Results 241 to 250 of about 18,831 (324)

“I can do math!”: A self‐regulated learning intervention to enhance math‐related motivational factors and performance in middle school

British Journal of Educational Psychology, EarlyView.
Abstract Introduction Self‐regulated learning (SRL) interventions have been widely recognized for their potential to enhance students' academic achievement; however, their effects on math‐related motivational constructs remain less explored. This study investigated the impact of an SRL intervention on multiple math‐related motivational factors (math ...
Federica Granello, Alessandro Cuder, Eleonora Doz, Sandra Pellizzoni, Maria Chiara Passolunghi   +4 more
wiley   +1 more source

Arithmetic fundamental lemma for the spherical Hecke algebra. [PDF]

Manuscr Math
Li C, Rapoport M, Zhang W.
europepmc   +1 more source

Beyond performance: Emotions before and after semi‐high‐stakes mathematics testing among school‐aged students

British Journal of Educational Psychology, EarlyView.
Abstract Background Previous research has shown that testing differs significantly from other classroom activities and is associated with heightened negative emotions and lower levels of positive emotions. However, relatively little is known about students' emotions surrounding testing, particularly in higher‐stakes assessment settings. Aims This study
Reetta Kyynäräinen, Santeri Holopainen, Jari Metsämuuronen, Umar Bin Qushem, Mikko‐Jussi Laakso, Katarina Alanko   +5 more
wiley   +1 more source

Mathematics anxiety: Effects of age, gender and culture

British Journal of Educational Psychology, EarlyView.
Abstract Background Many studies have indicated that mathematics anxiety is a significant problem for many people and is an important topic for research. Mathematics anxiety is multidimensional. In particular, it is important to distinguish between worry and emotionality components, and between trait and state anxiety.
Ann Dowker
wiley   +1 more source

Expansion of stereotactic work envelope using transformation matrices and geometric algebra for neurosurgery. [PDF]

Biomed Eng Lett
Sharaf B, Lewis S, Choung D, Goyal A, Scheitler KM, Hong LS, Blaha CD, Hanna B, Chang K, Yuen J, Oh Y, Shin H, Grewal S, Chang JW, Miller K, Lee KH.   +15 more
europepmc   +1 more source

An extension of the basic local independence model to multiple observed classifications

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi, Debora de Chiusole, Egidio Robusto, Alice Bacherini, Giulia Balboni, Andrea Brancaccio, Ottavia M. Epifania, Noemi Mazzoni, Luca Stefanutti   +8 more
wiley   +1 more source

Sample size determination for hypothesis testing on the intraclass correlation coefficient in a two‐way analysis of variance model

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability evaluation is critical in fields such as psychology and medicine to ensure accurate diagnosis and effective treatment management. When participants are evaluated by the same raters, a two‐way ANOVA model is suitable to model the data, with the intraclass correlation coefficient (ICC) serving as the reliability metric.
Dipro Mondal, Alberto Cassese, Math J. J. M. Candel, Sophie Vanbelle   +3 more
wiley   +1 more source

Predicting NMR Relaxation Using a First-Principles Brownian Dynamics Approach. [PDF]

J Chem Theory Comput
Zerbetto M, Rampino S, Polimeno A.
europepmc   +1 more source

Difference Sets in Generalized Quaternion Groups (Algebraic Combinatorics)

, 1998
Mariko Hagita
openalex   +1 more source

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source