Student and staff data: use of data analytics and machine learning

Jen Persson made this Rhyddid Gwybodaeth request to University of Wales Trinity St David as part of a batch sent to 60 authorities

This request has been closed to new correspondence from the public body. Contact us if you think it ought be re-opened.

Roedd y cais yn llwyddiannus.

Dear University of Wales Trinity St David,

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.
Sincerely,

Jen Persson

Paul Osborne, University of Wales Trinity St David

4 Atodiad

Dear Jen,

 

Thank you for your freedom of information request received by this office
today, 28^th November 2018. I will respond to your request as quickly as
possible and within the statutory timeframe.

 

Yours sincerely,

 

Paul Osborne   BSocSc(Hons) LLM,
Solicitor                                                                                                            

Swyddog Diogelu Data   /  Data Protection Officer

Campws Abertawe SA1 6ED Cymru DU  / Swansea Campus SA1 6ED Wales UK

Llinell Uniongyrchol / Direct Line: 01792
481180                                               

e-bost / e-mail: [1][email address]

 

 

[2]UWTSD Logo

 

 

Trawsnewid Addysg . . . Trawsnewid Bywydau

Transforming Education . . . Transforming Lives

 

[3]Investors in
People[4]cid:image002.jpg@01D1367F.6C534CC0[5]http://www.uwtsd.ac.uk/media/uwtsd-websi...

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Paul Osborne, University of Wales Trinity St David

4 Atodiad

 

Dear Jen,

 

Thank you for your freedom of information request received by this Office
on 28^th November 2018. I would respond to your questions in red beneath.

 

 

 

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: Currently
No
1b) if so, which ones?   N/A
1c) what date this data analytics processing began?  N/A
1d) indicate whether in the past and ended, or still in current use N/A

2a). Any predictive analytics software such as used in but not only,
Blackboard, Xray and JISC supported Civitas. Currently No

2b) if so, which ones? N/A
2c) what date this analytics processing began for predictive purposes? N/A

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)  Currently No

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)?   N/A

6. How many people/user accounts have access to the whole population
student data in any of the above in this calendar year?   N/A

 

 

 

You may request a review of the information contained within this freedom
of information response from my colleague Kevin Brice
([1][email address]<mailto:[email address]>) If you remain
dissatisfied following the review you may appeal to the Information
Commissioner at ico.org.uk. Alternatively, you may write to the ICO at:

 

Head Office

Information Commissioner's Office

Wycliffe House

Water Lane

Wilmslow

Cheshire

SK9 5AF

Tel: 0303 123 1113 (local rate) or 01625 545 745 if you prefer to use a
national rate number

 

Yours sincerely,

 

Paul Osborne   BSocSc(Hons) LLM,
Solicitor                                                                                                            

Swyddog Diogelu Data   /  Data Protection Officer

Campws Abertawe SA1 6ED Cymru DU  / Swansea Campus SA1 6ED Wales UK

Llinell Uniongyrchol / Direct Line: 01792
481180                                               

e-bost / e-mail: [2][email address]

 

 

[3]UWTSD Logo

 

 

Trawsnewid Addysg . . . Trawsnewid Bywydau

Transforming Education . . . Transforming Lives

 

[4]Investors in
People[5]cid:image002.jpg@01D1367F.6C534CC0[6]http://www.uwtsd.ac.uk/media/uwtsd-websi...

 Please consider the environment - do you really need to print this email?
/ Cysidrwch yr amgylchedd - a oes wir angen argraffu'r ebost hwn?

 

 

 

References

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2. mailto:[email address]