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Note: This is the 2018–2019 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Note: This is the 2018–2019 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Students must satisfy all program requirements of the Ph.D.
A thesis for the doctoral degree must constitute original scholarship and must be a distinct contribution to knowledge. It must show familiarity with previous work in the field and must demonstrate ability to plan and carry out research, organize results, and defend the approach and conclusions in a scholarly manner. The research presented must meet current standards of the discipline; as well, the thesis must clearly demonstrate how the research advances knowledge in the field. Finally, the thesis must be written in compliance with norms for academic and scholarly expression and for publication in the public domain.
Curriculum and Instruction : Students will be exposed to a wide range of educational theory and research as faculty members present the theoretical underpinnings, methodologies, and applications of their various programs of research.
Terms: Fall 2018
Instructors: Jordan, Steve (Fall)
Fall
Restriction: Limited to Doctoral students.
Curriculum and Instruction : Comprehensive examination.
Terms: Fall 2018, Winter 2019, Summer 2019
Instructors: Starke-Meyerring, Doreen; Mitchell, Claudia A; Nichols, Naomi; Starr, Lisa (Fall) Carter, Mindy; Low, Bronwen; Howard, Philip S; Starr, Lisa; Butler Kisber, Lynn (Winter) Mitchell, Claudia A; Ballinger, Susan Gail; Low, Bronwen; Shariff, Shaheen; Sarkar, Mekhala; White, Boyd Eric (Summer)
Fall, Winter
Curriculum and Instruction : First-year doctoral students will be exposed to more advanced level of educational theory and research to experience the multidisciplinary nature of educational inquiry.
Terms: Winter 2019
Instructors: Jordan, Steve (Winter)
Winter
Restriction: Limited to Doctoral students
Curriculum and Instruction : Second-year doctoral students will have formal and informal opportunities to present their work for critical discussion and dialogue. Students will also discuss fundamental issues and questions in the field of education.
Terms: Fall 2018
Instructors: McDonough, Kevin Michael (Fall)
Fall
Restriction: Not open to students who have taken EDEC 704.
Note: EDEC 701 is normally taken at the end of the second year for Ph.D. 2 program entrants and at the end of the third year for Ph.D. 1 entrants.
One of the following courses:
Curriculum and Instruction : Examination of research methods that are supported by multiple research perspectives.
Terms: This course is not scheduled for the 2018-2019 academic year.
Instructors: There are no professors associated with this course for the 2018-2019 academic year.
Restriction: Limited to Doctoral students
Curriculum and Instruction : Survey a range of research strategies including philosophical, theoretical, historical, narrative, and autobiographical methods of textual analysis.
Terms: Winter 2019
Instructors: Mitchell, Claudia A (Winter)
Fall
Restriction: Limited to Doctoral students
Curriculum and Instruction : Focus on issues of voice, reflectivity, and representation when using interpretive frameworks in qualitative research.
Terms: This course is not scheduled for the 2018-2019 academic year.
Instructors: There are no professors associated with this course for the 2018-2019 academic year.
Restriction: Not open to students who have taken EDEM 679
Admin & Policy Studies in Ed : Theoretical and practical exploration of the foundations of qualitative methods, with emphasis on underlying principles.
Terms: Winter 2019
Instructors: Butler Kisber, Lynn (Winter)
Education in Second Languages : An examination of theoretical and applied issues in qualitative and ethnographic studies in second language education.
Terms: Winter 2019
Instructors: Nichols, Naomi (Winter)
Winter
3-12 credits
Elective courses required in the student's Ph.D. plan of study will be determined in consultation with the Doctoral Advisory Committee depending on the student's background and research interests. Students must take a minimum of 3 credits of elective courses.
Students admitted to Ph.D. 2 will normally take up to 12 credits of elective courses under the advice of their Doctoral Advisory Committee.
Students admitted to Ph.D. 1 without an M.A. may be advised by their Doctoral Advisory Committee to take more than 12 credits of elective courses depending on their background. If admitted to the program without at least 6 credits of M.A.-level research methods and/or Statistics courses, candidates may be expected to take such courses during their first year of study as advised.
These may be selected from current offerings of research methods courses either within or outside the Department, such as:
Admin & Policy Studies in Ed : Overview of the epistemological foundations of a range of research methods, including but not limited to quantitative, philosophical, qualitative, arts-based, and mixed methods. Students will learn techniques to conduct research and to develop a research proposal.
Terms: Fall 2018, Winter 2019
Instructors: Nichols, Naomi (Fall) Asghar, Anila (Winter)
Fall, Winter
**Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Add/drop is the second lecture day and withdrawal is the fourth lecture day.
Admin & Policy Studies in Ed : Theoretical and practical exploration of the foundations of qualitative methods, with emphasis on underlying principles.
Terms: Winter 2019
Instructors: Butler Kisber, Lynn (Winter)
Education in Second Languages : An examination of theoretical and applied issues in qualitative and ethnographic studies in second language education.
Terms: Winter 2019
Instructors: Nichols, Naomi (Winter)
Winter
Students required by their Doctoral Advisory Committee to take graduate courses in statistics will select from a range of courses, such as the following:
Ed Psych & Couns (Psychology) : Understanding and interpreting basic statistical procedures used in basic and applied research, including graphs, measures of central tendency and variability, hypothesis testing, and correlations, t-tests, and basic ANOVA designs.
Terms: Winter 2019
Instructors: Bruzzese, Sam; Tullo, Domenico (Winter)
Ed Psych & Couns (Psychology) : Analysis of variance, fixed, random and mixed effects, crossed and nested designs; regression models. Computer data processing using existing packages.
Terms: Fall 2018
Instructors: Muis, Krista (Fall)
Ed Psych & Couns (Psychology) : General linear model as a unified data analytic system for estimation and hypothesis testing that subsumes regression, analysis of variance, and analysis of covariance for single dependent variables. Introduction to generalizations involving multiple dependent (criterion) variables. Applications oriented toward education, educational psychology and counselling psychology. Experience with data-analysis tools.
Terms: Winter 2019
Instructors: Konishi, Chiaki (Winter)
Prerequisite: EDPE 676