Student Predictive Analytics Services docs
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| Submitted | Sept. 5, 2023 |
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Communications
From: Todd Feathers
To Whom It May Concern:
Pursuant to the Pennsylvania Right to Know Act, I hereby request records related to student predictive analytics services used by the college.
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 college.
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 sometimes called early warning systems).
My request applies to student predictive analytics services used by the college during the 2022-23 academic year, including those developed in-house by the college or purchased from a vendor.
I request:
1) All contracts and statements of work between the college and outside parties for student predictive analytics services that the college used during the 2022-23 academic year.
2) Records defining the input variables and their weights/relative power for each student predictive analytics service the college 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 college used during the 2022-23 academic year.
4) Any validation studies, disparate impact studies, or other records documenting differences in how the student predictive analytics services the college used during the 2022-23 academic year performed across student groups (e.g. Black students vs. White 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 5 business days, as the statute requires.
Sincerely,
Todd Feathers
From: Muckrock Staff
Hello,
Please find the request form attached. Thank you for your help with this request.
Sincerely,
MuckRock
From: Community College Of Beaver County
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Hello,
Thanks for contacting us! Your request (94114) has been received and we'll get back to you as soon as possible. If you’d like to send an update, please reply to this email.
If you would like immediate help, please visit our self service knowledge base: https://ccbc.zendesk.com/hc/en-us
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Thanks,
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This email is a service from Community College of Beaver County.
[Y6K0GE-J500K]
From: Community College Of Beaver County
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Hello,
Thanks for contacting us! Your request (94114) has been received.
In the interest of handling your request as efficiently as possible, please respond to this email with the following information, if it was not initially provided:
• Your expected timeline and/or any external deadlines we should be aware of;
• The intended audience for this data;
• Whether this query may need to be repeated in the future.
Please note that failure to provide this information may delay the processing of your request. Thank you in advance for your assistance!
Thanks,
--------------------------------
This email is a service from Community College of Beaver County.
[Y6K0GE-J500K]
From: Todd Feathers
Hello,
My expected deadline for this information is October 5. I am a journalist and my intended audience is the general public. I do not expect to repeat this query in the future.
Sincerely,
Todd Feathers.
From: Community College Of Beaver County
[cid:image001.jpg@01D9E0E9.4BFFFE10]Sept. 6, 2023
Todd Feathers
MuckRuck News
DEPT MR151605
263 Huntington Ave.
Boston, MA 02115
617-299-1832
330-490-7418
Dear Mr. Feathers,
Thank you for writing to the Office of Open Records (“OOR”) at Community College of Beaver County (CCBC) with your request for information pursuant to the Pennsylvania Right-to-Know Law, 65 P.S. 67.101, et. seq.
Today, you requested the following information in electronic format for journalistic pursuits.
Records related to student predictive analytics services used by the college, which you define as 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.
* 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.
* To generate predictions about prospective students' likelihood to apply to, be admitted to, and/or enroll at the college.
* To generate predictions about prospective students' financial aid needs and/or likely response to different financial aid packages.
* To generate predictions about enrolled students' likelihood of passing a class, re-enrolling for another term (retention), and/or graduation (these tools are sometimes called early warning systems).
This request applies to student predictive analytics services used by the college during the 2022-23 academic year, including those developed in-house by the college or purchased from a vendor.
As a result, you request:
* All contracts and statements of work between the college and outside parties for student predictive analytics services that the college used during the 2022-23 academic year.
* Records defining the input variables and their weights/relative power for each student predictive analytics service the college 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).
* Records documenting the accuracy (AUC, true/false positive, specificity, lift, etc.) of each student predictive analytics service the college used during the 2022-23 academic year.
* Any validation studies, disparate impact studies, or other records documenting differences in how the student predictive analytics services the college used during the 2022-23 academic year performed across student groups (e.g. Black students vs. White students, male students vs. female students).
Pursuant to Section 902(a) of the Right to Know Law, CCBC’s Office of Open Records is submitting a request for an additional 30 days to respond due to one or more of the reasons listed below:
* A timely response to the request cannot be accomplished due to bona fide and specified staffing limitations, 65 P.S. § 67.902(a)(3),
* A legal review is necessary to determine whether the record is a record subject to access under this act, 65 P.S. § 67.902(a) (4), and
* The extent or nature of the request precludes a response within the required time.
CCBC expects to respond to your request on or before Thursday, August 30, 2023.
Should your request exceed 120 pages, a duplication fee in excess of $12.00 (120 pages @ $0.10 per copied page) will be charged. If you have any questions or would like to discuss this matter further, please contact me at 724-480-3552.
Sincerely,
[cid:image002.jpg@01D9E0E9.4BFFFE10]
Leslie Tennant
Associate Vice President of Communications
Right to Know Officer
From: Community College Of Beaver County
Tennant, Leslie would like to recall the message, "Pennsylvania Right to Know Act Request: Student Predictive Analytics Services docs".
From: Community College Of Beaver County
[cid:image001.jpg@01D9E0E9.4BFFFE10]Sept. 6, 2023
Todd Feathers
MuckRuck News
DEPT MR151605
263 Huntington Ave.
Boston, MA 02115
617-299-1832
330-490-7418
Dear Mr. Feathers,
Thank you for writing to the Office of Open Records (“OOR”) at Community College of Beaver County (CCBC) with your request for information pursuant to the Pennsylvania Right-to-Know Law, 65 P.S. 67.101, et. seq.
Today, you requested the following information in electronic format for journalistic pursuits.
Records related to student predictive analytics services used by the college, which you define as 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.
* 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.
* To generate predictions about prospective students' likelihood to apply to, be admitted to, and/or enroll at the college.
* To generate predictions about prospective students' financial aid needs and/or likely response to different financial aid packages.
* To generate predictions about enrolled students' likelihood of passing a class, re-enrolling for another term (retention), and/or graduation (these tools are sometimes called early warning systems).
This request applies to student predictive analytics services used by the college during the 2022-23 academic year, including those developed in-house by the college or purchased from a vendor.
As a result, you request:
* All contracts and statements of work between the college and outside parties for student predictive analytics services that the college used during the 2022-23 academic year.
* Records defining the input variables and their weights/relative power for each student predictive analytics service the college 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).
* Records documenting the accuracy (AUC, true/false positive, specificity, lift, etc.) of each student predictive analytics service the college used during the 2022-23 academic year.
* Any validation studies, disparate impact studies, or other records documenting differences in how the student predictive analytics services the college used during the 2022-23 academic year performed across student groups (e.g. Black students vs. White students, male students vs. female students).
Pursuant to Section 902(a) of the Right to Know Law, CCBC’s Office of Open Records is submitting a request for an additional 30 days to respond due to one or more of the reasons listed below:
* A timely response to the request cannot be accomplished due to bona fide and specified staffing limitations, 65 P.S. § 67.902(a)(3),
* A legal review is necessary to determine whether the record is a record subject to access under this act, 65 P.S. § 67.902(a) (4), and
* The extent or nature of the request precludes a response within the required time.
CCBC expects to respond to your request on or before Friday, October 6, 2023.
Should your request exceed 120 pages, a duplication fee more than $12.00 (120 pages @ $0.10 per copied page) will be charged. If you have any questions or would like to discuss this matter further, please contact me at 724-480-3552.
Sincerely,
[cid:image002.jpg@01D9E0E9.4BFFFE10]
Leslie Tennant
Associate Vice President of Communications
Right to Know Officer
From: Community College Of Beaver County
Dear Mr. Feathers,
Please find attached our final response to your Right to Know Request.
Thank you.
Sincerely,
Leslie Tennant
Associate Vice President of Communications
Right to Know Officer
724-480-3552
leslie.tennant@ccbc.edu<mailto:leslie.tennant@ccbc.edu>
To request public relations and marketing services, go to Project Request Forms<https://www.ixoyedesigns.net/design-submission-form>.
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