This paper makes a case for conceptualising transitions from the before school sector to the compulsory years of schooling as continuity practices. It begins by presenting an overview and critique of constructions of transitions to school that contribute to contemporary discourses and agendas (e.g. the conflation of transitions and readiness).…

We examine the contributions of dynamic systems theory to the field of cognitive development, focusing on modeling using dynamic neural fields. After introducing central concepts of dynamic field theory (DFT), we probe empirical predictions and findings around two examples--the DFT of infant perseverative reaching that explains Piaget's A-not-B…

This article reviews a particular computational modeling approach to the study of psychological development--that of constructive neural networks. This approach is applied to a variety of developmental domains and issues, including Piagetian tasks, shift learning, language acquisition, number comparison, habituation of visual attention, concept…

This paper examines the hidden challenges experienced by individuals with special needs during the transition years between school and work. An assessment framework is proposed that covers domains of difficulties, developmental tasks during the transition years, the matrix of support within the home-community-institutions ecosystems, and the…

This article examines the place of forgiveness within the Positive Youth Development (PYD) paradigm. We suggest knowledge of forgiveness can be advanced by understanding it from a developmental perspective. We review research indicating that forgiveness can contribute to positive developmental outcomes during adolescence and we explore theoretical…

In his introduction to this special issue, Roger Millsap has given an excellent summary of its contents. This eases our task considerably. In what follows, we first present some general observations about growth curve modeling of longitudinal data. Among other things, we will address the criticism that the popular latent growth curve model may…

Subliminal motor priming effects in the masked prime paradigm can only be obtained when primes are part of the task set. In 2 experiments, the authors investigated whether the relevant task set feature needs to be explicitly instructed or could be extracted automatically in an incidental learning paradigm. Primes and targets were symmetrical…