Background: This article describes the outcomes of a longitudinal, multilevel observational study in which the relationship between the processes of co-operation and giving explanations was compared between classes trained in communication skills and classes that were untrained.
Aims: This study examined the effects of training in basic communication skills on the processes of co-operation and giving explanation in co-operative groups. In particular, the study investigated: (a) How the processes of co-operation and giving explanations develop over time; (b) How the underlying processes of co-operation and giving explanations are related; (c) Which factors at the student and class level facilitate or hinder these processes.
Sample: The study involved 192, Year 6 primary school children (mean age = 134.3 months) who worked in four-person, mixed ability, gender-balanced groups on a social studies unit of work for 12 weeks.
Results: The students in the trained classes were more co-operative and gave more explanations to each other than their peers in the untrained classes. Giving solicited explanations could be traced back to co-operation and this process was enhanced by ability. In other words, the higher the individual ability levels of the students, the more co-operation was transformed into giving solicited explanations. Furthermore, over and above the effects of student ability, the higher the class' ability level, the more explanations the students gave.
Conclusion: The results of this study are useful in explaining why high-ability students benefit more from co-operative learning than low-ability students and why solicited explanations are more effective than unsolicited explanations. By opening the black box of co-operative learning, our analysis enables us to attribute the effects of co-operative learning to peer interactions with more able peers and this is promoted by class ability level. These factors have been mentioned in the literature as a possible explanation of 'contextual effects' but not investigated empirically.
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http://dx.doi.org/10.1348/000709901158703 | DOI Listing |
Introduction: Autism is a lifelong minority neurotype present from birth. There is a dearth of credible evidence to suggest gender variation in Autism prevalence, despite historical under-diagnosis of women. Autistic people Assigned Female At Birth (AFAB) have worse physical and mental health compared with non-Autistic peers.
View Article and Find Full Text PDFHealth Informatics J
November 2024
Department of Regional Health Research, University of Southern Denmark, Odense, Denmark.
Curr Opin Immunol
December 2024
Molecular and Systems Physiology Lab, The Salk Institute for Biological Studies, 10010 N. Torrey Pines Road, La Jolla, CA 92037, USA; Gene Expression Lab, The Salk Institute for Biological Studies, 10010 N. Torrey Pines Road, La Jolla, CA 92037, USA; NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute for Biological Studies, La Jolla, CA, USA; Howard Hughes Medical Institute, The Salk Institute for Biological Studies, 10010 N. Torrey Pines Road, La Jolla, CA 92037, USA. Electronic address:
J Tissue Viability
November 2024
Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, LS2 9JT, UK. Electronic address:
Aim: To develop a Theory of Change (ToC) pathway to facilitate the development of a multi-component intervention package supporting pressure Ulcer (PU) risk identification and management, in partnership with people with Long Term Neurological Conditions (LTNC) who self-manage care and live at home, their informal carers and PAs.
Methods: A participatory approach, with extensive input from those whose lives are the focus of the research, was used throughout the 4 interlinked work packages (WP): Iterative data analysis was undertaken with emerging findings from each WP informing subsequent stages of the study.
Findings: Overall, 74 participants contributed across the 4 WPs, incorporating 31 Service Users (SU), 8 carers, 9 Personal Assistants (PAs) and 26 professional stakeholders.
Comput Biol Med
October 2024
Department of Mechanical and Mechatronic Engineering, Stellenbosch University, Stellenbosch, South Africa. Electronic address:
Background: Healthcare faces challenges due to the advancements of Industry 4.0 as large volumes of data are generated within healthcare facilities that, combined with the complex nature of healthcare environments, make it difficult to utilise and interpret this data effectively.
Purpose: A novel holonic approach to clinical pathway data analysis is presented and implemented as a clinical pathway digital twin.
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