Teacher(s)
Language
French
Content
This course unit aims to deepen students’ knowledge of qualitative research.
More specifically, it focuses on one particular qualitative approach: the case study.
More specifically, it focuses on one particular qualitative approach: the case study.
- Distinctive features of the case study compared with other qualitative approaches
- Research design: single or multiple cases, holistic or embedded designs
- Delimitation, definition, and selection of the case(s)
- Data collection methods: use of multiple sources of evidence
- Data analysis: principles of triangulation, saturation, and data reduction in within-case and cross-case analysis
- The researcher’s role, ethical issues, and quality criteria
- Case study reporting and generalization of findings
Teaching methods
This course is delivered in the form of a seminar, characterized by:
Classes are held over either a half-day or a full day. Between sessions, assigned readings are required to enable active participation in class activities. Attendance is mandatory, given the highly interactive and targeted nature of the learning activities. Any absence must be compensated by additional coursework to be completed for each missed session.
- A participatory pedagogical approach;
- A reflective and iterative approach: learning research is viewed as an evolving and reflective process that develops throughout the course and continues beyond it;
- Students are recognized as active agents in their own learning journey: they initiate discussions, share additional readings, propose alternative pedagogical structures or methods, and provide constructive feedback that can enhance both their own development and the group’s collective learning. Each student is invited to engage in a variety of carefully designed learning activities aimed at deepening understanding of key concepts and strengthening mastery of the subject matter. While face-to-face sessions form the foundation of the course, the expected level of involvement extends beyond these meetings and requires sustained, active engagement throughout the learning process;
- As part of this course unit, students will be required to collect and analyse data in order to demonstrate achievement of the intended learning outcomes.
Classes are held over either a half-day or a full day. Between sessions, assigned readings are required to enable active participation in class activities. Attendance is mandatory, given the highly interactive and targeted nature of the learning activities. Any absence must be compensated by additional coursework to be completed for each missed session.
Evaluation methods
- Summative assessment consists of two components: (1) the development of a portfolio showcasing the knowledge and skills acquired in accordance with the stated learning objectives; and (2) an individual written examination. The final grade is based on the combined results of these two components. Passing each component is required to demonstrate achievement of the competencies and knowledge specified in the course learning outcomes. The course can only be passed if both assessment components are successfully completed.
- The details of the summative assessment are communicated via Moodle and presented by the teaching team during the first class session.
- Students’ progress is assessed formatively through in-class exercises, preparation of assignments, and methodological reflections.
- Assessment arrangements are identical for the first and second examination sessions.
- The use of AI is discouraged: The use of generative Artificial Intelligence (AI) tools is permitted only for revising or improving the form and style of written texts, and not for contributing to their substantive content. Furthermore, the use of generative AI tools is not recommended given the nature of the coursework, which is strongly rooted in each student’s professional and personal experience. Students are reminded that all sources of information, including AI-generated content, must be cited systematically in accordance with established bibliographic referencing standards. Students remain fully responsible for the content of their work, regardless of the sources used. To enable verification of compliance with these requirements, students must retain records of any interactions they have had with content-generation tools until final results have been officially released. Timestamped transcripts must be archived so that the teaching team can conduct any necessary checks. Students are reminded that the use of generative AI tools in ways that exceed what is authorized may result in the initiation of the academic misconduct procedure provided for under Articles 107 and following of the General Regulations on Studies and Assessments, and may lead to academic sanctions. Submitted work may also be subject to an oral defense.
Other information
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This course is given in an “English-friendly” format. For details, please see below.
The course is given in French, but a set of English slides is available for international students:
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Online resources
Some bibliographic references and other course materials (such as slides, texts, and exercises), as well as up-to-date practical information about the course, are available on Moodle. Students may also use Moodle to ask questions or post comments of collective interest.
Regular consultation of the Moodle site is essential. It contains all the information and instructions necessary regarding participation in class sessions, teaching and learning arrangements, and assessment procedures.
Regular consultation of the Moodle site is essential. It contains all the information and instructions necessary regarding participation in class sessions, teaching and learning arrangements, and assessment procedures.
Bibliography
- Une liste de lectures obligatoires sera disponible sur Moodle.
Faculty or entity
