Building knowledge with theory: Unpacking complexity in doctoral writing
- Authors: Wilmot, Kirsten
- Date: 2020
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/439480 , vital:73600 , https://www.ajol.info/index.php/cristal/article/view/203971
- Description: The use of theory to analyse and interpret empirical data is a valued practice in much social science doctoral research. A crucial aspect of this practice involves generating sophisticated theoretical understandings and critiques of phenomena in our social world. Despite the importance of theory, however, few concrete explanations of how to ‘theorise’exist in literature. This paper addresses this gap by demonstrating how a set of conceptual tools can be used to unpack what the craft of theorising looks like in explicit terms, and to reveal how this ability develops over time during the drafting process of dissertation writing. It does this by drawing on select texts from a successful doctoral dissertation, as well as an earlier draft version. In doing so, the paper provides an in-depth explanation of an essential process of doctoral research that is inherently known by many supervisors, yet seldom unpacked in explicit terms.
- Full Text:
- Date Issued: 2020
- Authors: Wilmot, Kirsten
- Date: 2020
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/439480 , vital:73600 , https://www.ajol.info/index.php/cristal/article/view/203971
- Description: The use of theory to analyse and interpret empirical data is a valued practice in much social science doctoral research. A crucial aspect of this practice involves generating sophisticated theoretical understandings and critiques of phenomena in our social world. Despite the importance of theory, however, few concrete explanations of how to ‘theorise’exist in literature. This paper addresses this gap by demonstrating how a set of conceptual tools can be used to unpack what the craft of theorising looks like in explicit terms, and to reveal how this ability develops over time during the drafting process of dissertation writing. It does this by drawing on select texts from a successful doctoral dissertation, as well as an earlier draft version. In doing so, the paper provides an in-depth explanation of an essential process of doctoral research that is inherently known by many supervisors, yet seldom unpacked in explicit terms.
- Full Text:
- Date Issued: 2020
Learning how to theorize in doctoral writing: A tool for teaching and learning
- Authors: Wilmot, Kirsten
- Date: 2020
- Subjects: To be catalogued
- Language: English
- Type: text , book chapter
- Identifier: http://hdl.handle.net/10962/445824 , vital:74435 , ISBN 9781003028215 , https://www.taylorfrancis.com/chapters/edit/10.4324/9781003028215-8/learning-theorize-doctoral-writing-kirstin-wilmot
- Description: Doctoral writing is an elusive research practice. Given their size, individuality and disciplinary complexity, analysing doctoral dissertations is a complex task – one that makes defining exact rules for students to follow difficult, if not impossible. In order to open up access to increasingly diverse students, there is a need to make this tacit writing practice explicit. To do so requires a more detailed understanding of what doctoral writing involves. This chapter illustrates an approach that can provide such an understanding. Drawing on the concept of ‘semantic gravity’ from Legitimation Code Theory (LCT), the chapter focuses on a student’s progression from ‘raw’ data description to fully realized theoretical discussions of data. The findings demonstrate how, through the drafting process, specific movements in writing – notably, from strongly contextualized to more abstract meanings – are developed over time. In showcasing these findings, the chapter reveals how LCT is able to make this aspect of doctoral writing explicit and demonstrable to students and supervisors.
- Full Text:
- Date Issued: 2020
- Authors: Wilmot, Kirsten
- Date: 2020
- Subjects: To be catalogued
- Language: English
- Type: text , book chapter
- Identifier: http://hdl.handle.net/10962/445824 , vital:74435 , ISBN 9781003028215 , https://www.taylorfrancis.com/chapters/edit/10.4324/9781003028215-8/learning-theorize-doctoral-writing-kirstin-wilmot
- Description: Doctoral writing is an elusive research practice. Given their size, individuality and disciplinary complexity, analysing doctoral dissertations is a complex task – one that makes defining exact rules for students to follow difficult, if not impossible. In order to open up access to increasingly diverse students, there is a need to make this tacit writing practice explicit. To do so requires a more detailed understanding of what doctoral writing involves. This chapter illustrates an approach that can provide such an understanding. Drawing on the concept of ‘semantic gravity’ from Legitimation Code Theory (LCT), the chapter focuses on a student’s progression from ‘raw’ data description to fully realized theoretical discussions of data. The findings demonstrate how, through the drafting process, specific movements in writing – notably, from strongly contextualized to more abstract meanings – are developed over time. In showcasing these findings, the chapter reveals how LCT is able to make this aspect of doctoral writing explicit and demonstrable to students and supervisors.
- Full Text:
- Date Issued: 2020
‘Nothing so practical as good theory’: Legitimation Code Theory in higher education
- Winberg, Christine, McKenna, Sioux, Wilmot, Kirsten
- Authors: Winberg, Christine , McKenna, Sioux , Wilmot, Kirsten
- Date: 2020
- Subjects: To be catalogued
- Language: English
- Type: text , book chapter
- Identifier: http://hdl.handle.net/10962/445850 , vital:74437 , ISBN 9781003028215 , https://www.taylorfrancis.com/chapters/edit/10.4324/9781003028215-1/nothing-practical-good-theory-christine-winberg-sioux-mckenna-kirstin-wilmot
- Description: Universities are grappling with multiple shifts that have made the processes of supporting student learning and enabling the professional development of academic staff ever more challenging. Common sense approaches abound but do little to address the complexities of the issues being faced in our institutions. This book brings together a rich collection of studies that uses a powerful common framework, Legitimation Code Theory, to attend to these concerns about higher education studies. The chapters provide specific real world examples of how this framework acts as conceptual lenses, analytical tools and as teaching resources to open conversations about how it is we come to know and what it is that is deemed worth knowing. In Part I ‘Student Learning across the Disciplinary Map’, the authors explore ways of understanding and supporting student achievement across different disciplinary contexts – from STEM disciplines and fields to the Arts and Humanities – and at different levels – from introductory higher education courses to doctoral-level studies. Part II, ‘Professional Learning in Higher Education’, takes an in-depth look at academic staff development in higher education. Each chapter in the book focuses on pertinent issues in higher education practice, from how to support an increasingly diverse student body, to how to support university teachers in contexts of rapid change and growth. This chapter provides an introduction to the conversation and offers an entry into the LCT tools used in this collection: Specialization, Semantics and Autonomy.
- Full Text:
- Date Issued: 2020
- Authors: Winberg, Christine , McKenna, Sioux , Wilmot, Kirsten
- Date: 2020
- Subjects: To be catalogued
- Language: English
- Type: text , book chapter
- Identifier: http://hdl.handle.net/10962/445850 , vital:74437 , ISBN 9781003028215 , https://www.taylorfrancis.com/chapters/edit/10.4324/9781003028215-1/nothing-practical-good-theory-christine-winberg-sioux-mckenna-kirstin-wilmot
- Description: Universities are grappling with multiple shifts that have made the processes of supporting student learning and enabling the professional development of academic staff ever more challenging. Common sense approaches abound but do little to address the complexities of the issues being faced in our institutions. This book brings together a rich collection of studies that uses a powerful common framework, Legitimation Code Theory, to attend to these concerns about higher education studies. The chapters provide specific real world examples of how this framework acts as conceptual lenses, analytical tools and as teaching resources to open conversations about how it is we come to know and what it is that is deemed worth knowing. In Part I ‘Student Learning across the Disciplinary Map’, the authors explore ways of understanding and supporting student achievement across different disciplinary contexts – from STEM disciplines and fields to the Arts and Humanities – and at different levels – from introductory higher education courses to doctoral-level studies. Part II, ‘Professional Learning in Higher Education’, takes an in-depth look at academic staff development in higher education. Each chapter in the book focuses on pertinent issues in higher education practice, from how to support an increasingly diverse student body, to how to support university teachers in contexts of rapid change and growth. This chapter provides an introduction to the conversation and offers an entry into the LCT tools used in this collection: Specialization, Semantics and Autonomy.
- Full Text:
- Date Issued: 2020
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