5,999 research outputs found
Interview with Chris Bateman
To understand the culture of digital play from a design perspective, Sonia Livingstone and Kate Cowan spoke to Chris Bateman, a game designer, author, and senior lecturer in Game Design, as part of our interview series on play in the digital world
Watch, listen and learn: Observing children’s social conduct through their communication
This paper argues for the use of conversation analysis (CA) and membership categorisation analysis (MCA) (Sacks, 1992) to investigate children’s social conduct. A majority of prior research in this area has tended to focus on limited theoretical perspectives situated in developmental psychology, resulting in a dichotomous presentation of either prosocial or antisocial behaviour (see Bateman & Church, 2008 for an overview). Although the use of predefined categories “antisocial” and “prosocial” may be helpful for the organisation of data, there is a concern that these pre-defined classifications lead to children themselves being categorised as either consistently prosocial or antisocial (for example Nelson & Crick, 1999). This view encourages stigma and the labeling of children rather than offering further insight into children’s social worlds (Bateman & Church, 2008). This problem represents a shortfall in information regarding the complexity of peer interactions and how they are locally managed by the children themselves, disregarding the range of social competencies engaged in by the participants.
Therefore a shift in theoretical approach is argued for here as this informs of how social order is produced through verbal and non-verbal communications between the participants themselves (Butler, Fitzgerald & Gardner, 2009; Sacks, 1992a; 1992b;). Analyzing children’s social conduct through observing their communication offers an innovative, theoretical shift which is becoming more valued in many different areas of early childhood and particularly for the study of social relationships in education. This paper will outline the concept of communication as perceived from an ethnomethodological (EM) perspective, provide a background to EM and conversation analysis (CA), discuss some findings from research and then discuss the practical application of these findings for practice
Bateman, A B (Arthur Bryan), VX48043
This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/370600Surname: BATEMAN
Given Name(s) or Initials: A B (ARTHUR BRYAN)
Military Service Number or Last Known Location: VX48043
Missing, Wounded and Prisoner of War Enquiry Card Index Number: 38705180860
Item: [2016.0049.02927] "Bateman, A B (Arthur Bryan), VX48043
Portrait of Miss Jessie Bateman [picture] /
Condition: Good, glued to card.; Inscriptions: "Miss Jessie Bateman, 213F, J. B. & Co., biograph" --Printed lower left to lower right.; Title from inscription on photograph
Ed W. Bateman
Photograph shows studio portrait of Ed W. Bateman, rancher, oilman, and printer.Photographer's imprint: ''Kerr / Ft Worth Tex'
Short biography of Mildred Mitchell Bateman, 1967, b&w.
Short biography of Mildred Mitchell Bateman, 1967, b&w. This was probably done for the MCP (Medical College of Penn.).https://mds.marshall.edu/mitchel_bateman_papers/1000/thumbnail.jp
Time trends in the prevalence of peanut allergy: three cohorts of children from the same geographical location in the UK.
Background: This article investigated the prevalence of peanut allergy in three cohorts of children born in the same geographical location, Isle of Wight, UK and seeks to determine whether the prevalence of peanut allergy has changed between 1994 and 2004. Methods: Three cohorts of children (age 3-4 years) born on the Isle of Wight, were assessed for peanut allergy and the outcomes compared: Cohort A: Born in 1989; reviewed at 4 years of age (n = 2181). Cohort B: Born between 1994 and 1996; reviewed between 3 and 4 years of age (n = 1273). Cohort C: Born between 2001 and 2002; reviewed at 3 years of age (n = 891). Results: Peanut sensitization increased significantly from 1.3% in Cohort A to 3.3% (P = 0.003) in Cohort B before falling back to 2.0% in Cohort C (P = 0.145). Similarly, clinical peanut allergy increased significantly from 0.5% in Cohort A to 1.4% (P = 0.023) in Cohort B, with a subsequent fall to 1.2% in Cohort C (P = 0.850). Conclusions: Our data from three cohorts of 3- to 4-year-old children born in the same geographical area shows that peanut allergy prevalence has changed over time. Peanut sensitization and reported allergy in children born in 1994-1996 increased from 1989 but seems to have stabilized or slightly decreased since the late 1990s, although not significant
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