The Educational Technology Lab at the Institute of Education of the University of Zurich is seeking a student research assistant to support the analysis of data from a study on students' conceptual understanding of art.
1. Analysing how participants' definitions of art change before and after their dialogue with the AI chatbot;
2. Coding learner–AI dialogues using a novel coding framework, for which training will be provided; and
3. 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 interpreta-tion remains necessary.
- Excellent command of English and German;
- The ability to interpret language and support conclusions with evidence from the text; and
- 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.
Advantageous but non-essential requirements:
- Familiarity with R, Python, SPSS, or similar tools;
- An interest in generative AI and learner–AI interaction; and
- An interest in art and in the question of what may-or may not-count as art
Please submit your application as one PDF file.