Results 141 to 150 of about 501 (254)
Three shades of self‐regulation with unique complex dynamics, drivers and targets for intervention
Abstract Self‐regulated learning (SRL) is an active process involving multiple interacting components that evolve over time, exhibiting characteristics of complex systems such as non‐linearity, emergent behaviour, self‐organization, and hierarchy. These interactions unfold at different temporal levels, each warranting a dedicated lens to capture their ...
Sonsoles López‐Pernas +2 more
wiley +1 more source
A Physical Framework for Algorithmic Entropy. [PDF]
Edmonds J.
europepmc +1 more source
A FORMAL LANGUAGE THEORETIC APPROACH TO DISTRIBUTED COMPUTING ON DYNAMIC NETWORKS [PDF]
In this paper, we present a formal language theoretic approach to the behavior of complex systems of cooperating and communicating agents performing distributed computation on dynamic networks.
KATALIN ANNA LÁZÁR
core
The effectiveness of implementation intentions in children: A systematic review and meta‐analysis
Abstract Self‐regulation abilities in childhood are important for long‐term academic achievement and healthy development. As self‐regulatory abilities are still developing, ‘simple’ interventions are needed to foster self‐regulation. Implementation intentions are simple plans that could promote goal achievement in children.
Jasmin Breitwieser, Tilman Reinelt
wiley +1 more source
The Representational Challenge of Integration and Interoperability in Transformed Health Ecosystems. [PDF]
Blobel B +5 more
europepmc +1 more source
When linguists talk mathematical logic. [PDF]
Lobina DJ.
europepmc +1 more source
Abstract Working memory updating is a crucial cognitive function for learning and academic achievement that develops significantly throughout childhood and adolescence. Despite the varieties of existing tasks to measure children's working memory updating, its overall developmental trajectory and task‐specific developmental patterns remain inadequately ...
Ye Song, Chen Cheng
wiley +1 more source
Calibrating Bayesian inference
Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu +2 more
wiley +1 more source

