Correction: A neural network model of mathematics anxiety: The role of attention. [PDF]
PLOS One Staff.
europepmc +1 more source
Economic inequality and academic perseverance: Evidence from 73 countries
Abstract Background Academic perseverance is important for educational success, yet research has focused mainly on individual and proximal environmental factors, with limited attention to broader socioeconomic contexts. Aims This study examined whether national economic inequality was associated with students' academic perseverance and whether this ...
Yifan Wang, Yanru Liu, Dennis Alonzo
wiley +1 more source
Research on mathematics anxiety in primary school: bibliometric analysis and evaluation of trends. [PDF]
Uğraş H.
europepmc +1 more source
The Correlation between Mathematics Anxiety, Numerical Ability and Drug Calculation Ability of Paramedic Students: An Explanatory Mixed Method Study. [PDF]
Khasawneh E, Gosling C, Williams B.
europepmc +1 more source
Abstract Background Reciprocal emotional transmissions between teachers and students have recently gained more research interest. Teacher–student relationship (TSR) quality is proposed to play an important role, but this transmission pathway lacks empirical evidence.
André Seidel +3 more
wiley +1 more source
Longitudinal Performance in Basic Numerical Skills Mediates the Relationship Between Socio-Economic Status and Mathematics Anxiety: Evidence From Chile. [PDF]
Guzmán B, Rodríguez C, Ferreira RA.
europepmc +1 more source
Abstract Background Poor reading ability is associated with increased risk of internalizing symptoms (e.g., anxiety); however, social factors, including supportive relationships at school, may buffer against internalizing psychopathology or promote mental wellbeing in adolescents with poor reading.
Alana Jones +4 more
wiley +1 more source
Mathematics Anxiety and Undergraduate Nursing Students: A Mixed Methods Study. [PDF]
Austerberry J +6 more
europepmc +1 more source
Abstract To ensure learning efficiency in game‐based learning (GBL), learners must regulate cognitive, affective, metacognitive and motivational (CAMM) processes, collectively known as self‐regulated learning (SRL). SRL is dynamic and non‐linear, characterized by regulatory patterns and CAMM interactions that lead to macro‐level SRL behaviours. In this
Elizabeth B. Cloude +6 more
wiley +1 more source
Factors predicting the mathematics anxiety of adolescents: a structural equation modeling approach. [PDF]
Ahmmed S +4 more
europepmc +1 more source

