Intimate Partner Violence (IPV) and Neurological Outcomes: A Review for Practitioners

ABSTRACT

Thirty-eight million women will experience intimate partner violence (IPV) during the course of their lifetime. Many of these women will experience brain injuries as a result of IPV and may not seek medical attention. Several types of practitioners who work with IPV survivors consistently, e.g., first responders, advocates, and clinicians, may be unfamiliar with brain functioning, screening, assessment, and treatment. This article reviews the dual traumas of IPV and TBI, the impact on neurological processes and symptomatology, and short and long-term outcomes. Recommendations for screening, intervention, interprofessional collaboration, and research are outlined.     

Symbolically speaking: a connectionist model of sentence production

The ability to combine words into novel sentences has been used to argue that humans have symbolic language production abilities. Critiques of connectionist models of language often center on the inability of these models to generalize symbolically (Fodor & Pylyshyn, 1988; Marcus, 1998). To address these issues, a connectionist model of sentence production was developed. The model had variables (role‐concept bindings) that were inspired by spatial representations (Landau & Jackendoff, 1993). In order to take advantage of these variables, a novel dual‐pathway architecture with event semantics is proposed and shown to be better at symbolic generalization than several variants. This architecture has one pathway for mapping message content to words and a separate pathway that enforces sequencing constraints. Analysis of the model's hidden units demonstrated that the model learned different types of information in each pathway, and that the model's compositional behavior arose from the combination of these two pathways. The model's ability to balance symbolic and statistical behavior in syntax acquisition and to model aphasic double dissociations provided independent support for the dual‐pathway architecture.     

Conceptual influences on induction: A case for a late onset

This research examines the mechanism of early induction, the development of induction, and the ways attentional and conceptual factors contribute to induction across development. Different theoretical views offer different answers to these questions. Six experiments with 4- and 5-year-olds, 7-year-olds and adults (N = 208) test these competing theories by teaching categories for which category membership and perceptual similarity are in conflict, and varying orthogonally conceptual and attentional factors that may potentially affect inductive inference. The results suggest that early induction is similarity-based; conceptual information plays a negligible role in early induction, but its role increases gradually, with the 7-year-olds being a transitional group. And finally, there is substantial contribution of attention to the development of induction: only adults, but not children, could perform category-based induction without attentional support. Therefore, category-based induction exhibits protracted development, with attentional factors contributing early in development and conceptual factors contributing later in development. These results are discussed in relation to existing theories of development of inductive inference and broader theoretical views on cognitive development.     

From task characteristics to learning: A systematic review

Wielenga‐Meijer, E. G. A., Taris, T. W., Kompier, M. A. J. & Wigboldus, D. H. J. (2010). From task characteristics to learning: A systematic review. Scandinavian Journal of Psychology, 51, 363–375. Although many theoretical approaches propose that job characteristics affect employee learning, the question is why and how job characteristics influence learning. The present study reviews the evidence on the relationships among learning antecedents (i.e., job characteristics: demands, variety, autonomy and feedback), learning processes (including motivational, meta‐cognitive, cognitive and behavioral processes) and learning consequences. Building on an integrative heuristic model, we quantitatively reviewed 85 studies published between 1969 and 2005. Our analyses revealed strong evidence for a positive relation between job demands and autonomy on the one hand and motivational and meta‐cognitive learning processes on the other. Furthermore, these learning processes were positively related to learning consequences.     

Evolutionary Learning Ecosystems for Thrivable Futures: Crafting and Curating the Conditions for Future-Fit Education

Abstract

This paper explores the shifting dynamics in our Learning Landscapes as pressure for deep systemic change mounts. Concepts of future-fit learning and future-creative competencies are introduced as part of a new narrative for new educational paradigms. A Protopia of Evolutionary Learning Ecosystems (ELEs) is proposed. The emergence of ELEs is more likely to curate and foster a thrivability world during those times of growing pressures. Six integral levels of wellbeing for thrivability are postulated, and the role of education to integrate them in the development of future-fit competencies is considered. These competencies are further explored through five evolutionary archetypes.