UV9112 – Interaction Analysis: Methodological Perspectives on Learning and Communication
Course description
Course content
Understanding how learning, identity and development are constituted in social interaction is an important field of research in the Educational sciences. In order to produce analytic accounts that are grounded in what participants do, there is a need to study the organization and meaning of human action in some detail. Interaction analysis provides particularly useful methodological tools for data-driven analysis, where the analyst is sensitive to the participants’ perspectives and concerns.
In practice this means that the researchers first analyze what happens moment by moment and then relate this to broader contextual issues surrounding the talk. The next step is to connect the analysis to theoretical concepts and previous research. A large body of video-based studies now exist that examine social interaction in education, in the home, at work, or in other settings. In this course examples of some of such studies will be introduced and discussed as an introduction to practical hands-on analysis of the participants' own empirical data.
- The course is designed for PhD candidates who are studying how educational issues and topics such as learning and development become visible and analyzable in social interaction. The data can be audio or video records of talk, embodied action or interviews.
- The course is oriented towards learning how to analyze interaction in detail, and interaction is treated as a mode of action and not simply as a manifestation of mental processes or social structures.
- A variety of different methodological approaches are introduced and discussed such as dialogism, conversation analysis and argumentation theory.
Admission
PhD candidates at the Faculty of Educational Sciences will be given priority, but it is also possible for others to apply for the course. Applicants must have at least a Master's degree.
Candidates admitted to the PhD programme at the Faculty of Educational Sciences should apply through Studentweb
Other applicants may apply using this application form
Teaching
The course will include lectures and hands-on analysis of interactional data. Depending on the number and types of contributions we receive, the course will be organized like a workshop with plenary sessions, plenary workshops, and group workshops.
Time: (TBA)
Place: (TBA)
Examination
1 credit point for course participation (80% attendance is required).
3 credit points for course participation with documentation.
To obtain 3 credit points participants must present excerpts of data which is transcribed and ready for analysis. It is productive but not required to present video/audio clips of the transcribed data. The transcripts will be presented and discussed during the course. There are two different ways to obtain 3 credit points:
- A 7-8 page essay delivered after the course. The essay could be an article or article draft that employs interaction analysis or it could be an essay discussing theoretical, methodological or practical issues related to interaction analysis.
- The second option is to produce 4-5 pages of analysis based on the data presented at the second meeting. This analysis should be handed in before the third meeting and will then be discussed during the final day of the course. The analysis should preferably also include theoretical and methodological issues, but this is not required. We recommend this option.
Papers are to be submitted electronically to Hans Christian Arnseth (h.c.arnseth@iped.uio.no) with a copy to Olga Mukhina (olga.mukhina@iped.uio.no).
Grading scale
Grades are awarded on a pass/fail scale. Read more about the grading system.