Search
On-Site Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Search Tips
Annual Meeting Housing and Travel
Sign In
Research on high-performing schools has been increasing for years. However, using this data for effective school improvement requires a merge of preconditions, known as schools' capacity for change. For schools that lack this capacity, it is unlikely to self-generate the implementation and transfer strategies to benefit from this data.
In our study, we address this disparity by analyzing improvement difficulties in schools with variable profiles. First, we cluster schools based on multi-methods quantitative data for determining their effectiveness and improvement capacity. We found that the two clusters with average outcomes embrace the majority and differ by teachers satisfaction. Building on that, we conducted qualitative interviews in schools of each cluster, aiming to understand the particular improvement efforts and contextual interdependence.
Lisa Maria Schaefer, University of Zurich
Andrea Wullschleger, University of Applied Sciences and Arts Northwestern Switzerland
Katharina Maag Merki, University of Zurich
Claudia Marusic, University of Zurich
Beat Rechsteiner, University of Zurich
Ariane Rickenbacher, University of Zurich
Miriam Compagnoni, University of Zurich