Objectives of Programme's Learning Outcomes

• Analyse an educational situation in reference to theories and methodological approaches resulting from developments in educational sciences.
• Master and appropriately mobilise knowledge, models, methods and techniques used in various fields of educational sciences in order to understand an educational situation.
• Communicate and exchange information in a structured and adapted way to the intended purpose and relevant public.
• Present and structure data in a clear, precise, neutral, and non-oriented way.
• Present (orally and in writing) a personal and adapted summary to the public concerned (to colleagues, non-specialists, sponsors or hierarchy), resulting from their own productions or not.
• Appropriately use presentation materials.
• Work effectively with different actors as part of a team or a network of professionals.
• Share knowledge and data to carry out a common project.
• Act ethically and professionally.
• Adopt professional attitudes (think critically, avoid prejudices, respect professional confidentiality, etc.).
• Assess and pursue professional and personal development.
• Monitor knowledge and methodological approaches in order to evolve their thinking and practice.
• Master scientific research methods in educational sciences.
• Master the different steps to carry out research in educational sciences.
• Construct a reference framework, formulate questions or hypotheses from the analysis of scientific literature.
• Adequately choose and implement research methods.
• Collect data and analyse it.
• Adequately interpret results taking into account the reference framework within which the research was developed.

Learning Outcomes of UE

At the end of this course, students will be able to: describe the methodological approaches relating to the field of textual analysis; identify, according to the research objectives pursued, the appropriate textual analysis tool; apply the tool to a corpus and interpret the results provided

UE Content: description and pedagogical relevance

In addition to the methodological elements, this course aims to develop the student's mastery of various textual analysis tools. Several families of software will be approached: automated software (such as Iramuteq), semi-automated software (such as Tropes) and analysis assistance software (such as QDAMiner).

Prior Experience

Research methodology