.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!