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Welcome

Front page to the Jan 2010 Dissertation Group

Welcome to the Dissertation Group Jan 2010

     


 Ian's Cheers
Dr Ian Terrell

Robson's Real World Research Slides

Dissertations
One suggested structure and format


Another Structure and word length
  Welcome

This is the dissertation group Jan 2010 until Jan 2011  from both MA Education and MA Inclusive Education. In this space we will  connect you with interesting material to use in your dissertation and raise some controversial issues which you should cover in your dissertation.

It's your project and your answers that matter.

You should have:-
1. Read the module guide.
2. Submitted a Plan and Gantt.

3. Drafted  and sent for feedback your
> 1. Introduction and context (not the same as the plan)
> 2. Needs analysis
> 3. Professional autobiography
> 4. Literature Review
> 5. Outlined your Data Collection Tools and Justified them
> 6. Constructed your methodology section
> 7. Begun collecting data.


You should have checked your assignment chaptesr with your supervisor.

Groups, Group Leaders, Supervisors and Members (Provisional)
Revised List of Groups, Leaders, Supervisors and members
Downloadable complete list of students and supervisors

Timeline





Materials
Module Guide (Sept0910i)

Timeline

Plan
GANTT Chart
Design Features

"Harvard Referencing"
Methodology
Methods and Procedures

Self assessment and criteria


Updates


Conversations

Initial Ideas
Conversation 1- Introductions and Initial Ideas January 2010
Conversation 2- What project and why?

Plan and GANNT Chart

B. Writing the Introductory Section (By May?)
3 a. The Needs analysis(Introduction and Context)
3 b. The Professional Autobiography

4. Writing the Review of Literature (By May?)
The Review of Literature
4. Let us help each other with vital references.

C. Writing the Methodology and Procedures Section (By June) (Coming Soon)
Materials To Support You
5. Methods and Procedures: Send me your tool.
6. Methodology
Material to read and use on methodology

7. The Methodological Issues

8. The Analysis of Data


     
     
     
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