Programme of Study

 

The programme of study is individually based, to be arranged jointly by the supervisor and the student and approved by the FED Graduate School Committee.

 

For Intakes in Academic Year 2013/2014

University-wide Courses

Course Code

Course Title

Credit(s)

GRSC801

Research Ethics

1

GRSC802

Research Writing        

1

Total Credits

2

 

Disciplinary Courses

Course Code

Course Title

Credits

EDUC800

Research Methods for Evidence-Based Research

3

EDUC801

Qualitative Research Methods        

3

EDUC802

Applications of Advanced Quantitative Methods

3

Total Credits

9

 

Doctoral Thesis

Course Code

Course Title

Credits

EDUC899

Doctoral Thesis

18

 

For Intakes in and after Academic Year 2014/2015

University-wide Courses

Course Code

Course Title

Credit(s)

GRSC801

Research Ethics

1

GRSC802

Research Writing

1

GRSC803

University Teaching I

1

GRSC804

University Teaching II     

1

Total Credits

4

 

Disciplinary Courses

Course Code

Course Title

Credits

EDUC800

Research Methods for Evidence-Based Research

3

EDUC801

Qualitative Research Methods        

3

EDUC802

Applications of Advanced Quantitative Methods

3

Total Credits

9

 

Doctoral Thesis

Course Code

Course Title

Credits

EDUC899

Doctoral Thesis

18

 

For Intakes in and after Academic Year 2016/2017

For students admitted with a relevant Master’s degree

Course Code

Course Title

Credit(s)

EDUC803

Research Ethics

0

EDUC804

Research Writing

3

EDUC805

Introduction to Educational Research

1

EDUC806

Introducing Qualitative Research  

1

EDUC807

Introducing Quantitative Research

1

EDUC802

Applications of Advanced Quantitative Methods

3

EDUC801

Qualitative Research Methods

3

 

Total Credits

12

 

For students admitted without a relevant Master’s degree

In addition to the above, students are required to take the following courses:

Course Code

Course Title

Credits

EDUC701

Research Methods in Education

3

 

3 Master-level courses in FED that are related to student’s specialized research area

9

Total Credits

12

 

Doctoral Thesis

Course Code

Course Title

Credits

EDUC899

Doctoral Thesis

18

 

Course Description

EDUC800      RESEARCH METHODS FOR EVIDENCE-BASED RESEARCH
This course provides the foundations for conducting evidence-based research in education and other social and behavioral sciences (e.g., psychology, sociology, political science). The course is designed to cover three major areas: (1) educational measurement; (2) research design, and (3) data analysis. Under "educational measurement", topics such as measurement validity, measurement reliability, and practical measurement approaches will be covered. Under "research design", topics such as scientific inquiry, causal inference, experimental design, quasi-experimental design, and non-experimental design, sampling approaches and issues, will be discussed. Under "analysis", some common quantitative methods will be covered, such as analysis of variance, simple and multiple regression analysis, analysis for categorical variables, and general linear model (GLM), effect size and statistical inferences, etc. It is expected that students will have the foundations (measurement, design, and analysis) for conducting evidence-based research in education and other social and behavioral sciences. Background in mathematics or statistics is a plus, but not required.
Prerequisite(s): At least one course in educational research or data analysis, or equivalent; or based on instructor's consent.

 

EDUC801      QUALITATIVE RESEARCH METHODS
This course is designed to introduce graduate students to qualitative research, including the epistemological underpinnings of different approaches to qualitative research, the social theoretical paradigms informing different approaches, ethical considerations and issues of reflexivity/positionality/legitimacy, and the methodological nuts-and-bolts in conducting qualitative inquiry. Class readings will be of three types: epistemological/theoretical issues of research paradigms, ‘how-to’ pieces that stress techniques and ethical conducts, and empirical examples. We will approach qualitative methods used by researchers in several disciplines (primarily anthropology, sociology, and education). Students are expected to work on their ongoing pilot projects throughout the semester, prepare to discuss the process of each stage in class, demonstrate grasp of epistemological, ontological, ethical, and methodological issues and debates gleaned from course readings and be ready to critique them, and complete the final write-up of their pilot project as the final product of the class.

Prerequisite(s): None

 

EDUC802      APPLICATIONS OF ADVANCED QUANTITATIVE METHODS
This course provides coverage of some widely-used advanced quantitative methods in education and other social and behavioral sciences (e.g., psychology, sociology, political science, etc.). Application of these advanced quantitative methods in evidence-based research is often important for the quality of the research products, and is often expected by internationally competitive journals. The major topics covered in this course are: multiple regression analysis (review), hierarchical linear modeling (HLM), exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling. Both conceptual understanding of these topics and analytical implementation of these techniques in practice will be emphasized. This course will provide the analytical foundation for doctoral students in using these more advanced analytical approaches in evidence-based empirical research.
Prerequisite(s): Research Methods for Evidence-Based Research, or equivalent; or based on instructor's consent.