Student and staff data: use of data analytics and machine learning
Dear Queen Mary, University of London,
I am making a request under the Freedom of Information Act 2000 (FOIA).
Please can you provide information pertaining to any data analytics software used by the university using personal data about your students and staff, since 2012.
1a). Whether you are using any data analytics software at all:
1b) if so, which ones?
1c) what date this data analytics processing began?
1d) indicate whether in the past and ended, or still in current use
2a). Any predictive analytics software such as used in but not only, Blackboard, Xray and JISC supported Civitas.
2b) if so, which ones?
2c) what date this analytics processing began for predictive purposes?
3. If the answer to Q1a or Q2a is yes, please provide a copy of any contract terms on using the data by the provider company including
a) the data items feedling analytics, any profiling, and/or used in prediction
b) what the prediction purposes / aims are
c) training the software (such as AI and machine learning) by the provider using the data provided via your organisation.
4. Whether the University is using its own student or staff population data for machine learning for purposes not included in 1-3 above? (ie but not only, within the university computing department for any project or with another third-party)
5. From which time periods were the student or staff data collected which are processed in any of the above (ie not only, retrospective student data from the last ten years / only current intake which began in autumn term 2018)?
6. How many people/user accounts have access to the whole population student data in any of the above in this calendar year?
Thank you for your consideration.
Dear Jen Persson,
Thank you for your email of 28th November.
I am pleased to provide the following responses.
1b) Microsoft Power BI.
1c) September 2015
1d) Current use.
2b) & 2c) N/A
3. This is an in-house development. It incorporates use of Moodle,
attendance and coursework submission.
5. Student data is processed from when they begin their programme of study
and retained until three years after they finish their programme of study.
6. 5 people.
If you are dissatisfied with this response, you may ask QMUL to conduct a
review of this decision. To do this, please contact the College in
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communication to submit a review request. When the review process has
been completed, if you are still dissatisfied, you may ask the Information
Commissioner to intervene. Please see www.ico.org.uk for details.
Records & Information Compliance Manager
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