Student Predictive Analytics Services docs
It is a clone of this request.
Submitted | Oct. 4, 2023 |
Est. Completion | None |
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Communications
From: Todd Feathers
To Whom It May Concern:
Pursuant to the Georgia Open Records Act, I hereby request records related to student predictive analytics services used by the university.
For the purpose of this request, the term "student predictive analytics services" means software or computer code that employ machine learning models to generate predictions about individual students or groups of students for one or more of the following purposes:
a) To generate predictions about which prospective student names/contact information to buy from vendors such as the College Board, ACT, Cappex, etc. for advertising and recruiting.
b) To generate predictions about prospective students' likelihood to apply to, be admitted to, and/or enroll at the university.
c) To generate predictions about prospective students' financial aid needs and/or likely response to different financial aid packages.
d) To generate predictions about enrolled students' likelihood of passing a class, re-enrolling for another term (retention), and/or graduation (these tools are often called early warning systems).
e) To generate predictions about students' behavior and/or safety (e.g. whether a student is at risk of harming themselves or others).
f) To generate predictions about academic integrity (e.g. test proctoring software and generative AI detection).
g) To generate predictions about which majors or careers students are best suited to.
My request applies to student predictive analytics services used by the university during the 2022-23 academic year, including those developed in-house by the university or purchased by the university from a vendor.
For each student predictive analytics service the university used during the 2022-23 academic year, I request:
1) All active contracts, statements of work, and data sharing agreements between the university and the vendor regarding the student predictive analytics service.
2) Records defining the input variables and their weights/relative power for each student predictive analytics service model the university used during the 2022-23 academic year (In other words, records defining the data points fed into each predictive model and their respective impacts on the model's output).
3) Records documenting the accuracy (AUC, true/false positive, specificity, lift, etc.) of each student predictive analytics service the university used during the 2022-23 academic year.
4) Any validation studies, disparate impact studies, or other records documenting how the student predictive analytics services the university used during the 2022-23 academic year performed across different student groups (e.g. Black students vs. Hispanic students, male students vs. female students).
I ask that all fees be waived as I am a journalist and intend to use the requested records to publish articles in the public interest about the operations of a government agency. If you choose to impose fees, I ask that you provide an explanation of the fees, including the hourly wage of the lowest-paid employee capable of fulfilling the request.
If you choose to reject this request or redact portions of responsive documents, I ask that you cite the statutory exemptions and associated case law underlying your decision to withhold each portion from public review.
The requested documents will be made available to the general public, and this request is not being made for commercial purposes.
In the event that there are fees, I would be grateful if you would inform me of the total charges in advance of fulfilling my request. I would prefer the request filled electronically, by e-mail attachment if available or CD-ROM if not.
Thank you in advance for your anticipated cooperation in this matter. I look forward to receiving your response to this request within 3 business days, as the statute requires.
Sincerely,
Todd Feathers
From: Clayton State University
This email is to formally acknowledge that Clayton State University is in receipt of your open records request dated October 5th, 2023. As allowed by the Act (O.C.G.A. 50-18-71 (c) ( 1)), an administrative fee will be charged prior to releasing the requested information. Please note, the University is only responsible for providing records that are in our current possession. Per the Act (O.C.G.A. 50-18-71(j)) which states, “No public officer or agency shall be required to prepare reports, summaries or compilations not in existence at the time of the request.
Your request has been submitted to the department responsible for maintaining the requested information. I will notify you when a response has been received.
Respectfully,
Open Records Request Office
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From: Clayton State University
We have received a response to your request from the department and there is no information available pursuant to this request.
Sincerely,
Ceimone Strickland
Special Assistant of Institutional Affairs and Compliance
Office of the President
From: Todd Feathers
Hello Ceimone,
Thank you very much for your help with this request, but could you please clarify your response. Does the university not have the responsive records or is the university declining to make them available?
Best,
Todd
From: Clayton State University
We do not have responsive records. We are not declining to provide them.
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