Methodological Variation in Studying Staff and Student Perceptions of AI
arXiv:2602.11158v1 Announce Type: new Abstract: In this paper, we compare methodological approaches for comparing student and staff perceptions, and ask: how much do these measures vary across different approaches? We focus on the case of AI perceptions, which are generally assessed via a single quantitative or qualitative measure, or with a mixed methods approach that compares two distinct data sources – e.g. a quantitative questionnaire with qualitative comments. To compare different approaches, we collect two forms of qualitative […]