For our school, data relates to quantitative and qualitative information that can be used to analyse and be a basis for future planning.  This data clearly needs to relate to learning so that it can be used to improve Great Learning.


We believe that data should be collected from multiple points and carefully analysed to ensure future progress. At Danube, we collect various data ranging from standardised testing to informal classroom observation. Data can also be used to inform all stakeholders about the personalised learning journey of each student. By analysing data, we are able to see if students are making the expected progress (value added), or investigate the necessity of targeted intervention.  At Danube, we also collect qualitative information via a whole school survey that gives the perceptions of parents, staff and students about the overall state of the school.  This data once analysed then gives direction for the school in terms of development planning to improve future learning.


In contrast, if the only form of data used is internal end of semester grades produced solely from the teacher’s perspective, then the opportunity to analyse data to improve learning is more limited. 



Book Record

Book Record

"striving for EXCELLENCE by ENGAGING minds, EXCITING learners, acting ETHICALLY and showing EMPATHY"

© 2014 by Ian Piper and Adam Sawyer.  All rights reserved.

Proudly created with the staff of Danube International School Vienna and with feedback from the international school community

Josef-Galle Gasse 2, 1020, Vienna, Austria

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Our goal in publishing our GL model is to influence the discussion regarding what is a good school to the core idea of learning.  We give permission for individuals and educational institutions to use the information found on this website for non-commerical research and educational use only, provided that the source is and authors are clearly cited.  We do not give permission for the ideas and content created on this website to be used for commercial purposes.