This course introduces graduate students to key concepts and practices of qualitative research (QR) in education; from data collection to data analysis. It will introduce the various ways of doing qualitative analysis with an emphasis on case studies. The course engages students in activities and readings that offer a holistic approach when discussing each of the main issues of QR: - the principles of QR, - when QR is utilized, - the limitation of QR, - Good QR practices. While discussing in class a wide range of data collection tools, the course will offer a preliminary training for interviews. The course will focus on the construction and application of coding schemes as used in inductive and deductive methods. It will conclude with an overview of data presentation and interpretation.

Temps présentiel : 24 heures

Charge de travail étudiant : 66 heures

Méthode(s) d'évaluation : Exposé oral, Projets

Référence :
- Berg, B. L. (2001). Qualitative research methods for the social sciences (4th ed.). Allyn and Bacon. - Charmaz, K. (2014). Constructing grounded theory (2nd ed.). Sage. - Cohen, L., Manion, L., & Morrison, K. (2017). Research methods in education (8th ed.). Routledge. - Cropley, A. (2015). Introduction to qualitative research methods. Hamburg, Germany. - Flick, U. (2018). An introduction to qualitative research (5th ed.). Sage. - Ritchie, J., Lewis, J., Nicholls, C. M., & Ormston, R. (2013). Qualitative research practice: A guide for social science students and researchers (2nd ed.). Sage. - Silverman, D. (2015). Interpreting qualitative data (5th ed.). Sage