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https://hdl.handle.net/1959.11/27642
Title: | Viewer Engagement in Children's Animated Television Shows: A Systemic Functional Perspective | Contributor(s): | Watson, Lindall Ann (author); Unsworth, Leonard (supervisor); Chan, Eveline (supervisor) | Conferred Date: | 2019-02-11 | Copyright Date: | 2018-07-18 | Open Access: | Yes | Handle Link: | https://hdl.handle.net/1959.11/27642 | Abstract: | The overall aim of this thesis is to investigate what makes children's animated television shows (CATS) so apparently engaging, and what kinds of values are being promoted by the phenomenally popular characters in these shows. The investigation is pursued from a semiotic perspective of engagement and value positions - theoretically and methodologically necessitating a bringing together of recent systemic functional linguistic (SFL) research into linguistic resources for conveying attitude, and systemic functional semiotic (SFS) research on the resources of images for constructing viewer/image interaction. By examining the interplay between the two semiotics, image and verbiage, in the way they afford interpersonal meaning in animated texts, this research aims to give insights into how CATS contribute to the cultural participation of young children (0-6 years) within a digital consumer context. | Publication Type: | Thesis Doctoral | Fields of Research (FoR) 2008: | 200401 Applied Linguistics and Educational Linguistics 130299 Curriculum and Pedagogy not elsewhere classified |
Fields of Research (FoR) 2020: | 390104 English and literacy curriculum and pedagogy (excl. LOTE, ESL and TESOL) 470401 Applied linguistics and educational linguistics 390302 Early childhood education |
Socio-Economic Objective (SEO) 2008: | 930399 Curriculum not elsewhere classified | Socio-Economic Objective (SEO) 2020: | 160304 Teaching and instruction technologies 160101 Early childhood education |
HERDC Category Description: | T2 Thesis - Doctorate by Research |
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Appears in Collections: | School of Education Thesis Doctoral |
Files in This Item:
File | Description | Size | Format | |
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openpublished/ThesisWatsonLindallPhD2019.pdf | Thesis | 27.44 MB | Adobe PDF Download Adobe | View/Open |
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