Online Pupil Survey 2020 - University of Oxford Lockdown Edition 

Data Access to the Oxwell School Survey 2020

Summaries of your results from the Oxwell Schools Survey during the Lockdown period in May to July last academic year are now available online to view in detail, following the preliminary reports of some findings which schools received in August.

Over twenty thousand children and young people from 238 primary, secondary schools and colleges across Oxfordshire, Gloucestershire, South Gloucestershire, Wiltshire, Berkshire and Buckinghamshire as well as a few schools from Bristol, North Somerset and Surrey took part in this survey providing valuable insight into children and young people’s mental health and wellbeing and experiences during the COVID-19 lockdown.

Accessing the survey results for your school or college

Summaries of survey results are available to view on the Lodeseeker portal.

To access your schools’ results please visit the Lodeseeker website address: https://www.fabresearch.com/oxwellsurvey.htm and log in using the details which have been sent to your school or college. 

For a snapshot of what your pupils are saying, you can download various ‘Reports’ from your school dashboard (the landing page when you login) or you can access it under Reports in the results section).

The Oxwell Lodeseeker website can produce data reports automatically and help you look at the findings for particular groups of pupils.  There are instructions on how to use Lodeseeker in the help and support section of the website and we are running live webinars in different counties.

Part 1: how to start using Lodeseeker to access the available OxWell School Survey Information

Part 2: how school staff can use lodeseeker to better understand the OxWell School survey data.

If you would like a student login for pupils to use in class or have not received your log in details for your setting, please contact Pauline Foster paule@fabresearch.com who can organise this. The student login will not show your school details but will allow them to explore this extensive dataset which we hope will provide an interesting and unique learning opportunity.