Student Research Assistant in Learner–AI Dialogue Analysis

Analysing how participants' definitions of art change before and after their dialogue with the AI chatbot; Coding learner–AI dialogues using a novel coding framework, for which training will be provided; and Identifying and interpreting relevant linguistic, communicative, and dialogic features in the dialogues. A computer program will be developed to automate parts of the analysis. An important part of your work will therefore be to verify the quality of the automated coding and help identify cases in which human interpretation remains necessary.

The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education.

• Excellent command of English and German

• The ability to interpret language and support conclusions with evidence from the text

• Previous experience with qualitative content analysis, dialogue analysis, discourse analysis, or linguistic coding-or a willingness to learn and gain experience in these methods

• Knowledge of additional Swiss national languages is an advantage

• Familiarity with R, Python, SPSS, or similar tools (advantageous but non-essential)

• An interest in generative AI and learner–AI interaction (advantageous but non-essential)

• An interest in art and in the question of what may-or may not-count as art (advantageous but non-essential)