DISCOURSE ANALYSIS: SPOKEN AND WRITTEN LANGUAGE IN USE
Not currently offered
Credit points: 30
In this subject students learn about how both spoken and written language is used in a variety of contexts: for example, the classroom, media and other professional and social situations. Participants develop awareness of the properties of a range of discourse types and how they are constructed to achieve a particular purpose. The application of discourse analysis to communication, teaching and research is also considered. The subject is suitable for all postgraduate students who are interested in knowing how language at the discourse level works. This subject has a substantive amount of theoretical content.
SchoolSchool of Education
Subject Co-ordinatorDonna Starks
Available to Study Abroad StudentsYes
Subject year levelYear Level 5 - Masters
|Resource Type||Title||Resource Requirement||Author and Year||Publisher|
|Readings||An Introduction to Discourse Analysis: Theory and Method||Recommended||Gee,J (2014)4th Ed||ROUTLEDGE|
Graduate capabilities & intended learning outcomes
01. The ability to understand, reflect on and critically evaluate key concepts in discourse analysis
- Compare and contrast different views of discourse and debate key issues in the field
02. Understand and evaluate the nature and properties of spoken and written discourse and to apply that knowledge to a dataset
- Consider the nature of language and how it is transformed through social activity and interaction.
03. Show an in-depth understanding of standard conventions within conversational analysis
- Learn about different types of transcription, how they are used and why. Students make informed decisions and apply them to a set of data.
04. Critically evaluate and compare theoretical approaches to discourse analysi
- Students become experts about a researcher of their choice. Throughout the subject, students play an active role in informing others about this researcher, their perspective on discourse, their research interests, methodological slant and ways of analyzing data.
05. Work in teams to co-construct knowledge
- Students actively work together in groups and learn from one another. They negotiate and build intersecting knowledge bases and learn to question their own and others' perspectives.
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