Recherche de terrain, collecte de données et analyse qualitative

Teacher(s)

Ansoms An;

Language

French

Content

The course covers:

• the design of a qualitative research project: research problem, research questions, and literature review
• participant selection: sampling and selection strategies
• interviewing methods and interaction with participants
• group interviews
• ethnography: observation, fieldnotes, description, and reflexivity
• group processes and participatory research methods
• methodological, practical, and ethical challenges of fieldwork
• transcription, organization, and coding of qualitative data
• analysis and interpretation of qualitative data.

Teaching methods

The course combines in-person lectures, practical sessions, online activities on Moodle, and individual work. The different components are closely interconnected: students progressively develop their research project while putting different qualitative research methods into practice.
During the semester, students complete a range of preparatory exercises related to their research project, conduct two qualitative interviews, and carry out an ethnographic assignment. Participation in all activities scheduled as part of the course is compulsory. This includes lectures, practical sessions, online activities and modules, as well as assignments to be completed during the semester. Attendance will be recorded during lectures and practical sessions. Students are therefore expected to follow the course schedule carefully and meet the deadlines indicated on Moodle.

Evaluation methods

The course is assessed out of 20 points and consists of three components:

Examination

Multiple-choice examination: 10 points – A multiple-choice examination covers all the material addressed in the lectures, practical sessions, and compulsory online activities.

Research project: 5 points

Throughout the semester, students progressively develop a qualitative research project. The project must, among other things, present and justify the research problem and research questions, its positioning within the relevant literature, participant selection, the proposed data collection and analysis methods, as well as the main methodological and ethical issues raised by the project.

Ethnographic project: 5 points

During the semester, students carry out an ethnographic exercise related to their research project. Based on observation and fieldnotes, they write a five-page paper in which they present their approach, draw on their ethnographic material, and develop a methodological and reflexive discussion of the experience.

Participation and assessment requirements

All components of the course are compulsory. In order to successfully complete the course, students must participate in lectures and practical sessions, complete the compulsory online activities, carry out the assignments required during the semester, and submit both assignments that form part of the assessment.
Attendance will be recorded during the various course activities. Students are expected to participate in at least 80% of the activities. If absences exceed 20% of the activities, they must be justified by medical certificates or other formal supporting documents, which should be submitted together with the final assignment. It is therefore not necessary to submit supporting documents as absences occur during the semester.

Use of artificial intelligence

The use of generative artificial intelligence tools (ChatGPT or others) is permitted as a support tool within the course, for example to improve the wording of a text, structure ideas, or explore possible avenues for reflection. However, such tools may not substitute for the student’s own intellectual and methodological work.
Students remain fully responsible for the content of the work they submit. They must be able to explain and justify the methodological choices, analyses, and arguments presented in their work. The use of AI does not in any way exempt students from reading the required texts, attending lectures, completing Moodle activities, or mastering the material taught in the course.
For the ethnographic assignment, particular attention will be paid to ensuring that observations, descriptions, and reflections are grounded in the student’s own experience and in material actually produced by the student. AI may not be used to invent or generate observations, fieldnotes, interviews, or other empirical data.
Bibliographic research must be carried out by the students themselves and may not be delegated to an AI tool. Students are responsible for identifying and selecting the sources they use. Always verify that each reference actually exists, that the bibliographic information is correct, and that the cited source has actually been consulted.
Any use of AI in submitted assignments must be transparently disclosed, with a brief explanation of the purposes for which it was used.

Plagiarism and academic integrity

All submitted work must be the student’s own. Any idea, wording, data, or analysis taken from another source must be clearly identified and properly referenced. Reproducing passages without appropriate citation, including passages that have been slightly rephrased, constitutes plagiarism.
The use of AI does not alter this responsibility: students remain fully responsible for any content submitted under their name. Assignments may be subject to the University’s procedures for detecting and addressing plagiarism and breaches of academic integrity.
Each assignment will be reviewed individually and with the assistance of Compilatio, a tool used to identify plagiarism and the use of AI. If the score reported by the tool is 25% or higher, the student will be invited to meet with the teaching assistant to explain how they produced the work. Any supporting evidence will be welcome, including records of interactions with AI tools. If, following this meeting, excessive use of AI is established, or if plagiarism is identified, the assignment will lose at least half of the points initially awarded, depending on the seriousness of the case.
It should be noted that excessive use of AI may be considered an irregularity, in the same way as plagiarism, as defined in the General Regulations for Studies and Examinations. It may therefore be reported to the examination board and may result in the consequences set out in those regulations.

Faculty or entity

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